Jamie Shepard

President Enabuild AI. AI Practitioner/AI Enabler/Creator of Above the Model Agentic Runtime Trust and Governance framework
Tweets are my own

[Jamie Shepard @sheppaj]

Eyes on AI: Visibility, Control, and Value
Wed, Dec 2, 5-8 PM ET
The Sea Fire Grill, 216 E. 49th St., NYC

With Jamie Shepard (President, https://t.co/6pmge5EwLu) and Chris Gaun (VP of Product Marketing, Island), hosted with the Lydonia | Enabuild team.

https://t.co/4xGTjD12rZ
#iamai

[Jamie Shepard @sheppaj]

Your next new hire won't have a badge or a manager. It's an AI agent that already has access to your systems.

A prompt that says "don't look at payroll" isn't a control. Govern agents like the workforce: identity, least privilege, audit trail. We call it Agentic Zero Trust.

[Jamie Shepard @sheppaj]

Guardrails tell an agent what it can reach. They don't tell you what it actually did.

A Replit agent deleted a production database during a code freeze. Air Canada was held liable for a policy its chatbot made up.

Govern behavior at runtime: check every action before it runs.

#iamai

[Jamie Shepard @sheppaj]

Approve everything before it goes out sounds safe. By week three, it's a two-second click on work nobody read.

Save real approvals for high-stakes, hard-to-undo actions. Let the rest run and get sampled, so reviewers read what's left.

https://t.co/0svJEcUEdF

[Jamie Shepard @sheppaj]

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.

https://t.co/OZoOtavuSL

[Jamie Shepard @sheppaj]

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: https://t.co/TWfuNP6Gyr

[Jamie Shepard @sheppaj]

"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. https://t.co/OapzHWE6vI

Engage with Enabuild AI to see our Above the Model Agentic Runtime Trust and Governance framework.

[Jamie Shepard @sheppaj]

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

[Jamie Shepard @sheppaj]

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: https://t.co/vrTmusGsIF

[Jamie Shepard @sheppaj]

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: https://t.co/lTmNGKDF2K

[Jamie Shepard @sheppaj]

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.
https://t.co/vSRKPXCDnn

[Jamie Shepard @sheppaj]

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.

https://t.co/vSRKPXCDnn

[Jamie Shepard @sheppaj]

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.

https://t.co/gNzJTjoUtp

[Jamie Shepard @sheppaj]

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?

https://t.co/V260OlTuMh

[Jamie Shepard @sheppaj]

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.
https://t.co/gNzJTjoUtp
Engage with Enabuild AI to see our Above the Model Agentic Runtime Trust and Governance framework.

[Jamie Shepard @sheppaj]

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.

https://t.co/V260OlSWWJ

[Jamie Shepard @sheppaj]

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.

https://t.co/WhKe5K9vmt

[Jamie Shepard @sheppaj]

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[Jamie Shepard @sheppaj]

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[Jamie Shepard @sheppaj]

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.

https://t.co/oQJ0BYLxqd