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Linden
Validate AI Outputs Before They Reach Your Application
12 followers
Validate AI Outputs Before They Reach Your Application
12 followers
LLMs can generate malformed JSON, missing fields, schema violations, and inconsistent outputs that break production applications. Linden is an AI reliability layer that validates structured AI responses before they reach your system. Define schemas and business rules, then receive clear validation decisions: ALLOW, WARN, REGENERATE, or BLOCK. Integrate in minutes using our API and Python SDK.
Took it for a spin on some flaky outputs from our local LLM and the WARN and REGENERATE hooks made it way easier to debug. Setup was honestly under ten minutes with the Python SDK.
@smet0b2o Thanks, İsmet! Glad to hear the WARN and REGENERATE flows helped with debugging flaky outputs — that’s exactly the problem we’re trying to solve.
I’d love to learn more about your use case. Are you currently using this kind of validation layer in a production workflow, or was this more exploratory testing? Also, if Linden became something you relied on regularly, what would you need it to have for it to be valuable enough to pay for?