Why most AI pilots stall before production, and how to ship yoursQuick answer: Most AI pilots stall because they are built for a demo, not for production: no business metric, curated data, no integration plan and no owner. Pilots that ship start from one workflow a2EA2d ago · 11 min readapptycoons.hashnode.dev
AI agent guardrails: a production control checklistQuick answer: AI agent guardrails are controls outside the model that limit what an agent can see, do and spend. The core set: narrow tools, permissions scoped to the user, a network allowlist, approv2d ago · 14 min readapptycoons.hashnode.dev
Build vs buy AI agents: a CTO decision frameworkQuick answer: Buy when the agent does what every company’s agent does, volume is modest and the product already connects to your systems. Build when the workflow is your advantage, the data must stay 2d ago · 16 min readapptycoons.hashnode.dev
AI receptionist call routing: from demo to booked appointmentQuick answer: In production, an AI receptionist works best as a front agent with one job: find out what the caller wants and hand the call to an agent built for that request. The agents behind it stay2d ago · 12 min readapptycoons.hashnode.dev
Why sub-second latency makes or breaks a voice agentQuick answer: Aim for the agent to start speaking within about one second of the caller finishing, and faster where you can. People leave gaps of roughly 200 ms between turns, so longer silences feel 3d ago · 12 min readapptycoons.hashnode.dev
