Decision
A clear allow, review, or block outcome for release handling.
About Taplid
A product for teams shipping AI output with less risk.
Taplid evaluates AI output and returns three things developers need fast: a decision, a trust score, and actionable issues. The goal is simple: help teams know when an answer is ready, when it needs review, and when it should not ship.
Deterministic auditDecision support, not truth claimsNo training on your data
Who this is for
Taplid is built for developers and product teams that rely on LLM output in customer, support, compliance, and internal workflow surfaces where bad answers create real consequences.
What users get from an audit
Trust score
A user-facing reliability signal to prioritize review effort.
Actionable issues
Concrete problems and next steps for safer release decisions.
How Taplid works
Taplid analyzes response reliability and support quality, then flags weak or risky output for review. It is a decision-support layer for AI output quality, not a promise that any model answer is absolutely true.
Why Taplid exists
In more advanced AI systems, prompts and orchestration flows quickly become complex. Even when a system looked good on the surface, it was not always obvious when a weak answer or hallucination had slipped through. We built Taplid to give teams a clearer audit signal - whether a response is ready, needs review, or should not be used.
FastCleanDeveloper-firstBuilt for production