Building Client Trust When They Don't Trust AI
Some clients are not confused about AI, they are skeptical of it, often for good reason. Here's how I earn trust with clients who start the relationship doubting the whole premise.
Where AI Actually Saved Me Time (And Where It Didn't)
After running 50 agents across two businesses, the time savings were real but not where I expected them. Here's an honest audit of what actually worked.
The Retainer vs Project Debate for AI Agencies
Project fees and retainers solve different problems for an AI agency. Here's how I decide which one fits a given client, and why I stopped defaulting to one over the other.
Rolling Out Agent Changes Without Breaking Production
A prompt tweak that looks harmless can quietly break a workflow that has run fine for months. Here's how I ship changes to production agents without gambling on the outcome.
Agent Observability: How I Know What 50 Agents Are Actually Doing
Running 50 AI agents without visibility into their behavior is flying blind. Here's the observability layer that tells me what's happening before a client has to.
Single Agent or Multi-Agent? How I Decide
Multi-agent systems are trendy right now, but most tasks do not need them. Here's the decision framework I use before splitting a workflow into multiple agents.
AI Agent Security: What I Lock Down Before Giving Agents Access
Giving an AI agent access to your systems is a security decision, not a convenience decision. Here's the checklist I run before any agent touches production data.
