Blog · Technology
Groq and LLM Integration
Writing from Sawhorse Engineering on groq and llm integration.
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- 23 September 2026How to tell whether a task is an AI problemFour questions that separate work worth evaluating with a model from work that belongs in ordinary code.
- 21 September 2026Retrieval over your own documents: what decides qualityMost retrieval systems fail on chunking, metadata and permissions rather than on the model. What to get right before choosing anything else.
- 16 September 2026Guardrails for AI agents that take real actionsAn agent with tools can change your data. The controls that matter are enforced in code, not requested in a prompt.
- 12 September 2026Private and on device models: when they make senseRunning a model inside your own environment removes a data transfer and adds real cost. What actually forces the decision, and what it changes.
- 27 August 2026Evaluating an AI feature before it shipsWithout a fixed set of real cases, the only available verdict on a prompt change is that it seems better. Here is how to build one that is worth trusting.
- 25 August 2026Where AI should hand over to a personThe handover is a design decision with commercial consequences. Getting it wrong in either direction is expensive.
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