Insights hub
AI & Agents
Production RAG, agents with guardrails, evals, and cost control — not demo-day AI.
Why agentic AI projects die before production
Demos cancel themselves when trust, cost, and ownership show up — how to design agents that survive the move to prod.
What to look for in an agentic AI development partner
Past the demo: evals, permissions, production ownership, and integration with your real stack.
AI use cases that survive production (and ones that don’t)
Classification, retrieval, and assisted workflows beat “autonomous company” fantasies for startups shipping in 90 days.
Production RAG checklist for startups
Data boundaries, evals, latency budgets, and fallbacks — before you demo to the board.
The tech debt AI leaves behind after the demo
Prompt sprawl, untested tools, and invisible cost — how to clean up before it becomes permanent architecture.
Agent tool-calling with human approval gates
How to let agents act without letting them email customers or delete data unsupervised.
AI boutique vs product engineering team: which do you need?
Demos vs auth, observability, evals, and on-call — how to choose without buying hype.
Eval harnesses before you demo to the board
Golden sets, regression gates, and what “good” means for copilots and agents.
Need ai & agents capacity?
Send a brief — we’ll recommend Starter, Squad, ODC, or an Agent sprint.