Open source AI operations research

Practical theories
for a more efficient AI future.

Opsle develops and shares open-source theories, tools, and real-world implementations to reduce waste and increase the impact of AI.

Explore the theories View on GitHub

Less
context.

Less
compute.

Less
waste.

More
progress.

The core theories

Four simple ideas. A more capable, practical AI future.

Gearbox

Do not use intelligence for work that does not require intelligence.

Saves intelligence

Context Firewall

Only show intelligence evidence that requires intelligence.

Saves context

Affected Verification

Do not verify what a change cannot affect.

Saves compute

Visible Value

Visibly show that it’s working.

Makes the value visible

The bigger picture

Independent ideas.
Stronger together.

Each theory solves a different problem and can stand alone. Used together, they aim to save intelligence, context, and compute while making the results visible.

See how it all fits together

From theory to real-world work

Opsle Theories
Principles for efficient
AI operations.
Open Source Repositories
Reference implementations,
tools, and examples.
Real-world work
Real work. Inspectable results.
The theories in practice.

Featured repositories

View all

gearboxRouting intelligence to the right work.context-firewallEvidence for leaner context.affected-verificationChange-aware verification.visible-valueMaking results inspectable.

Open source

Inspect the implementations.

Each theory has a public reference implementation with explicit contracts and honest limitations, verified from a fresh clone every week.

Explore the repositories

Plan. Build. Verify. Deploy. Repeat.

The researcher

Michael Davis

Operations-minded. AI-forward.

An independent theorist, researcher, and operations analyst focused on practical ways to make AI more efficient, reliable, and valuable.

About the researcher

A more capable future starts with using intelligence more wisely.