Product features
- LLM features in existing apps
- Tool calling
- Human review paths
Practical LLM features, document workflows, structured extraction, and automation inside existing products.
We add AI where it solves a specific product or operations problem. The workflow includes controlled inputs, structured outputs, evaluation, and a human review path where the result needs judgment.
Applied AI work can be a search feature over internal documents, a structured extraction step, an assistant for an existing workflow, or a small automation that removes repetitive work. We focus on the interfaces around the model: retrieval, validation, retries, tool permissions, evaluation, and useful failure states.
Share the current product, architecture, or operational bottleneck. We will map the right delivery shape and identify what should be designed before the first implementation sprint.