Put the idea to work
Agent Trust Assessment
What evidence would justify the next step?
- Evidence
- What shows it works?
- Human review
- Where is judgment needed?
- Accountability
- Who owns the outcome?
Practical thinking for building AI that actually works inside organizations.
Frameworks, experiments, and tools from Matthew Davis.
Workshop Guide
Talk through your AI workflow with a guide grounded in the writing and tools here.

Put the idea to work
What evidence would justify the next step?
The thinking behind the tools
Featured writing
What people need to rely on an agent—and recognize when they shouldn’t.
Featured framework
A framework for understanding what really happens.
Explore the frameworkStart with a real question
Find the gaps between an agent that works and one people can rely on.
Turn an ambitious AI idea into a small, testable hypothesis.
Work out whether you need a process fix, automation, AI assistance, or a bounded agent.
Inside the experiments
Explore how context, actions, and human review shape an AI workflow. An interactive model for asking better architecture questions.
Open the Architecture ExplorerMove from recommendations to actions, and inspect the controls that belong with them.
Illustrative model · no live systems connectedThe person behind the workshop
I work at the intersection of AI, data, systems, and transformation. This is where I turn what I’ve learned into frameworks, experiments, and tools you can use.
More about my work