Vollna filters narrow jobs by budget, client rating, location, and more. AI Job Qualifier reads the full posting, checks it against your rules, and explains why a job fits or does not fit before you spend connects.
Vollna's 30+ job filters handle budget ranges, client quality, location, and more. AI Job Qualifier reads the full post, so you can judge fit, scope, and red flags that do not show up in filter fields.
Filters work well on structured fields. The gap is in the actual posting.
Budget, client rating, spend, hire rate, and location are exactly where filters work best. They can also match keywords in the posting, but they cannot tell what those words mean in context.
Exclude "WordPress" and you may miss a $12K Next.js migration where the client only mentioned their legacy site. A keyword alone cannot tell you whether the word is the deliverable or the problem being solved.
"Commission-only," "equity instead of pay," agencies hiring subcontractors, or vague one-sentence posts usually show up in the copy, not in filter fields.
A real SaaS build and a quick fix can share similar tags and budget ranges. The description is what tells you how serious, clear, and complex the project really is.
Job Qualifier reads the title, description, skills, client questions, budget, and client history against your rules.
It reads the posting and checks whether the work actually matches your expertise, not just whether a keyword appears in the title or tags.
"WordPress to Next.js migration" is a Next.js job. "We'll handle coding, need UX only" is a design job. The qualifier looks at meaning, not just matching words.
It catches "commission-only," "equity instead of pay," agencies looking for subcontractors, vague one-liners, and unrealistic scope before connects are spent.
It separates a real build from a quick fix, a greenfield project from legacy maintenance, and a serious engagement from a "message me for details" post.
How It Works
Tell Vollna what matters in plain language: minimum budgets, required skills, client quality thresholds, location rules, scope requirements, and deal-breakers. From a simple one-liner like "only dev jobs with verified clients" to a detailed ICP with scoring rules, the qualifier follows your instructions.
When a new job passes your filters, Job Qualifier reads the full posting, including the description, skills, client questions, budget, and client history. It then produces a score with clear reasoning. Jobs that do not meet your threshold can be skipped automatically, saving connects.
Review qualification decisions, adjust your criteria, and keep sharpening the signal. See which jobs get qualified, which get rejected, and how your connect spend changes month over month.
Ready to spend connects on better-fit jobs?
Real scenarios showing how Job Qualifier works with your filters to read context, check fit, enforce budget rules, and catch red flags in the full posting.
You work with Next.js and exclude "WordPress." But this $12K project needs a developer to rebuild their WordPress site in Next.js with a headless CMS. WordPress is the problem, not the deliverable.
"WordPress mentioned as legacy source. Core deliverable is Next.js migration with headless CMS — perfect match for your stack."
Title and tags say "React." But reading the description reveals they want someone to manage a team of developers, run standups, and report to stakeholders. It is a PM role tagged as dev. Filters pass it, but the qualifier catches the mismatch.
"Despite React tags, the actual deliverable is project management and team coordination — not hands-on development. Doesn't match developer skillset."
Budget and skills match, but the description reveals it is an agency hiring a subcontractor for their clients. Your prompt says "skip agencies recruiting subcontractors" and the qualifier catches that by reading the text.
"Client is an agency hiring white-label subcontractors. Description says 'manage multiple client accounts.' Matches your exclusion rule for agency intermediaries."
Everything you need to review the full posting, qualify jobs with confidence, and spend connects only on projects that match.
Write your criteria in plain English, from a one-liner like "only dev jobs" to a detailed ICP with scoring rules, budget thresholds, and industry filters. The qualifier applies those rules across every matching job.
Goes beyond keyword tags to evaluate whether the project actually requires your expertise. A job tagged "React" that's really a project manager role gets caught. So does a design job buried in a dev-tagged post.
Distinguishes real projects from quick fixes, greenfield builds from legacy maintenance, and well-scoped engagements from vague "message me for details" posts — even when budgets and tags look similar.
Reads the full posting to understand intent, not just keywords. "WordPress to Next.js migration" is a Next.js job. "We'll handle coding, need UX only" is a design job.
Automatically catches commission-only pay, equity-only offers, on-site requirements, non-English language demands, agencies hiring subcontractors, and vague "message me for details" posts.
Works seamlessly with Vollna Auto Bidding. Jobs that pass qualification automatically get personalized proposals. Jobs that don't are skipped without spending connects.
fewer wasted connects
By filtering out bad-fit jobs before proposals are sent, agencies save hundreds of connects every month.
qualification accuracy
Job Qualifier identifies project fit from the full post, well beyond what keyword matching can catch.
higher reply rate
When you only apply to well-matched projects, your proposals resonate more — leading to significantly more client responses.
FAQ
Filters work well on structured fields like budget, client spend, payment verification, hire rate, and location. They can also match keywords in the posting. Job Qualifier goes further by interpreting what the client actually means.
For example, you can tell it: "Only qualify clients with verified payment and $1K+ spent. Skip jobs under $500. Skip on-site, non-English, or commission-only gigs. If WordPress is mentioned, check if it's the migration source or deliverable." The qualifier applies those rules to every matching job.
Users write everything from one-liners like "if dev job for PHP — qualify" to detailed ICPs with scoring rules, budget thresholds, client quality checks, and industry-specific criteria.
It reads the full job context Vollna has for a posting, including the title, description, skills, client questions, budget, client details, and relevant client work history.
Skill Fit from Descriptions
Evaluates whether the project's actual deliverables match your expertise — not just whether a keyword appears. A job tagged "React" that's really a PM role gets caught.
Context & Intent
"WordPress to Next.js migration" is a Next.js job. "We'll handle coding, need UX only" is a design job. The qualifier reads meaning, not just words.
Red Flags in Text
Catches commission-only pay, agencies hiring subcontractors, unrealistic scope, vague one-liners, and other red flags that only exist in the description text.
Your Custom Logic
Any additional rules you write in your prompt, including industry-specific criteria, scoring systems, deal-breakers, or nuance that cannot be expressed as a checkbox filter.
You write a plain-language qualification prompt that describes what makes a good job for you. It can be as simple or detailed as you want:
"We are a React/Next.js agency. Skip anything that's primarily WordPress or PHP maintenance. If WordPress is mentioned, check if it's a migration source or the deliverable. Skip agencies hiring subcontractors. Skip vague one-sentence descriptions. Skip commission-only gigs."
Some users write one-liners like "if dev job for PHP — qualify." Others write detailed ICPs with scoring systems, industry filters, and edge-case handling. The qualifier works with whatever level of detail you provide.
Job filters and Job Qualifier work together: filters handle structured data like budget, client spend, and location, while the qualifier handles everything that requires reading the post.
Every qualification includes detailed reasoning, so you can see exactly why a decision was made. If you disagree, you can:
1. Review the reasoning to understand the qualifier's logic
2. Adjust your qualification prompt to add missing nuance
3. Change your score threshold to be more or less strict
Over time, as you refine your criteria, qualification accuracy improves. Most agencies reach 90%+ accuracy within the first two weeks.
Book a 15-minute demo and see how AI Job Qualifier reads the full posting, checks it against your rules, and helps you focus connects on projects that actually match.
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