A lightweight experience layer for LLM workflows. Engramm learns from your model's mistakes to shape future prompts, without fine-tuning or complex pipelines.

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Works seamlessly with GPT-4, Claude, Llama, or any LLM in your stack.
Builds a structured memory of failures and corrections for your model.
Designed for simple setup. No complex RLHF pipelines required.
Injects scoped, contextual feedback into system prompts.
Reliable, performant, and designed for high-scale applications.
Your application quietly gets better over time as data arrives.
A seamless four-step process that revolutionizes the way your team works
Connect your LLM outputs to future feedback, ground-truth, or corrections.

Engramm identifies key failure patterns and generates targeted contextual hints.

Hints are automatically injected into the system prompt of future calls.

Your model gradually stops repeating mistakes, with zero manual prompting.

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For high-volume production applications.
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Start using Engramm today and build an operational memory for your models.