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Sunday, July 19, 2026

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AI/MLB2B SaaS

An API wrapper that adds a calibrated confidence score to any LLM response and can be set to automatically reply ‘I don’t know’ when the score falls below a customer-defined threshold. Built on fine-tuned calibration layers, it prevents AI hallucinations in high-stakes domains like legal advice, clinical triage, and financial planning. Users previously had to manually test prompt after prompt; now the model itself signals uncertainty before it misleads.

Target Audience

Developers of legal-tech chatbots, insurance Q&A products, or medical symptom checkers who have witnessed a hallucination reach an end customer and now face legal liability or reputational damage.

Why Now

Dev.to featured ‘A Vibe Is Not a Verdict: I Built a Tool That's Allowed to Say I Don't Know’ and ‘Building an AI Agent That Knows When Not to Guess (Qwen + MCP)’ — both from builders who recognized hallucination as a primary failure mode. No Product Hunt launch this week offered a dedicated, model-agnostic confidence calibration service, leaving a gap for a plug-and-play safety net.

Export to .md with a startup plan — implementation, monetization, first customers.

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