LLM & generative AI
Model APIs, structured generation, tool use, context design, model routing and open models when appropriate.
For technical teams
The implementation is chosen for the problem, not from a mandatory tool stack.
Model APIs, structured generation, tool use, context design, model routing and open models when appropriate.
State machines, memory, human approval, bounded retries, idempotency and event-driven workflows.
Retrieval, metadata, citations, permissions, reranking and answer evaluation.
TTS, STT, multilingual narration, pronunciation, timestamps, speech alignment and audio QA.
Image understanding, OCR where useful, extraction, classification and validation.
Web/mobile experiences, APIs, databases, asynchronous workers and deployment.
Evaluations, monitoring, usage budgets, caching, fallbacks, provider portability and access boundaries.
A useful next step
You do not need a technical specification. Tell us what happens today and what you want to change.