Reputable.bot
Independent testing to ensure bots perform.
Define performance. Measure it. Manage it.
One Testing Framework. Two application areas.
Chatbots serve people. Reputable bots serve people well.
Safety & Liability Testing
(focuses on general purpose, public bots)
Used by
Model developers, insurers, regulators and litigation firms.
Answers
Whether the bot is safe or is giving rise to liabilities.
What we do
We provide structured, large-scale testing of AI systems using defined behavioural profiles and adversarial prompts.
This includes analysis of persona-sensitive responses — how systems respond to different psychological profiles and vulnerable user types.
Testing is documented, reproducible, and designed for legal scrutiny.
Output
Audit-grade reports with quantified behavioural patterns and failure rates.
Performance & Representation Testing
(focuses on specific-purpose bots)
Used by
Companies operating service bots, enterprises assessing exposure, insurers and underwriting AI services.
Answers
Whether the bot is performing its task well – whatever that task may be.
What we do
We test service bots against structured scenario sets to evaluate contractual performance, policy adherence, and public representations — at scale.
We measure reliability, escalation behaviour, and misrepresentation frequency across repeated interactions.
Output
Reproducible execution logs and quantified outcome distributions to underpin operational certainty.
How it works
We use a system of Personas to drive bot tests. Each persona represents a person who wants to do something.
We have confused bots, angry bots, anxious bots...all trying to do something. Choose what best represents the usage scenario. Choose multiple personas, if you like. After all, each persona represents an individual user's psychology.
Alternatively, design your own, using our tools.
It's as easy as this:
- 1Select a Persona (e.g. "Angry Customer")
- 2Point Reputable to your chatbot URL
- 3Get a detailed analysis of safety & interaction quality
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