Eric McLaren
Get in touch
Proof of work

I build AI agents that do real work.
Here they are, working.

I'm Eric McLaren. By day I lead Copilot enablement at Canadian Tire. Outside it I run a production multi-agent platform, live 24/7 since January 2026. Most people describe AI systems. This page just shows you mine.

24/7
Live since January 2026
5
Specialized agents in production
45s
Job posting to submitted, one run
150+
Employees trained on Copilot
01 The demo

An agent applying to a job on its own

My PC, driven end to end by one of my agents. It reads the posting, picks the tailored resume it wrote, answers the screening questions, and submits. The only human involved is me, with my feet up.

agent session, screen capture, 20x speed Full run
45s
Full run: posting to submitted

August 2026. A few seconds of phone video, then the screen capture at 20x speed. The agent picks the tailored resume it wrote, fills every field, answers the screening questions, and it ends on the live confirmation screen.

02 The platform

What is actually running

One self-hosted platform, five specialized agents, running around the clock on my own hardware.

01
Persistent memory

Months of context in a continuously consolidated knowledge base, retrieved by hybrid vector and text search. The agents audit their own recall for errors.

02
Hands on a real computer

A secured daemon gives agents screen reading, mouse and keyboard control of a Windows workstation. That is what you are watching in the video.

03
Real-time voice

A speech-to-speech stack benchmarked across three vendors and tuned to sub-second first response. It takes live calls.

04
Self-auditing tools

An evaluation harness catches hallucinated quotes before anything can cite them, alongside detectors that report their own blind spots instead of failing silently.

05
Autonomous jobs

Overnight research arrives as finished documents. Financial monitoring and scheduled maintenance run on their own clock while I sleep.

06
Multi-provider routing

Fallback chains and per-lane cost governance across Anthropic, OpenAI, Google and xAI. Inference spend cut roughly 60% at constant quality.

Built with

Copilot StudioMicrosoft 365 CopilotPower AutomateAnthropic ClaudeModel Context ProtocolRAGPythonSQLFastAPIWhispern8n / Zapier / Make
03 The day job

Enterprise Copilot enablement at Canadian Tire

I co-lead it. The job is taking a capability people are skeptical of and turning it into adopted, measured practice.

  • A company-wide use case library.
  • Training that has reached 150+ employees.
  • The Copilot in Excel curriculum piloting the corporate rollout.
  • Recognized in writing by the AVP chairing the enterprise AI committee.

Same skill as everything above, pointed at an organization.

Adoption, not demos

Ask me anything about how it works

Every system on this page is real, self-hosted, and in daily use. I am happy to walk through the architecture, the failures, or the cost model.