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AI-native engineering operations.

For a local business, start with a free written review. For production software or AI systems, explore technical consulting.

I built an operating system for AI-native software development.

I help technical founders map their agents, context, verification, and delivery into one inspectable system.

Audit my AI build systemOpen the proof

137

repositories under my name

8

live systems you can open

19,800

commits across 13 core repos

Public proof snapshot as of July 13, 2026. “Marked deployed” describes registry status only.

The operating model

Make the whole build system inspectable.

The work is not about adding more agents. It is about making the path from intention to verified delivery visible enough to improve.

Direction

Translate the business objective into explicit work, priorities, and completion criteria.

Context

Give each agent the source material, constraints, and system map needed to make sound decisions.

Execution

Coordinate focused workstreams while keeping ownership and handoffs visible.

Verification

Test the artifact, inspect the deployed result, and record what the evidence actually proves.

Delivery

Move verified work onto the production path and keep its operating state inspectable.

Canonical profiles

Follow the work at its source.

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Travis Eric LogoTravis Eric

AI consulting and custom business systems, based in Fort Collins. Find the useful change. Build it. Put it to work.

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Follow the work

New systems and field notes, sent when they ship.

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