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Paste a prompt into your connected app and change the names to yours.

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Find why proposals get no replies

What it does: finds the funnel stage where your proposals stop and ranks the causes by replies lost. Tools used: diagnose_reply_rate, get_proposal_funnel Prompt:
What to expect: the stage where proposals stop, the share of jobs where the client hired nobody, and each cause with the replies it cost. Nothing changes.

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Clean up a noisy filter

What it does: finds jobs that don’t fit, explains why each matched, and tests one criteria change before saving it. Tools used: get_filter_jobs, explain_job_in_filter, preview_filter_changes, update_filter Prompt:
What to expect: the jobs that don’t fit, the keyword or setting that let each in, and how many jobs the filter matches before and after the change over 30 days. The filter changes only when you ask the app to save.
Every job the app reads uses one project credit, the first time in a usage period.

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Test a qualifier prompt before you save it

What it does: runs a new qualifier prompt on past jobs without saving it, and shows which verdicts flip. Tools used: replay_qualifier_prompt, save_filter_qualifier_prompt Prompt:
What to expect: each job with its old and new verdict, and a count of flips. When it looks right, say “Save it”. The app asks you first when other filters share the qualifier.
A replay spends AI qualifier credits, one per job.

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Find a niche worth bidding on

What it does: compares competition, rates and demand between niches. Tools used: get_market_insights, get_niche_difficulty, get_keyword_opportunities Prompt:
What to expect: applicants per job, interview and hire rates, a difficulty score from 0 to 100, and the keywords freelancers in each niche track. Nothing changes. Each of these reads has a daily cap.

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Improve a proposal template

What it does: finds your weakest template, compares its best and worst letters, and tests one change on real jobs. Tools used: get_template_stats, get_template_report, preview_proposal, update_proposal_template Prompt:
What to expect: replies per template, what the replied letters do that the ignored ones don’t, and two test letters with the change. The template changes only when you ask. The app asks you first when an active auto-bidding setup sends with it.
Each test letter uses one from your AI proposal preview quota.

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Check auto-bidding

What it does: shows what stops each setup from bidding and where connects went. Tools used: autobidding_status, autobidding_list_setups, autobidding_analytics Prompt:
What to expect: each setup with what blocks it, and connects spent per setup. Nothing changes. Pausing or activating a setup always asks you first.

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Weekly summary

What it does: sums up the last 7 days across filters, proposals and auto-bidding. Tools used: list_filters, get_proposal_funnel, autobidding_analytics Prompt:
What to expect: a table of the week and the changes the app suggests. Nothing changes until you ask.