Vollna AI Bot for Upwork Projects

We are looking for a top-level Telegram bot developer who can build a high-quality system in a short timeframe.

The task is to integrate an AI bot into existing Telegram trainer accounts using Telegram Business, so the bot can communicate from the trainer’s account, not from a separate external bot.

The system should help trainers manage conversations, send personalized messages, and safely organize communication with their warm contacts.

**What we need:**

— Connect an AI bot to Telegram Business accounts of trainers.
— The user should see the message as coming from the trainer’s account, not from a separate bot.
— The bot should be able to send broadcasts/messages to selected contacts or segments.
— The system should avoid sending identical mass messages. We need AI personalization: we provide one base message, and the bot adapts it individually for each person based on their previous conversation, interests, name, status, and context.
— Add safe sending logic: queues, pauses, sending limits, segmentation, unsubscribe option, logs, and manual approval before launch.
— The system should minimize the risk of Telegram restrictions by using only correct, official, and compliant methods.
— No grey userbot solutions, no spam tools, no risky automation of personal accounts.
— Ideally, the bot should be able to use or connect to our existing Arthur knowledge base from arthur-mentor.com.
— We may later need CRM integration, admin dashboard, statistics, and human handoff to the trainer.

**Important:**
We are not looking for a cheap basic chatbot. We need a very experienced developer who understands Telegram Bot API, Telegram Business integration, AI personalization, safe messaging architecture, backend development, and scalable systems.

Budget is flexible for the right expert. Speed and quality are very important.

**Please apply only if you can clearly explain:**

1. Have you worked with Telegram Business bots before?
2. How would you connect one AI system to multiple trainer accounts?
3. How would you personalize each message based on previous chat history?
4. How would you build safe sending limits, unsubscribe logic, logs, and segmentation?
5. Can you work with an existing knowledge base / existing AI backend?
6. What technology stack would you use?
7. How quickly can you deliver the first working version?

We are ready to start immediately with the right developer.

I'm looking for a skilled Zapier expert to help me automate repetitive tasks and connect the apps my business runs on. I need clean, reliable Zaps built fast — with proper error handling and clear documentation.

What You'll Be Doing:
• Build new multi-step Zaps from scratch based on my requirements
• Connect apps such as Gmail, Google Sheets, Slack, CRMs, forms, and more
• Set up filters, formatters, paths, and conditional logic inside Zaps
• Audit and improve any existing Zaps that are slow or broken
• Document each workflow so my team can manage it going forward

Requirements:
• Strong, proven experience with Zapier (please share examples or portfolio)
• Knowledge of Zapier's advanced features — Paths, Formatter, Webhooks, Sub-Zaps
• Ability to understand business processes and translate them into automations
• Clear communicator who gives updates without being asked
• Detail-oriented with a clean, organized approach to workflow building

Nice to Have:
• Experience integrating tools like HubSpot, Notion, Airtable, Shopify, or Typeform
• Familiarity with Zapier's Code step (JavaScript or Python)
• Experience on Zapier Teams or Company plans

Deliverables:
• Fully built and tested Zap(s)
• Short walkthrough (written or video) explaining how each Zap works
• Documentation for future edits or troubleshooting

To apply, please share 2–3 Zapier automations you've built and describe the business problem each one solved. Fixed-price preferred — open to discussion based on complexity.

We are seeking an experienced AI Automation Engineer / AI Developer to build cutting-edge AI Agents, Agentic AI systems, AI Chatbots, and Workflow Automation solutions for businesses across multiple industries.

The ideal candidate has hands-on experience with OpenAI GPT-5, Claude, Gemini, LangChain, LangGraph, CrewAI, RAG Systems, Vector Databases, and modern automation platforms such as n8n, Make.com, and Zapier.

This is an exciting opportunity to work on real-world AI applications that automate business operations, improve efficiency, and create scalable AI-powered products.

Responsibilities:
Design and develop advanced AI Agents and Agentic AI workflows.
Build custom AI Chatbots and Conversational AI solutions.
Implement Retrieval-Augmented Generation (RAG) systems using vector databases.
Integrate OpenAI, Claude, Gemini, and other LLMs into business applications.
Develop AI-powered automation solutions using n8n, Make.com, and Zapier.
Create Voice AI Agents using tools such as Vapi, Retell AI, and Twilio.
Build backend systems using Python, FastAPI, APIs, and webhooks.
Connect AI systems with CRMs, databases, and third-party applications.
Optimize prompts, workflows, AI performance, and user experience.
Collaborate with stakeholders to translate business requirements into scalable AI solutions.

Required Skills:
Strong proficiency in Python Development.
Experience with OpenAI GPT-5, Claude, Gemini, or other Large Language Models (LLMs).
Hands-on experience with LangChain, LangGraph, CrewAI, or similar AI frameworks.
Experience building AI Agents, AI Assistants, and Custom AI Solutions.
Knowledge of Prompt Engineering and AI workflow design.
Experience with RAG Architecture, embeddings, and vector databases such as Pinecone, Weaviate, or ChromaDB.
Experience with n8n, Make.com, or Zapier.
API integrations, webhooks, and automation experience.
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
Understanding of Docker, deployment, and scalable system architecture.
Preferred Qualifications
Experience building AI SaaS Products.
Experience with Voice AI, AI Calling Agents, and Speech-to-Text systems.
Full Stack development experience using React, Next.js, and Node.js.
Knowledge of MCP (Model Context Protocol).
Experience working with enterprise-level AI implementations.
Project Scope

We are looking for a long-term partner who can help us develop and deploy AI-powered business solutions, including:

AI Chatbots
AI Sales Automation
Lead Generation Automation
CRM Automation
Voice AI Agents
AI Assistants
Business Process Automation
AI SaaS Applications
Custom AI Agent Development

We are looking for an experienced AI automation specialist to help us create an efficient customer support workflow that reduces manual handling and improves response times.

The project involves building a system that can automatically review incoming support requests, classify them by topic, route them to the correct team, and generate AI-powered response suggestions for our support staff.

The workflow should connect seamlessly with our email system and CRM, ensuring support requests are organized and tracked from start to finish.

Ideal candidates have experience with AI integrations, workflow automation, customer support operations, and tools such as OpenAI. We value practical problem-solvers who can design reliable, easy-to-manage systems that improve day-to-day efficiency.

If you have built similar automation solutions and can recommend best practices for support workflow optimization, we would love to hear from you.

Full-Stack Developer (Lovable + Supabase + AI Automation + Google Vision) — 3-4 Week Contract
HVAC Lead Generation SaaS | Remote | Apply Immediately | Long-Term Potential
The Project
We're building the first AI-powered lead qualification platform for the $160B HVAC industry. Two applications already scaffolded inside Lovable — we need a full-stack developer to wire them to production and ship.
Homeowners get screwed on HVAC quotes every day. Contractors oversell equipment using sizing "rules of thumb" that are 40+ years old. We built a system that stops it: the Guzzler Score — an 8-factor home efficiency rating that protects consumers and pre-qualifies leads before they ever hit a sales floor. Think Carfax for your AC.
Here's how the funnel actually works:
Phase 1: The Quiz (Preliminary Score)
Homeowner answers 12 questions about their HVAC system — age, energy bills, repair history, hot/cold spots, noises, etc. The scoring engine (configurable weighted algorithm) outputs a Preliminary Guzzler Score from 0–100. Higher = worse. Immediately they see "78/100 — High Guzzler."
Phase 2: Photo Verification (The Conversion Engine — THIS IS THE HARD PART)
The preliminary score has a hook: "But your data plate might tell a different story than your memory." The homeowner is guided through a gamified 7-photo verification sequence across 4 sets by "Cora," our AI handholding agent:
Set
Photos
Dollar Unlock
What Google Cloud Vision OCR Extracts
Set 1: Outdoor Unit
3 photos (stand-back, close-up, data plate)
$325
SEER rating, tonnage, manufacture date, refrigerant type (R-22 vs R-410A), model number, brand, coil condition
Set 2: Breaker Panel
2 photos (panel closed, breakers open)
$100
Panel capacity, breaker sizing, dedicated HVAC circuit detection
Set 3: Thermostat
1 photo
$75
Thermostat type (smart/programmable/manual), staging capability
Set 4: Electric Bill
1 photo
$500
kWh usage, monthly cost, rate tier, utility provider, billing period
Total unlock: $900 in discount credits. Progress bar moves across the screen. Cora congratulates between sets. Confetti on full completion. The verified Guzzler Score is revealed immediately — and it often differs from the preliminary score, which creates the trust moment: "They caught something I didn't know."
This is NOT a simple photo upload form. It's a sequenced, stateful, gamified verification pipeline with:
Google Cloud Vision OCR extracting structured data from HVAC data plates (model numbers, SEER ratings, manufacture dates — often tiny text on reflective metal stickers photographed by non-technical homeowners)
Google Cloud Vision analyzing equipment condition from outdoor unit photos (rust, debris, coil condition)
OCR on electric bills extracting kWh usage, rate tiers, and billing periods from wildly inconsistent utility formats
Real-time score recalculation as photo data overrides self-reported quiz answers
Skip handling: photos can be skipped with flags for in-home verification
Safety guardrails: Cora warns homeowners not to touch electrical panels or enter unsafe areas
Phase 3: Virtual Consultation & Close
Verified-score homeowners book a 20-minute virtual call. The Guzzler Score PDF (4-page Energy Drain & Equipment Lifecycle Analysis) auto-generates from quiz + photo data and is auto-emailed on calendar booking. Our sales team closes at 90% on verified leads.
Phase 4: Contractor Marketplace (B2B Monetization)
The Guzzler Score powers a color-coded lead marketplace where HVAC contractors browse pre-qualified, scored leads:
Tier
Color
Score
Price to Contractor
Service/Repair
🟡 Yellow
0–49
$45–75
Replacement
🟠 Orange
50–75
$150–250 (exclusive)
Pre-Sold Appointment
🔴 Red
76–100
$400–600 (exclusive, 24hr claim window)
Virtual Conditional Proposal
🟢 Green
Any
10% revenue share
Leads include the full diagnostic profile: Guzzler Score with subscore breakdown, Google Vision-verified equipment specs, electric bill analysis, EDS load calc sizing data, and Cora's conversational history. All leads are exclusive to one contractor per territory.
What's Already Built
Both apps scaffolded in Lovable (Pro plan, $20/mo) with full UI/UX
Supabase connected at the project level (Postgres, Auth, Storage, Edge Functions available)
Brand identity, design system, user flows, and quiz frontend are complete
Guzzler Score algorithm is fully spec'd: 12 questions → 8 weighted subscores → preliminary score → photo-verified override → verified score
Pricing model, funnel rules, marketplace logic, and photo verification sequence are documented (locked spec)
Hermes AI agent framework deployed on the business side (Slack alerts, follow-up automation)
What You'll Do (4-6 Weeks)
Week 1-2: Database, Auth & Scoring Engine
Wire Lovable apps to Supabase: proper schema, relationships, Row Level Security
User authentication flows (email/password + Google OAuth) end-to-end
Build the configurable Guzzler Score weighting engine (weights in a config file, not hardcoded — we will tune them as data comes in)
Data models: quiz responses, preliminary scores, Guzzler Score assessments (8 subscores), user profiles, photo uploads, vision results, contractor listings, lead marketplace transactions, claim records, revenue share tracking
EDS load calc API integration for the Sizing Mismatch subscore
Week 2-4: Photo Verification Pipeline & AI Agent Integration (THE CORE)
Google Cloud Vision OCR pipeline:

Upload flow: homeowner submits photos → Supabase Storage → Google Vision API → structured data extraction → score recalculation

Data plate OCR: extract SEER, tonnage, manufacture date, refrigerant type, model number from HVAC data plates (inconsistent formats, reflective surfaces, tiny text — this is the hardest OCR problem in the stack)

Electric bill OCR: extract kWh usage, monthly cost, rate tier, utility provider from wildly varying utility bill layouts

Equipment condition analysis: coil condition, rust detection, debris from outdoor unit photos
Gamified verification sequence: 4-set progress bar with dollar unlocks, Cora transitions between sets, confetti on completion, skip handling
Cora AI handholding agent that guides homeowners through both the quiz and the photo upload — conversational UX, prompts for photos, analyzes responses, explains scores in plain English
Real-time score recalculation: when Google Vision returns verified equipment specs that differ from self-reported quiz answers, the verified Guzzler Score updates immediately
Twilio SMS integration: verification reminders, follow-ups, contractor appointment confirmations
Week 4-6: Marketplace, Payments & Production
Contractor lead marketplace: browsing, filtering by score/tier/urgency, claiming with exclusivity rules (Yellow = shared max 2, Orange = exclusive first-claim, Red = exclusive + 24hr countdown timer)
Dynamic pricing with Time-to-Talk (TTT) multiplier: ASAP leads get 1.5× surge pricing and instant SMS push to contractors
Stripe payment integration for lead purchases (already provisioned in Stripe Projects)
Slack webhook: real-time sold deal alerts and contractor claim notifications to the sales team
Guzzler Score PDF auto-generation and email delivery on calendar booking
Out-of-network flow: ZIP code lookup → optional $14.99 standalone PDF purchase for homeowners outside service area
Production deployment, QA, edge cases
Tech Stack
Layer
Tools
Frontend
Lovable (React/TypeScript output)
Backend/Database
Supabase (PostgreSQL, Auth, Storage, Edge Functions, Realtime)
AI/Agent
LLM API integration, conversational UX, prompt engineering
Computer Vision / OCR
Google Cloud Vision API — document_text_detection for data plates and electric bills, label_detection for equipment condition
Communication
Twilio (SMS), Slack API (webhooks)
Payments
Stripe (provisioned via Stripe Projects)
DevOps
Vercel/Netlify (Lovable deploy), GitHub
You're a Fit If You:
Have built and shipped full-stack apps with Lovable + Supabase — you know the quirks
Strong React/TypeScript fundamentals (you can go under the hood when Lovable needs it)
Experience with Google Cloud Vision OCR — you've extracted structured data from inconsistent document formats (data plates, utility bills, labels)
Experience with AI/LLM integration — prompting, conversation design, agent UX, real-time data injection into agent context
Have wired Twilio for SMS automation (transactional + conversational)
Understand database design: schemas, RLS policies, Edge Functions, real-time subscriptions
Can build gamified, stateful user flows — progress bars, staged unlocks, skip handling, confetti triggers
Move fast — this is a 4-6 week sprint, not a 6-month engagement
Strong preference for developers who have built OCR pipelines on user-submitted photos (receipts, documents, equipment labels) and/or gamified consumer onboarding flows. If you've shipped something in HVAC, home services, or insurance, you're hired yesterday.
The Opportunity
This is a 4-6 week contract to ship v1. But the platform has paying HVAC contractors waiting and a clear growth path. The right developer transitions to a long-term role: new features, scaling the marketplace, expanding to adjacent trades (plumbing, electrical, roofing), building the Guzzler Map (predictive permit-level HVAC health inventory for entire metro areas). You'd be the technical backbone of a funded, revenue-generating startup in an industry that's desperate for this.
We move fast. If you're reading this and it fits, apply now.
How to Apply
1. Start your proposal with the word "Guzzler" so we know you read the whole thing
2. Tell us about a Lovable + Supabase project you shipped
3. Tell us about an OCR pipeline you built — specifically, extracting structured data from inconsistent, user-submitted photos (receipts, labels, documents, equipment plates)
4. Share one thing you'd improve about the gamified photo verification experience for a non-technical homeowner
5. Your availability: can you start this week?
Budget: Fixed price — $1,000 to $1,500 for the full 4-6 week scope. Flat fee, milestone-based. No hourly. Here's the breakdown:
Milestone
Deliverable
Payment
Milestone 1
Supabase schema, auth flows, RLS policies, configurable scoring engine wired to both Lovable apps
$350-500
Milestone 2
Google Vision OCR pipeline (data plate + electric bill extraction), Cora AI agent with conversational UX, gamified photo verification sequence (4-set progress bar, dollar unlocks, confetti, skip handling), real-time score recalculation, Twilio SMS flows
$350-500
Milestone 3
Contractor marketplace live (color-coded tiers, exclusivity rules, 24hr countdown timers), TTT dynamic pricing, Stripe payments, Slack alerts, PDF auto-generation, production deploy
$300-500
Tell us your fixed price for the full scope. If you need to see the apps first to quote accurately, say so — we'll screen-share inside Lovable.
No hourly. No scope creep. Milestone releases on delivery.
ComfortIQ — The Guzzler Score. 12 questions. 7 photos. One verified diagnosis. Protect the homeowner. Pre-qualify the lead. Close at 90%.

About Us:
We are an internationally active education services provider offering training, qualification programs, and learning solutions across multiple markets. To strengthen our business development, we are looking for an experienced freelancer to build an automated AI bot that identifies relevant public tenders and procurement opportunities in the education sector.

Project Overview:
The bot should automatically scan tender portals at regional, national, and international levels, filter results based on defined criteria, and integrate findings into our internal systems (tbd) — enabling our team to respond to relevant opportunities faster and more efficiently.

Portals to Cover:
- Regional: State/municipal procurement platforms (focus: Germany)
- National: e.g. DTVP, evergabe, Bund.de, BAMF procurement notices
- International: e.g. TED (EU-wide), UNGM, World Bank, national portals of key target markets

Filtering Criteria:
- Keywords (to be defined collaboratively with the contractor)
- Publication date / submission deadline

Technical Requirements:
- Automated crawling & scraping of target portals
- AI-based relevance scoring of results
- Integration into our internal system via API or structured data export
- Notification feature for new relevant matches (email or webhook)
- Scalable architecture to add further portals over time
- Documentation and handover

What We Expect:
- A working MVP with at least 3 integrated portals
- Clean, documented code with handover documentation
- Willingness to iterate based on feedback
- Clear communication and milestone-based delivery

Please include in your proposal:
- Relevant examples or past projects (scraping bots, automation tools, AI integrations)
- Your proposed tech stack
- Timeline and cost estimate
- Any questions to clarify scope

We look forward to working with a reliable, technically strong freelancer who understands the public procurement landscape.

We are looking for an experienced AI Automation / AI Agent Developer to build a highly autonomous content production system for a finance-focused YouTube channel.

The goal is to dramatically reduce the manual preparation required for YouTube videos and enable the production of at least two high-quality videos per week.

This is an urgent project and we are looking for someone who can start immediately.

⸻

Project Goal

Build an AI-powered workflow that can handle the majority of the research and preparation process before recording.

The final output should allow our presenter to simply review the material, record the video, and publish.

⸻

Required Capabilities

The AI Agent should be able to:

1. Competitor Intelligence

* Monitor and analyze competing YouTube channels
* Analyze video topics, titles, thumbnails, hooks, and content structure
* Identify content trends and patterns
* Detect topics that are currently performing well

2. Market Research

* Research relevant developments, news, and trends within the financial and investment industry
* Gather information from multiple sources
* Surface the most important insights and opportunities

3. Content Ideation

* Generate high-quality video ideas
* Prioritize topics with strong YouTube growth and viral potential
* Recommend the best content opportunities based on research and competitor analysis

4. Script Creation

* Generate complete YouTube video scripts
* Create strong hooks and retention-focused structures
* Organize content in a clear and engaging format
* Deliver scripts that require minimal editing before recording

5. Presentation Preparation

* Automatically generate a first draft for presentation slides
* Structure the content slide-by-slide
* Provide headlines, key talking points, and suggested visuals

⸻

Success Criteria

The system should consistently generate enough high-quality content preparation to support:

* 2 YouTube videos per week
* Minimal manual research
* Minimal script preparation
* Consistent content quality

⸻

Technical Requirements

We are open to different approaches and platforms.

Possible technologies include:

* OpenAI
* Claude
* Gemini
* Custom AI Agents
* Zapier
* Make
* n8n
* LangGraph
* CrewAI
* Other suitable solutions

We care about the result, not the specific stack.

⸻

Please Include

1. Examples of similar AI Agent projects
2. Your proposed architecture
3. Estimated timeline
4. Estimated budget
5. How you would approach this project

Urgent Hiring – We are looking to begin immediately with the right candidate.

About Us:
We are an internationally active education services provider offering training, qualification programs, and learning solutions across multiple markets. To strengthen our business development, we are looking for an experienced freelancer to build an automated AI bot that identifies relevant public tenders and procurement opportunities in the education sector.

Project Overview:
The bot should automatically scan tender portals at regional, national, and international levels, filter results based on defined criteria, and integrate findings into our internal systems (tbd) — enabling our team to respond to relevant opportunities faster and more efficiently.

Portals to Cover:
- Regional: State/municipal procurement platforms (focus: Germany)
- National: e.g. DTVP, evergabe, Bund.de, BAMF procurement notices
- International: e.g. TED (EU-wide), UNGM, World Bank, national portals of key target markets

Filtering Criteria:
- Keywords (to be defined collaboratively with the contractor)
- Publication date / submission deadline

Technical Requirements:
- Automated crawling & scraping of target portals
- AI-based relevance scoring of results
- Integration into our internal system via API or structured data export
- Notification feature for new relevant matches (email or webhook)
- Scalable architecture to add further portals over time
- Documentation and handover

What We Expect:
- A working MVP with at least 3 integrated portals
- Clean, documented code with handover documentation
- Willingness to iterate based on feedback
- Clear communication and milestone-based delivery

Please include in your proposal:
- Relevant examples or past projects (scraping bots, automation tools, AI integrations)
- Your proposed tech stack
- Timeline and cost estimate
- Any questions to clarify scope

We look forward to working with a reliable, technically strong freelancer who understands the public procurement landscape.

Skills: PHP, Java, Python, Data Processing, Web Scraping, Software Architecture, Data Scraping, Automation, API Integration, AI Development

We need a Python developer to build a document analysis tool that leverages the Claude AI API. This is a specific, well-defined project with clear deliverables.

Project Requirements:

Build a Python application that:

• Accepts PDF and text files as input
• Uses Claude AI API to extract key information, summarize content, and identify action items
• Returns structured output in JSON format
• Implements proper error handling and logging
• Includes a simple CLI interface for easy usage

Technical Specifications:

• Must use Python 3.10+
• Must integrate with Anthropic Claude API (claude-3-5-sonnet or latest)
• Must handle file uploads and processing
• Must implement rate limiting and retry logic
• Code must follow PEP 8 standards
• Must include comprehensive docstrings

Deliverables:

1. Fully functional Python script with proper project structure
2. Requirements.txt with all dependencies
3. README with setup and usage instructions
4. 5+ working test cases demonstrating functionality
5. Clean, production-ready code with comments

Required Skills:

• Python (intermediate-advanced)
• REST API integration
• File handling in Python
• Experience with Claude API preferred

Note: Please share 2-3 examples of previous Python + API integration projects in your proposal.

We are seeking a skilled Bot Engineer/Developer to enhance our chatbot's capabilities. The ideal candidate will have experience in developing and integrating AI technologies to improve user interactions. Responsibilities include designing and implementing new features, optimizing performance, and ensuring seamless integration with existing systems. If you have a passion for AI and bot development, we would love to hear from you!

A detailed project description is attached.

We are seeking an experienced MERN Stack Developer to build a modern web application featuring an AI-powered customer support chatbot with Retrieval-Augmented Generation (RAG) capabilities.

The goal is to create an intelligent support system that can answer customer questions, retrieve information from our knowledge base, provide accurate responses, and reduce manual support workload.

Required Technologies:

MongoDB
Express.js
React.js
Node.js
OpenAI API / LLM Integration
RAG Architecture
Vector Databases (Pinecone, Weaviate, Qdrant, Chroma, or similar)
REST APIs
Authentication & User Management
Cloud Deployment (AWS, Azure, GCP, or similar)

Project Requirements:

Develop a complete MERN Stack application
Build an AI-powered customer support chatbot
Implement RAG functionality for accurate knowledge retrieval
Upload and index documents, PDFs, FAQs, and knowledge base content
Create semantic search and vector embedding workflows
Maintain conversation history and context
Support multilingual responses
Build an admin dashboard for managing knowledge sources
Create analytics and reporting for chatbot performance
Implement role-based access controls
Ensure scalability, security, and performance optimization

Key Features:

Real-time AI chat interface
Human-like customer support responses
Knowledge base integration
Document ingestion and processing
Conversation memory
Lead capture and customer data collection
Ticket creation and escalation workflows
Chat history management
API integrations with third-party platforms

Ideal Candidate:

Strong MERN Stack development experience
Proven experience building AI applications and chatbots
Experience with OpenAI, Anthropic, Gemini, or similar LLMs
Hands-on experience with RAG systems and vector databases
Experience deploying production-grade applications
Strong understanding of AI security and performance optimization

To Apply:
Please provide:

Examples of MERN applications you have built.
AI chatbot or RAG projects you have completed.
Your preferred vector database and why.
Suggested architecture for this project.
Estimated timeline and budget.

We are looking for a developer who can build a scalable, production-ready AI customer support platform and potentially work with us on future AI projects.

I need somebody who is able to diagnose why my A2P is not going through and fix it for me.

I would like the indicator to be turned into an automated bot. I prefer to have a dashboard and a backtesting interface with different settings. The indicator currently has alerts, but I would like to automate it to work with Tradovate and Webull. I have attached a screenshot for reference. Looking for something similar.

Quick easy Shopify task: the first real person who responds and is qualified. (not some ai bot response) will get hired.

Overview
Replace and reformat the description on one Shopify collection page using provided copy. Set title tag and meta description. No writing required all content is provided.

Tasks
Delete existing collection description and paste in provided replacement copy
Format subheadings and bullet lists in Shopify rich text editor
Set provided title tag and meta description in Shopify SEO fields
QA the page confirm formatting renders correctly on desktop and mobile

Requirements
Shopify Admin experience required
Ability to follow exact copy instructions

Deliverables
Updated collection page live on pouchworth.com
Screenshot confirmation of published page and SEO fields

Scope
Single collection page. Estimated 30–60 minutes.
Budget $25

I'm farming out various other small tasks.

Required Tech Stack: WhatsApp-First Rental Management SaaS

Backend

· Node.js (Express.js or NestJS)
· PostgreSQL or Firebase (Firestore)

Frontend (Landlord Dashboard)

· Flutter (iOS + Android)

Messaging Integration

· WhatsApp Business Cloud API (Experience with Twilio, Infobip, or direct Meta API)

Authentication

· Phone Number OTP (Africa's Talking, Twilio Verify, or Firebase Auth)

Cloud Hosting

· AWS, Google Cloud, or DigitalOcean

Experience with multi-tenant SaaS architecture
Experience building WhatsApp chatbots/webhooks

Job Description:

We are looking for a highly skilled full-stack app developer to build a custom internal application designed to streamline our business operations, improve team workflow, automate follow-ups, and integrate AI-powered summaries of team communication.

This app will serve as a central operations hub for our team, helping us stay organized, reduce manual follow-ups, and improve decision-making through daily AI-generated summaries of chats and activities.


Key Responsibilities:

* Build a custom web and/or mobile application for internal team operations
* Design and implement workflow automation features (task assignment, tracking, reminders, follow-ups)
* Integrate AI capabilities to:

* Summarize daily team chats and conversations
* Highlight key decisions, tasks, and action items
* Create a clean, user-friendly dashboard for operations management
* Ensure secure data handling and role-based access for team members
* Integrate with existing tools (Slack, WhatsApp, email, CRM, etc. if needed)
* Provide scalable architecture for future feature expansion

Nice to Have:

* Experience building internal tools or dashboards for teams
* Experience with AI agents, chat summarization, or automation tools
* Knowledge of project management systems (ClickUp, Asana, Monday.com)
* DevOps / deployment experience (AWS, Vercel, Firebase, etc.)


Project Goals:

* Reduce manual follow-ups and missed tasks
* Improve team accountability and visibility
* Automate daily reporting and communication summaries
* Centralize operations in one platform


To Apply, Please Include:

* Relevant past projects (especially AI or automation tools)
* Your approach to building an AI-powered workflow system
* Estimated timeline and budget range

i need designer to create a poster. the design should be creative,modern, and eye-catching. i will provide the content and requirements. looking for someone who can make a professional poster with a good layout,colors,and visual style.

Required Tech Stack: WhatsApp-First Rental Management SaaS

Backend

· Node.js (Express.js or NestJS)
· PostgreSQL or Firebase (Firestore)

Frontend (Landlord Dashboard)

· Flutter (iOS + Android)

Messaging Integration

· WhatsApp Business Cloud API (Experience with Twilio, Infobip, or direct Meta API)

Authentication

· Phone Number OTP (Africa's Talking, Twilio Verify, or Firebase Auth)

Cloud Hosting

· AWS, Google Cloud, or DigitalOcean

Experience with multi-tenant SaaS architecture
Experience building WhatsApp chatbots/webhooks

We are seeking an expert web developer to address bugs, conflicts, and integrations on our website. The ideal candidate will have a strong background in troubleshooting and resolving technical issues efficiently. Responsibilities include identifying and fixing bugs, resolving conflicts between different website components, and ensuring smooth integrations with existing systems. The candidate should be able to work independently and provide clear documentation of the solutions implemented.

Have you ALREADY worked on a FULLY CUSTOM Voice AI Platform??

🔔 ONLY continue if you can show a LOOM video 🎥 of the platform you worked on that’s NOT a VAPI or Retell in the background!!!

A real FULLY custom, full-scale VOICE ai agent platform YOU built that HAS Already handled 100k+ DAILY calls?

ONLY If YES: please answer all questions BELOW 👇

Answer as tactically as possible in order to verify real experience with this

RESPOND ATTENTIVELY:

Did you build a FULLy custom Voice AI calling l platform that has:

1️⃣ Phone number rotation tracking and slam scoring built In

⭕️ Including:

Real-time number reputation monitoring
Carrier health monitoring per number
DID warm-up and cooldown schedules
Geo-matched outbound dialing (also called local area dialing)

2️⃣ Behaviroal SMS workflows that can trigger instantaneous live-transfer calls fully autonomously

3️⃣ Please ANSWER in depth and as technically as possible based on your real live production experience and not theory or ideas.

⭕️ We won’t be able to consider an answer that isn’t highly technical and highly tactical and rooted in real experience with this

(Impress us WITH YOUR ANSWER! And be relevant to what it’s asked please)

Thank you

Please refer to the attached for full details
Go High Level (GHL) White-Label Agency — Onboarding, Setup & Service Delivery Specialist (USA Market)
📌 Reference Code: GHLSETUP-003 | Long-Term Engagement | 100% Performance-Based
________________________________________
About This Opportunity
We are launching a white-label Go High Level (GHL) agency targeting the US market. We need a skilled GHL setup and delivery specialist or small team to onboard new clients, configure their GHL sub-accounts, deliver our full suite of GHL-powered services, and ensure every client goes live cleanly, completely, and professionally.
This is a long-term, on-demand engagement. When a client is closed by our Sales team, the baton passes to you. Your job is to set them up fast in GHL, configure everything correctly, document it thoroughly, and make the client feel they made the right decision signing up.
This is not a basic GHL admin role. We expect professionals with deep, hands-on GHL expertise across the full GHL product suite — someone who can build, configure, test, and deliver complex GHL environments independently from a handoff brief without constant supervision.
________________________________________
Engagement Model
This engagement operates on a purely on-demand and project-based model. There is no monthly confirmation process, no fixed schedule, and no recurring work obligation on either side.
You are on standby and activated per written project commission or per client handoff brief. Once either is received, acknowledge and confirm start within 4 business hours.
________________________________________
🔷 GHL Niche / Industry / Vertical Snapshot Builds
Triggered at the start of the engagement for initial GHL snapshot builds and then on an as-needed written commission basis thereafter.
Deliverable Trigger
GHL Niche / Industry / Vertical snapshot builds Written commission at engagement start
New GHL niche snapshot additions Written commission as needed
GHL snapshot updates or revisions Written commission as needed
Internal GHL delivery workflow or checklist builds Written commission as needed
Snapshot Pricing
$150 flat total for 1 to 3 niches — this is the all-in price covering everything listed below across all niches in the set. No additional charges within this package.
Snapshots are commissioned at the start of the engagement and as needed thereafter. They are built once and deployed repeatedly across multiple clients in the same niche — making every subsequent client onboarding in that niche faster and more consistent.
What Is Included Detail
GHL Niche / Industry / Vertical snapshots 1 to 3 GHL snapshots built, configured, and deployment-ready — $150 covers all niches in the set
GHL pipeline structure Tailored pipeline stages built for each niche's typical sales and service flow
Niche-specific GHL automation workflows Follow-up sequences, lead nurture flows, appointment reminders, and niche-relevant automations
GHL email and SMS templates Written and loaded niche-specific templates ready for deployment
GHL calendar and appointment scheduling Configured for the specific business type and booking flow
GHL review request and reputation automation Set up and ready to deploy per niche
GHL lead capture forms and surveys Niche-relevant forms built and ready
Any other niche-specific GHL pre-configurations All relevant GHL elements for that business type included
GHL staging test Every GHL automation, form, and workflow confirmed functional in staging before delivery
Full GHL snapshot documentation Complete snapshot guide per niche — overview, included elements, deployment instructions, per-client customization checklist, and post-deployment verification steps
60-day post-delivery GHL support Included — covers GHL snapshot deployment questions, fixes, and adjustments for 60 days from delivery date
Snapshot Volume Price
1 to 3 GHL niches $150 flat — total, all-in, no additional charges
Each additional set of 1 to 3 GHL niches $150 flat per set
Example: We commission GHL snapshots for 3 niches — Home Services, Dental, and Fitness → $150 total, all-in. We later commission 2 more niches — Real Estate and Legal → additional $150 flat for that set.
________________________________________
🔷 On-Demand Client Deliverables
Triggered only when a new client is closed and handed off. No work begins without a written client handoff brief from us.
Deliverable Trigger
GHL sub-account creation and white-label branding New client handoff brief received
GHL client onboarding steps and orientation New client handoff brief received
GHL feature and capability configuration (first 10 and additional blocks) New client handoff brief received
Data migration from up to 2 existing systems into GHL New client handoff brief received
GHL website, funnel, or landing page build New client handoff brief received
GHL third-party integrations New client handoff brief received
All client documentation — GHL how-to guides, feature reference sheets, migration reports, go-live checklists New client handoff brief received
Go-live verification and sign-off New client handoff brief received
60-day post-go-live GHL support Automatically included with every onboarding
________________________________________
What You'll Do
• Receive client handoff briefs from our Sales team and execute full GHL sub-account setup and onboarding from scratch
• Build and deploy GHL niche, industry, or vertical snapshots as commissioned — pre-configured GHL templates tailored to specific business types — see snapshot pricing above
• Create and configure white-labeled GHL sub-accounts — fully branded, tested, and ready for production use
• Deploy the full range of purchased GHL features and capabilities for each client — configured, tested, and production-ready including but not limited to:
o Funnels, websites, and landing pages
o Automated workflows and pipelines
o Calendars and appointment scheduling
o Reputation management and review automation
o Conversation AI and chat widgets
o Email and SMS marketing campaigns
o Membership and course areas
o SaaS Mode configuration and snapshot management
o Two-way texting, missed call text-back, and voicemail drops
o Lead capture forms and surveys
o Social media auto-posting
o Payment and invoicing setup
o Reporting and dashboard configuration
• Import, migrate, and map client data from up to 2 existing systems into GHL — CRM platforms, spreadsheets, legacy databases, or other sources — contacts, pipelines, tags, notes, and relevant history
• Build client-facing GHL assets — websites, landing pages, funnels, booking pages, and more
• Integrate third-party tools with GHL as needed — Zapier, Make, Twilio, Mailgun, Stripe, Google Business Profile, Facebook Ads Manager, and others
• White-label all GHL client-facing elements to match the client's branding — logos, colors, custom domain, and messaging
• Produce all required documentation for every onboarding — GHL how-to guides, feature reference sheets, migration reports, go-live checklists, and snapshot guides
• Conduct a thorough GHL go-live check — confirm all features work, all integrations are live, all data is correctly migrated, all documentation is complete, and the client's GHL environment is fully production-ready
• Provide 60 days of post-go-live GHL support for every onboarding — included in the base price
• Proactively identify and recommend additional GHL features, non-GHL complementary tools, or services that would benefit the client — flag these to our Sales team as upsell opportunities
• Stay current on GHL feature releases and platform updates — proactively suggest upgrades or new configurations to existing clients
________________________________________
💰 Payment Structure — Per Deliverable, No Retainer
100% performance-based. No base retainer. No hourly billing. Payment triggered by completed, verified, and signed-off GHL deliverables only. 60-day support and all documentation are included in all pricing — no separate fees.
________________________________________
Package 1 — GHL Snapshot Package
$150 flat total for 1 to 3 niches — see full details in GHL Snapshot Builds section above
Snapshot Volume Price
1 to 3 GHL niches $150 flat — total, all-in
Each additional set of 1 to 3 GHL niches $150 flat per set
________________________________________
Package 2 — GHL Client Onboarding
$100 flat per client — covers up to 10 GHL features/capabilities, full data migration from up to 2 systems, white-label branding, onboarding steps, full documentation package, and 60-day GHL support. All-in. No additional charges within this package unless features exceed 10.
What Is Included Detail
GHL sub-account creation and white-label branding White-labeled GHL sub-account created, branded, custom domain configured, client access provisioned
GHL onboarding steps Welcome sequence, access setup, client orientation, initial GHL walkthrough
First 10 GHL features/capabilities configured Any 10 GHL features from the approved list — fully configured, tested, and production-ready
Data migration from up to 2 systems into GHL Full import, mapping, and verification of client data from up to 2 existing platforms — contacts, pipelines, tags, notes, and relevant history
Production-ready GHL delivery Every configured GHL feature and migrated dataset live, tested, and confirmed ready for immediate use — not demo or test mode
Full GHL documentation package Client-facing GHL how-to guide, GHL feature configuration reference sheet, GHL migration summary report, and completed GHL go-live checklist
60-day post-go-live GHL support Included — covers GHL questions, minor fixes, configuration adjustments, and issue resolution for 60 days from go-live sign-off date
Maximum of 5 GHL client onboardings per month under this engagement. Scope beyond 5 clients per month must be agreed in writing before work begins.
________________________________________
Additional GHL Features Beyond the First 10
Feature Block Price
First 10 GHL features Included in $100 base — no additional charge
Each additional block of up to 10 GHL features $50 per block
Partial blocks of 1–9 features Count as one full block — $50 applies
Example — 10 features: Client requires exactly 10 GHL features → $100 flat, all-in.
Example — 15 features: Client requires 15 GHL features → first 10 in base $100 + remaining 5 = $50 (partial block) → total = $150.
Example — 25 features: Client requires 25 GHL features → first 10 in base $100 + next 10 = $50 + remaining 5 = $50 → total = $200.
________________________________________
GHL Feature and Capability List — What Counts Toward the 10-Feature Blocks
Each of the following counts as one GHL feature within a block:
# GHL Feature / Capability
1 GHL Pipeline setup and configuration
2 GHL Calendar and appointment scheduling
3 GHL Automated follow-up workflow (email or SMS)
4 GHL Conversation AI / chat widget setup
5 GHL Review request and reputation management automation
6 GHL Missed call text-back setup
7 GHL Email marketing campaign setup
8 GHL SMS marketing campaign setup
9 GHL Membership or course area setup
10 GHL Two-way texting configuration
11 GHL Voicemail drop setup
12 GHL Lead capture form setup
13 GHL Social media auto-posting setup
14 GHL Payment and invoicing integration
15 GHL Booking and reservation system
16 GHL CRM contact import and tagging
17 GHL Third-party integration — each integration counts as one feature (Zapier, Make, Stripe, Twilio, Mailgun, etc.)
18 GHL Reporting and dashboard configuration
19 GHL SaaS Mode configuration
20 GHL Snapshot deployment and customization
21 GHL Google Business Profile integration
22 GHL Facebook Ads Manager integration
23 GHL WhatsApp Business setup
24 GHL AI content or copywriting tool setup
25 GHL Custom domain and SSL setup
________________________________________
Combined Pricing Example
GHL snapshots commissioned for 3 niches at engagement start = $150 flat. Client 1 onboarded — Home Services niche, snapshot deployed, 10 GHL features configured, data migrated from 2 systems = $100. Client 2 — same niche, snapshot deployed, 18 GHL features configured = $100 + $50 = $150. Client 3 — 10 GHL features only = $100. Total earned: $150 (snapshots) + $100 + $150 + $100 = $500.
________________________________________
GHL Completion SLA
Deliverable SLA
GHL sub-account creation and branding 24 hours from handoff receipt
First 10 GHL features configured 48 hours from sub-account creation
Each additional GHL 10-feature block 24 hours per block
GHL data migration (clean data, up to 2 systems) 48 hours from data receipt
GHL data migration (complex or messy data) 72 hours — must be flagged upfront
GHL snapshot build (1–3 niches) 48 hours from brief receipt
All GHL documentation Delivered at go-live — must accompany sign-off submission
Full GHL go-live sign-off submission Within 72 hours of handoff for standard scope
Late delivery penalty: Any GHL deliverable not completed within SLA without prior written notice and agreed extension = $10 deduction per deliverable per day late. More than 3 days late without communication = onboarding may be escalated and reassigned with no payment due.

I own a restoration company in Marietta, GA (relief-remediation.com) and need an experienced GoHighLevel + Meta Ads specialist to build and launch a complete lead generation funnel. The funnel targets family members of hoarders and estate executors dealing with distressed properties through Facebook and Instagram ads.

This is a one-time build and launch project. My GHL account is already set up but essentially empty — you will be building from scratch inside it. I need someone who can handle everything end-to-end: ad creative, copy, campaign setup, funnel build, and automation. I should not need to hire anyone else for this project.

What I need built:

1. Meta Ad Campaign (Facebook + Instagram)
Write ad copy and create or source ad creative (static image or short video) for 2 ad variations to A/B test
Target audience: adults 35–65 in the Atlanta metro area, with interests/behaviors related to estate planning, senior care, home cleanup, distressed properties, and real estate investing
Campaign objective: Lead generation (Meta Lead Ads or traffic to landing page — your recommendation)
Initial budget: $20–30/day — I will scale once it's converting
Set up the campaign inside my Meta Business Manager
Tone must be empathetic and non-judgmental — this is a sensitive topic (hoarding, estate situations). No aggressive sales language.
Two-path messaging: (1) professional cleanup services, (2) we also buy properties as-is


2. Landing Page (inside GHL)
Single-purpose landing page (not my main website)
You write the headline and copy — must match the ad messaging
Mobile-optimized
Lead capture form: Name, Phone, Email, Brief description of situation
Thank you page after form submission


3. Meta Lead Form Integration
Connect GHL to my Meta Business account
Leads from Meta flow directly into GHL CRM automatically
Test the integration end-to-end before handoff


4. AI Lead Qualification — GHL Conversation AI (SMS)
Configure GHL's built-in Conversation AI to fire immediately when a form lead comes in
AI conducts a natural SMS conversation to qualify the lead before I ever get involved
Qualifying questions the AI must ask:

Is this your property or a family member's?
Are you looking for cleanup services, thinking about selling the property, or both?
What city/area is the property located in?
How urgent is the situation?

Based on answers, AI automatically tags the lead (Restoration Lead / Real Estate Lead / Both) and updates the pipeline stage
AI conversation ends with: booking a call, or notifying me directly for hot leads
Qualification script/tone guidelines will be provided by me — empathetic, not salesy


5. AI Lead Qualification — ManyChat (Meta Messenger)
Set up ManyChat AI bot for leads who come in via Click-to-Messenger ads
Bot mirrors the same qualifying conversation as the SMS flow above
Collects: name, phone number, property location, situation type, urgency
Passes all data into GHL CRM automatically with correct tags and pipeline stage
ManyChat free tier is sufficient for this volume


6. SMS Nurture Sequence (5 messages)
For leads who don't immediately respond to the AI qualification
Message content will be provided by me
Automated triggers based on lead source and time delays
Stops automatically when lead replies
Opt-out compliance built in (STOP messaging)


7. CRM Pipeline Setup
Build a simple pipeline in GHL with these stages:
New Lead
Contacted
Assessment Scheduled
Quoted — Restoration
Quoted — Property Purchase
Closed — Restoration Job
Closed — Property Deal
Dead

8. Basic Reporting Dashboard
Simple GHL dashboard showing: new leads this month, leads by stage, conversion rate

What I will provide:
Access to my GHL account
Meta Business Manager access
Brand colors, logo, and website URL for reference
SMS and Messenger bot scripts
Background on the business and target customer


What I need from you:
Ad creative, ad copy, and campaign setup
Landing page copy and build
All GHL technical setup and integrations
Full testing before handoff
30-minute walkthrough call on completion
Brief written instructions for ongoing use


Requirements:
Proven GoHighLevel experience with Meta Lead Ads integration
Ability to write ad copy and create or source ad creative
Experience configuring GHL Conversation AI for lead qualification
Experience with ManyChat AI bots and GHL integration
Experience building SMS automation workflows in GHL
Home services or real estate funnel experience strongly preferred
Fluent English — clear communication throughout
Available for handoff call within 1 week of project completion


Timeline: Completed within 10 days of project start

• Have you built a GHL funnel with Meta Lead Ads integration before? How many?
• Can you write ad copy and create/source ad creative, or do you subcontract that?
• Have you configured GHL Conversation AI for lead qualification? Have you built a ManyChat AI bot?
• Share one example of a similar project (screenshot or link)
• What is your estimated fixed price and timeline for this full scope?

Freelancer Project Brief GoHighLevel AI Chatbot

Rebuild + Gmail & Google Calendar Automation

Timeline 4 days Expert (GoHighLevel)

1. About us & the problem Work window After-hours only — see Section 5 We are an Australian-based property and finance business running our client workflow inside GoHighLevel (GHL). We currently use GHL's native AI bot to handle inbound conversations — and it has started taking on a mind of its own. It does not follow instructions, drifts off-script, and gives inconsistent answers to clients. We need an experienced specialist to rebuild it properly so it behaves predictably and integrates cleanly with the tools we run our business on. Critically, this is a live system we cannot switch off. All work must be planned, staged, and tested without interrupting the running setup.

2. Scope of work

2.1 — Rebuild the chatbot • Replace / rebuild the current conversational AI so it stays tightly on-script — no improvising, no wandering off-topic. • Tone must be casual and approachable, but high-quality and professional — it should sound like a polished member of our team. • Consistent, reliable answers to the questions our clients actually ask.

2.2 — Human-like handling & staff hand-off • A staff member monitors all conversations at all times. The bot must hand off cleanly to a human when needed. • If a contact asks whether they are talking to a bot or AI, it should gracefully redirect the conversation toward our team rather than derail — without making any false or misleading claims.

2.3 — Gmail integration • We run everything through Gmail. The system must read from and act on Gmail as part of the workflow. • It must speak to our existing tools end-to-end — no manual copy-paste between systems.

2.4 — Google Calendar integration • Bookings and appointments must replicate automatically into our Google Calendar. • No manual re-entry; what gets booked should appear correctly in the calendar.

2.5 — Timezone intelligence (critical) • We are Australian-based and operate across a 3–4 hour time difference with the clients we serve. • We deliberately call clients outside standard work hours, so accurate timezone handling is essential. • The system must correctly normalise and convert timezones so every appointment lands at the right local time for both us and the client — with zero manual fixing.

3. Deliverables • A rebuilt, on-script GHL AI chatbot with controlled tone and reliable answers.• Clean human hand-off behaviour and a graceful response to 'are you a bot?' questions. • Working Gmail integration wired into the workflow. • Working Google Calendar sync for all bookings/appointments. • Verified timezone normalisation across AU and the 3–4 hr offset region. • A short written summary of what was changed and how to maintain it.

4. Required experience • Proven GoHighLevel build experience (please share examples). • Strong skill in AI prompt design / conversational flow control inside GHL. • Hands-on Gmail and Google Calendar integration experience. • Demonstrated comfort with timezone logic and Australian business hours.

5. Work window & rollout rules — please read carefully Because our system runs live and cannot be taken offline, all work must be performed after hours. Any change — however small — must be planned in advance and executed only within the approved window: Approved work window Duration Method Testing 8:00 PM – 5:00 AM (Australian time), nightly Across 4 consecutive days / nights Small, planned changes — staged step by step, never bulk edits to the live bot Each step tested and confirmed working before moving to the next In short: plan the change → make it in the window → test it → confirm it's stable → only then move on. Nothing that risks live client conversations during the day.

6. Please answer when you apply • Have you tamed a misbehaving GHL native AI bot before? What did you change? • How do you handle timezone normalisation between AU and a 3–4 hr offset region in GHL → Google Calendar? • Can you deliver across 4 nights, working only within the 8 PM – 5 AM AU window, without taking our live system offline

I need a program/process built that takes scans/photos of First Day Covers to be put into AI for descriptions, and auto added to my Shopify store. The solution should handle image processing and integrate seamlessly with Shopify to ensure efficient and accurate product listing.

• Do you have experience automating work flows with AI product descriptions into Shopify store?

I need outbound calling bot to call company to make register and will be calling ai to so its just put details thats all

Skills: Audio Services, Telemarketing, Music, Voice Talent, AI Text-to-speech, AI Model Development, AI Mobile App Development, AI Development, AI Agents

We are a web development firm looking to add a stellar developer to the mix. We need to fix Php and crashing wordpress sites on Microsoft azure.

You will be working on small to mid sized projects, mainly websites based on wordpress and hosted on azure and Linux platforms.

We have a Wordpress sites hosted on azure server that are not stable. We need to optimize the site load and configure cloudflare to stop AI bots.

Note please read to the end to ensure this is the right fit for you.

A big focus is creating fast websites that work and load quickly.

This position will involve creating scrips with Php and customizing Wordpress.



We are remotely located so location is not an option, US based is required. Yes we check for a VPN.

Ideally You will:
be an individual, not a 3rd party outsourcer

be ready to work on deadlines as well as have flexible time
be a hardcore web developer/programmer
understand usability & conversion elements
Understand Php and Wordpress hosted in the cloud

The ideal candidate will NOT,
try to upsell SEO/marketing/programming/data entry.
. Please carefully read these specifications before applying.

Thank you for taking the time to thoughtfully apply, we look forward to connecting with the right person.

---
Skills:

Debug Wordpress problems
Diagnose and Fix server config
Server configuration and optimization for speed and Stability

Please write a short 3 line haiku about yourself.

# AI-Native Software Engineer — Claude Code Power User (Agentic Workflows, MCP, Sub-Agents)

QUALIFIED CANDIDATES ONLY
**You don't "use AI to code." Claude Code is where you work.** We're hiring an engineer for whom agentic, terminal-first development is the default — not a tool retrofitted onto an autocomplete habit. If you have to think about whether you're AI-native, this isn't the role for you. If reading that sentence made you nod, keep going.

---

## About the work

blueberry is a decision-intelligence platform used by private-equity firms and high-growth companies to evaluate talent and make faster, better-supported decisions. We're in beta and moving fast — speed to market is the governing priority this year.

The product runs on Claude as its analytical engine, wrapped in strict methodology: defined reasoning rules, a controlled voice, and hard never-say constraints. Your job is to build and harden the system that enforces all of that in production — faithfully, and without drift.

This is genuinely interesting engineering. The methodology is owned by a non-technical authority who defines the rules, the voice, and the judgment calls. You translate that into a system that behaves correctly every time — not one that "usually behaves because the model is pretty good." If "you can't really enforce it, you just have to trust the model" is your instinct, we're not a fit. The entire challenge is *not* trusting the model with high-stakes constraints.

## What you'll actually do

- Build and maintain the agentic pipelines that power the product (intake → calibration → extraction → evaluation → synthesis → output).
- Enforce methodology, voice rules, and never-say lists at the system level — system prompts, skills, structured-output validation, post-processing checks, eval harnesses, and hooks. Defense in depth, not a single brittle prompt.
- Stand up and maintain eval harnesses that catch methodology drift before it ships.
- Decide where logic belongs — what goes in prompts vs. skills vs. MCP servers vs. code — and defend the tradeoffs.
- Keep a non-technical methodology owner in the loop with tooling that lets them inspect and validate what the model is actually doing.

## What "AI-native" means here (read this before applying)

We will be able to tell within a few minutes of talking to you whether this is real. Here's what we mean:

- **Claude Code is your environment**, not one tab among many. You operate from the terminal and agentic workflows, not a chat window where you paste one prompt at a time and copy the result somewhere else to "actually run it."
- **You live in your CLAUDE.md.** You can describe a real one off the top of your head — its sections, roughly how long it is, how it evolved, and a specific rule you added because you caught Claude getting the same thing wrong repeatedly.
- **Sub-agents and multi-step workflows are normal for you.** You've hit the failure modes — context bleed, conflicting instructions, sub-agent loops, permission collisions — and you can tell the story of how you fixed one.
- **You know MCP cold**, ideally including building at least one server. And you can cleanly explain the difference between an MCP server (new capabilities/connections) and a skill (procedural knowledge), and when to reach for each.
- **You manage context deliberately** across long sessions — plan mode, `/clear` on task switches, sub-agents for isolated work, summaries to disk, hooks. Not "I just start a new chat."
- **You catch the model being confidently wrong through structure**, not luck — verification steps, tests you always run, a check against the real codebase, a CLAUDE.md rule you update afterward.

## You're probably a fit if

- You're a strong software engineer first — solid fundamentals you built *before* going AI-native — and you've genuinely shifted how you work since.
- You have opinions about AI-assisted engineering that some of your peers would argue with, and you can defend them.
- You think in layers and tradeoffs when asked where to put logic, and you ask clarifying questions instead of assuming.
- You can take rules defined by a non-technical owner and encode them faithfully — you treat the methodology as the source of truth, not something to override on your own authority.

## You're not a fit if

- You'd copy code out of Claude Code into Cursor or VS Code to "actually run it," "clean it up," or "make sure it works."
- You think all AI tools are basically the same, or you'd rather just use Cursor.
- Your workflow is sequential and chat-style: one prompt, one answer, copy, repeat.
- You want autonomy over methodology decisions. (The engineer encodes the methodology; they don't redefine it.)
- You've "never really run into" the model being wrong. That tells us you're not paying attention or not working on hard enough problems.

## How to apply

Skip the generic proposal — we read past those instantly, and a templated pitch is an automatic pass for this role specifically.

Instead, include these three things:

1. **A link to a real repo (public or private) where you use Claude Code, including your CLAUDE.md.** Two or three sentences on how that CLAUDE.md got to its current state.
2. **One specific story:** a sub-agent or multi-step workflow you built, what broke first, and how you fixed it. Concrete failure mode, concrete fix.
3. **Your take on one architecture question:** for a product where the model must never use certain words and must always follow specific reasoning rules, where would you enforce that — and why isn't a single layer enough?

Strong candidates move to a short voice screen, then a live working session with our team. We make no promises on outcome, rate, or timeline until then.

---

Summary
Overview:
We are hiring a contractor to build an AI-powered document audit system that ensures every client and caregiver folder is fully compliant.


Goal:
Instantly identify missing, expired, or incorrect documents across all files. This must be built for real-world compliance use, not a prototype.


Scope of Work:
1. Folder Audit System (Primary)
• Scan Google Drive folders
• Detect required documents

Flag:
• Missing documents
• Expired documents
• Incorrect/mislabeled files


2. Folder Structure + Naming Standardization (Critical)

• Create scalable folder structure
• Define naming conventions
• Ensure AI can reliably identify documents


3. Audit Output (Phase 1: Google Sheets)

• Build a clear audit system showing:
• Client/caregiver name
• Folder link
• Missing documents
• Expired documents
• Status (Complete / Incomplete)



4. Automation + Monitoring
• Trigger audits when files are added
• Flag upcoming expirations
• Enable repeatable audits


5. Documentation + Training (Required)
• SOP documentation
• Loom videos:
• System overview
• Running audits
• Fixing issues
• 2–3 live training sessions

Project is not complete until our team can independently operate the system.


Requirements (Non-Negotiable):
• Proven experience building document audit/compliance systems
• Experience with Google Drive APIs
• Experience with automation tools (Zapier, Make, or similar)


Do NOT Apply If:
• You have not built a similar system
• You are experimenting with AI
• You cannot show real examples

Compensation:
$3,000 – $5,000 fixed (based on experience)


Timeline:
• 2–4 weeks | Immediate start

Milestones:
Week 1: Folder structure + naming system + audit logic defined
Week 2–3: System build + Google Drive integration
Week 3–4: Testing, validation, and refinement

To Apply:
• 2–3 relevant systems you’ve built
• Brief explanation
• Loom/demo (preferred)

Only applications with proof of work will be reviewed.

We run a home services company (HVAC and plumbing) across three markets and our phone operations are a bottleneck. We are getting 80 to 120 inbound calls a day and our CSRs are spending most of their time on routine booking and dispatching calls that an AI agent could handle. At the same time we want to launch an outbound campaign to re-engage past customers with service reminders.

We need someone to build both systems end to end, not hand us a prototype.

What we need built:

- Inbound agent that handles new booking requests, rescheduling, and cancellations. Checks technician availability in real time and confirms the appointment before ending the call. Hands off to a human when the situation requires it.
- Outbound campaign agent that calls past customers from a contact list, delivers a seasonal maintenance reminder, and books them if they're interested
- Full integration with our CRM (GoHighLevel) — contacts updated, pipeline stages moved, follow-up sequences triggered automatically based on call outcome
- Post-call summaries and call recordings routed to the right place

We are open on platform. We have looked at Retell AI and VAPI. If you have a strong opinion based on our use case, we want to hear it.

This is a build project with a real budget. We are not looking for a freelancer who will configure a demo and disappear. We need someone who has shipped voice agents that handle real call volume in production.

Please answer the following questions in your application:

1. Have you shipped an autonomous voice agent to production? What platform did you use, what did the agent handle, and what were the results?
2. How would you approach the CRM integration — specifically, how does a call outcome in the voice agent translate into a pipeline action in GoHighLevel?
3. VAPI or Retell for our use case — which would you choose and why?

Job Description:

We are a rapidly scaling AI Automation Agency (AAA) servicing clients in the US, UK, and Europe. We help businesses eliminate manual work, optimize their workflows, and scale their operations by building custom end-to-end AI solutions.

We are looking for a brilliant, versatile AI Automation Developer / Software Engineer to join our team for a long-term partnership. We want a reliable technical partner to whom we can pass client projects on a continuous basis.

What you will be building (Examples of our services):

Intelligent Workflow Automation: Building advanced multi-step automations using Make.com, n8n, or custom Python/Node.js scripts.

AI Assistants & Multi-Agent Workflows: Creating internal AI tools, custom RAG (Retrieval-Augmented Generation) knowledge bases, and multi-agent setups (e.g., CrewAI, LangGraph, Relevance AI).

CRM & ERP Integrations: Connecting AI models (OpenAI, Anthropic) seamlessly with client software ecosystems (HubSpot, Salesforce, GoHighLevel, Monday.com) via custom webhooks and APIs.

Conversational AI: Deploying both text-based AI chat solutions (WhatsApp/Web) and voice-based AI agents (Vapi/Retell AI) where needed.

Data & Document Processing: Automating unstructured data extraction (PDF invoices, emails, receipts) using AI parsing tools.

Requirements:

Deep, proven experience with Make.com and/or n8n.

Strong coding fundamentals (Python/JavaScript) to handle custom API requests and webhooks when no-code tools hit their limit.

Expertise in Prompt Engineering, structuring clean JSON payloads, and working with vector databases for custom data retention.

Ability to think like a solution architect, not just a task-follower.

Fluent English and good communication skills.

How to Apply:
Please answer the following screening questions in your application:

What are the top 2 AI automation solutions you have built recently that are most in-demand by businesses right now, and why do clients love them?

Briefly describe the most complex API/AI integration workflow you have personally deployed.

Let’s build something massive together. Looking forward to your application!

Prices for this scope of work are negotiable, hourly or per project, what you prefer.

Summary: We are seeking an AI Engineer (not an HR recruiter) to act as a Technical Interviewer & Evaluator. You will not build software; you will validate the skills of AI candidates applying to us, with a heavy focus on Agentic AI and the Hermes AI Agent framework.

Your Mission: To separate real engineers from resume inflaters. You will use the technical scorecards, rubrics, and Hermes checklists we provide to conduct deep technical interviews.

Must-Have (Reply with a specific word to prove you read this):

Hands-on coding experience with Agentic AI (CrewAI, AutoGen, or LangGraph).

Experience with Hermes AI Agent (installation, orchestration, or deployment) .

Technical Interviewing experience (you have debunked a candidate's exaggerated claims before).

You own a working Hermes setup you can demonstrate.

To apply, start your proposal with the word "EvaluatorReady" or I will not read it.