There is no universal “best tool” — only fit to data maturity, compliance needs, and whether you need individual productivity or audited workflow automation.
You buy contracts, integrations, and run costs — not magic.
Typical stack layers
| Layer | Purpose | Watchouts |
|---|---|---|
| LLM API | generation, classification | RPM limits, retention policy, region |
| Orchestration / RAG | grounded answers | chunk quality, source refresh |
| Automation | cross-system workflows | idempotency, retries, audit |
| Observability | quality over time | token spend, answer drift |
Related
FAQ
TagsAI & Machine LearningStrategy
Frequently Asked Questions
- Rarely — often an LLM API plus your orchestration layer integrates cleaner.
- Trade control/GPU ops vs packaged compliance and speed — pick based on regulation and ops budget.