Insights
Author: admin
-
LLMOps after the notebook
Notebooks prove feasibility; LLMOps proves you can change prompts, models and corpora without breaking production.
-
The data work pilots skip
Retrieval, lineage and refresh schedules determine whether AI stays accurate — and pilots treat them as tomorrow’s problem.
-
Agents that act, not assistants that chat
The difference is tool use, supervision and workflow — not a bigger chat window.
-
Evaluation before the first user
If you cannot test it, you cannot ship it — evaluation harnesses belong in sprint one, not after launch.
-
What a two-week discovery actually produces
Ten working days, three people, one readout — and a discovery pack your board can act on.
-
Most enterprise AI never leaves the demo
Pilots impress steering committees and stall in production for predictable reasons — not because the model was wrong.