Adhibita

Research

What we study

We study how AI holds up in real work.

Our research comes from running our own agents, models and benchmarks every day. We test, measure and keep what holds up, then build it into our products and client systems.

MUSCLEFlex
MUSCLECore
MUSCLECistern
Method

How we run a study.

Four steps

Start with a decision.

Every study starts with a choice someone has to make: which model takes a task, whether an agent can run unattended, what a change will cost.

Use real work.

We build task sets from real work: code changes, research, writing and long agent runs. Public benchmarks are a starting point, not the answer.

Measure quality, cost and failure.

Each model or agent runs the same tasks at different settings. We record what it got right, what it cost and how it failed.

Change the system.

Results become routing rules, review gates and defaults. Then we measure again, because models keep changing.

Where the research goes

Routing and cost
MUSCLE Flex
Shared context
MUSCLE Cistern
Review gates
Client systems
Evaluation suites
Client systems
Research note · 16 Oct 2026

The least expensive model that qualifies

6 min read
Field guide · 13 Oct 2026

Evaluate on your own tasks

7 min read
Principle i

Measure before you claim.

Research | Adhibita