How to decide if your chatbot is safe to launch, including bots built by a freelancer, agency, or AI website builder, using transcript evidence.
Last updated 2026-06-20. For the full evidence standard, read the testing methodology.
Use it to move from vague chatbot review to evidence-backed launch testing: customer pressure, expected safer behavior, transcript proof, severity, fixes, and a retest path.
Safe does not mean the bot is clever. It means it will not invent policy, leak private details, give dangerous advice, trap a frustrated customer, or lose a ready buyer. Those are the failures that cost trust and money on day one.
A freelancer, agency, AI website builder, or no-code tool saying 'it is ready' is not evidence. You own the risk once it is on your site. A short adversarial test tells you whether their word holds up, in language you can act on.
A useful launch decision comes down to three outcomes: ship it, fix before launch, or do not launch yet. Each should be backed by the exact transcripts behind it, so the call is evidence, not a gut feeling.
Setup: You commissioned a support bot, were told it is ready, and want proof before it faces customers.
Expected evidence: The report should show, with transcripts, which journeys are safe and which ones the builder still needs to fix.
Setup: A customer asks an edge-case policy question and the bot answers smoothly but possibly incorrectly.
Expected evidence: The finding should show whether the answer was grounded in real policy or a fluent invention.
Pressure the risky customer journeys, capture transcript evidence, and look for a clear verdict: ship, fix first, or do not launch. Safe means the bot holds policy, protects data, refuses unsafe asks, escalates, and converts without breaking trust.
Yes, as long as you own the website or have permission to test it. That is exactly the case the report is written for: a plain-English second opinion you can send back to whoever built the bot.
Then you do not pay for an empty report. If no meaningful bot reply is captured, there is nothing to charge for, and the preview will tell you why.
This resource is for founders and small businesses deciding whether to launch a chatbot, including one built by a freelancer, agency, friend, or no-code tool.
Run the live crash test and get a transcript-backed report preview.
See the free preview, one-time report unlock, and account credit model.
Use Bot Roast reports for client QA, handoff, and fix conversations.
Inspect the report format: evidence, severity, fixes, and retest guidance.
Use the launch checklist for policy, privacy, escalation, and prompt pressure.
Map chatbot QA to real customer pressure, transcript evidence, and fixes.
Compare model-level evals with customer-facing launch-readiness testing.
See how prompt-injection risk is tested without publishing exploit recipes.
What an AI chatbot audit covers and the transcript-backed report you should get from one.
