Your agent's KPIs are already in its records, if you record the right things. Escalation rates, override rates, and rework all come straight from a good flight recorder. Read a sample every week, before anything breaks. sheppaj.substack.com/p/give-…

We just opened the Enabuild AI Discord, a home for people actually shipping agents and enterprise AI. 🛠 agents, evals, MCP tools 🎤 live office hours 🚀 #show-your-work feedback Founding members welcome: discord.gg/GSg6mt2TdV

"The model decided" is not an answer. Give every agent a flight recorder: what it was asked, what it read, what it was allowed to do, and what it chose and why. sheppaj.substack.com/p/give-… Engage with Enabuild AI to see our Above the Model Agentic Runtime Trust and Governance framework.

MCP gave AI agents a universal plug. Zero trust decides what gets plugged in: registered servers, deny-by-default tools, task-scoped credentials. Engage with Enabuild AI to see our Above the Model Agentic Runtime Trust and Governance framework. #MCP #ZeroTrust

Enabuild AI is hiring an Agentic Enablement Partner in Greater Boston, and the role is hybrid or remote within the US. You find high-impact agentic AI use cases with clients and guide pilots to production with our Above the Model framework. Apply: linkedin.com/jobs/view/44811…

Enabuild AI is hiring an Agentic Lifecycle Engineer in Greater Boston. You own the full agent lifecycle above the model: harness, tools, memory, MCP, evals, tracing, drift, and cost. You must have built LLM agents beyond the prototype stage. Apply: linkedin.com/jobs/view/44807…

A change that makes your agent more confident is often the most dangerous kind. Before any prompt or model change goes live, rerun it on a fixed set of past cases, including the ones where the right call was to escalate. sheppaj.substack.com/p/treat…

The agent you tested last month is not the agent running today. Version every part, test each change on real past cases, and keep a fast rollback. Engage with Enabuild AI to see our Above the Model Agentic Runtime Trust and Governance framework. sheppaj.substack.com/p/treat…

Agents don't fail like RPA bots. A bot hits a broken selector and stops. An agent retries, replans, and explains why it's still working. From outside, that looks like progress. On the bill, it's a loop. Force that failure in testing, not production. sheppaj.substack.com/p/add-a…

Most agent scorecards only measure what the agent finished alone. The real test is the handoff: does it say what happened, why it stopped, what it found, and what it recommends? sheppaj.substack.com/p/grade…

An agent that never stops is not smart. It is an open tab on your infrastructure. Put hard stops in the runtime: max steps, max time, max spend. sheppaj.substack.com/p/add-a… Engage with Enabuild AI to see our Above the Model Agentic Runtime Trust and Governance framework.

Your agent's best answers tell you little. Its handoffs tell you more. Grade missed escalations, the handoff packet, and the reviewer's time. Engage with Enabuild AI to see our Above the Model Agentic Runtime Trust and Governance framework. sheppaj.substack.com/p/grade…

Don't focus on building the "kill" switch. Build the undo button. Agent freedom should match how easily you can reverse its actions. Engage with Enabuild AI to see our Above the Model Agentic Runtime Trust and Governance framework. sheppaj.substack.com/p/dont-…

Would you hire someone without a bonus plan? Then why deploy an agent without one? KPIs first in Enable, before Build. Engage with Enabuild AI to see our Above the Model Agentic Runtime Trust and Governance framework. sheppaj.substack.com/p/write…

Write the Bonus Plan Before You Hire the Agent sheppaj.substack.com/p/write…

Bruins legends back on the ice to raise money for ALS research whdh.com/news/bruins-legends… via @7NEWS

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