Botclipse independently tests the AI on your website across six failure categories, freezes a known-good baseline, then keeps re-testing. You find out when your bot goes wrong before your customers do.
You launched an AI assistant, watched a few demo conversations, and moved on. Since then it has had thousands of conversations you have never read. They were with real customers, about real money. Most of them were probably fine. The ones that weren't are the problem.
Actual price: $290 per seat. The bot quoted a number it half-remembered from an old pricing page. Now you either eat the difference or start the relationship with an argument.
You have no 90-day refund policy. The bot invented a customer-friendly one because it sounded right. In many places, a promise made by your bot is a promise made by you.
Internal plumbing, shown to a customer. It leaks your architecture, destroys trust in thirty seconds, and never once offers to connect them to a human being.
The worst part isn't that it happens. It's that you don't find out. There's no error log for "confidently wrong." A bot that fails politely looks exactly like a bot that works.
We talk to your live bot the way a difficult customer would, testing it adversarially, repeatedly, and from the outside. Every scan is graded against the same six categories, so you get a score you can actually track.
Does it quote your real prices, hours, policies and product facts, or a confident approximation of them?
Seen in the wild: a shopper asks the price and the bot quotes a figure from an old page; they book at the wrong rate and blame you.
Botclipse catches it: we probe your real prices, hours and policies and flag any answer that doesn't match, with the exact quote.
Does it invent features, policies, discounts or partnerships that don't exist when it doesn't know the answer?
Seen in the wild: it invents a “full refund within 90 days, no questions asked” policy you never had. A promise your bot makes can legally bind you.
Botclipse catches it: we flag fabricated features, discounts and policies before a single customer relies on one.
Does it stay in its lane, or wander into legal, medical, financial or competitor territory it has no business in?
Seen in the wild: it hands out medical or tax advice, or offers a discount no one authorized.
Botclipse catches it: we test that it stays in its lane and refuses legal, medical, financial and unauthorized promises.
When it books, cancels, refunds or changes something, does the right thing actually happen, and only that thing?
Seen in the wild: it tells a customer their order was cancelled or refunded, but nothing actually happened in your system.
Botclipse catches it: we verify the real action matches the words, and that it won't perform actions it isn't allowed to.
When a customer is confused, angry, or asking something serious, does it hand over to a human, or keep talking?
Seen in the wild: an upset customer asks three times for a human; the bot just keeps looping the same FAQ.
Botclipse catches it: we check it escalates to a person at the right moment, instead of trapping frustrated customers.
Can it be nudged into revealing internal prompts, system errors, other customers' details or private context?
Seen in the wild: a few clever prompts and it reveals its hidden system instructions, or another customer's order details.
Botclipse catches it: we probe for leaks of internal prompts, error internals and other users' private data.
A single audit tells you where you stand today. Drift detection tells you the day that changes.
You send us the URL and a short brief on what the bot is supposed to do. We run hundreds of adversarial conversations against it from the outside, exactly like a customer would.
You get a Reliability Scorecard with a score per category and every flagged transcript. Once you've fixed what matters, that state becomes your baseline, the version of your bot you've signed off on.
We re-run the suite on a schedule. Anything that pushes your bot below baseline triggers an alert with the exact conversations that regressed, whether that's a model update, a prompt tweak or a new knowledge-base article.
One page your whole team can read: what passed, what failed, the exact conversations that broke, and whether you're getting better or quietly getting worse.
Overall score across all six categories
9 points below baseline (91)Asked about cancelling after two months, the assistant offered a "full 90-day refund, no questions asked." No such policy appears in the provided source material.
"No problem at all. We offer a full refund any time within the first 90 days."Across 9 of 14 escalation probes, a frustrated customer asking to "speak to a person" was answered with another automated attempt to resolve the issue. No handoff path was offered.
"I can definitely help with that myself. Let's try one more thing first!"When asked whether a purchase would be tax-deductible, the assistant gave a definitive answer instead of declining and directing the customer to a qualified professional.
"Yes, you'll be able to write that off in full this financial year."Drift alert: reliability fell below your frozen baseline on scan #0408. Hallucination and escalation regressed together, consistent with an underlying model or prompt change. 6 transcripts attached that passed at baseline and fail now. Sent to 3 recipients · Jun 12, 09:14
Illustrative example. All names, scores, findings and dates shown are invented for demonstration.
There are excellent developer platforms for evaluating models you're building. Botclipse is for the far more common situation: a bot that's already live, that nobody owns, and that nobody is grading.
Self-evaluation inherits every blind spot of the system it's testing. Botclipse comes at your assistant from the outside, with no access to your prompts, no shared assumptions and no incentive to be kind. The same posture an auditor takes to a balance sheet.
Human QA means a handful of scripted chats, a spreadsheet, and a bill that grows with every re-test. Botclipse runs a full adversarial suite in hours, which is what makes running it again next month affordable.
Your bot doesn't break with an error page. A model gets updated, someone edits a prompt, a stale doc gets indexed, and it degrades in silence. Continuous drift detection compares every scan to your frozen baseline and tells you the week it starts slipping.
No SDK, no API keys, no integration, no engineer. If you can point us at the page where your chatbot lives and tell us what it's meant to do, you're set up. The output is a report a non-technical owner can act on.
You put a chatbot on your site because it was fast and cheap. You don't have an ML team, an evals budget, or a spare engineer to wire up a testing platform. You still need to know it isn't costing you customers.
Send us the URL and a sentence about what your bot is meant to do. We'll run an independent scan and send back a scorecard across all six failure categories, including the transcripts of anything we break.
Takes about two minutes. Open the request form
No integration, no credentials, no commitment. We test from the outside, like any customer would.
