Define the input and expected result. Then choose models for retrieval, extraction and generation.
The living forest
Ideas take root.
Field notes on model selection, workflows and building with AI.
Choose models around the task
Define the input and expected result. Then choose models for retrieval, extraction and generation.
Our capability map organizes video, text, image, speech and multimodal roles. A role can require a specialist model, a traditional algorithm or several services; it is not automatically a single API endpoint.
Use fewer tokens. Measure the full cost.
Send relevant context, reuse extracted facts and keep outputs focused. Measure savings alongside quality.
Track input and output tokens, retries, latency and task success. More model calls can increase overall cost. Audio, image and video services may bill by seconds, images or other units rather than tokens.
Build answers with sources
Retrieve reliable sources, check conflicting claims and keep citations with the final answer.
Several models agreeing does not establish truth. Validate against original sources and review before publication. llms.txt helps describe the site to agents; it does not guarantee search placement or AI citations.
Send relevant context, reuse extracted facts and keep outputs focused. Measure savings alongside quality.
Retrieve reliable sources, check conflicting claims and keep citations with the final answer.
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