Intent Solutions builds and operates AI systems around a defined business outcome. We work out what must change, how to test it, and who will be responsible when it runs.
Start with the problem. You do not need a model or a technical specification picked out.
Here to build with us? Explore the practiceA demo shows behavior. A test checks a claim. Our public work gives you both to inspect before you decide to work with us. It is evidence of our method, not a promise about your result.
This published Labs record shows the gate, its decision, and when it ran. Open the bundle to inspect the result in context.
Inspect this evaluationdatabricks-cluster-forensicsDated example, checked 12 September 2026. This is one gate result, not a verdict on an entire system. See current results.
Current evaluations, evidence bundles, freshness, and the rows that did not pass.
See current results EvalsVersioned meanings for verdicts, runtime receipts, review states, and regressions.
Read the definitions MarketplaceA public marketplace of plugins and agent skills that can be inspected before adoption.
Explore the marketplace DemosA catalog of systems and experiments you can open, use, and judge for yourself.
Open the demosThe build keeps a record. Read the field notes
The model follows the task, your data constraints, and the tests it needs to pass. You should be able to understand what the system can do, what it cannot do, and who is responsible for it.
Write the outcome, authority, constraints, evidence, and stopping conditions before an agent starts generating.
Design context, tools, handoffs, and human control as one operating system around the agent.
Test the claim, publish the evidence, keep the failures visible, and make the result reproducible.
Ship with ownership, observability, rollback, cost controls, and a clear response when the agent is wrong.
Jeremy Longshore founded Intent Solutions. Today, engineers, operators, instructors, and project leaders define, build, test, teach, and run the work together. Models and providers remain components; the team and its operating standard are what make the work durable.
See the people and the practiceTell us what your team does today and what a useful result would look like. We review the fit before proposing the work.