ReAct Pattern
Think, act, observe, repeat. The loop lets an agent adjust to what its tools return, and it keeps going until something tells it to stop.
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Evaluating Agent Actions and Workflow Outcomes
A final reply can be right while the world is wrong. Score agent runs by the effect ledger, constrain the trajectory, test faults and attacks, audit reviewers, and gate releases.
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Human Approval and Escalation in AI Workflows
Approval is a protocol, not a click. Define what the reviewer sees, who may approve, what invalidates an approval, what silence means, and what the audit records.
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Agent State, Planning, and Bounded Execution
An agent loop makes many individually valid calls. What keeps the sequence under control is explicit task state, a validated plan, budgets that end every run, and a trace that explains it afterward.
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Tool Authorization and Argument Validation
A model only proposes a tool call. The runtime decides whether it is well-formed, permitted for this user, valid in the current state, and safe to run without a person.
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Retrieval-Augmented Generation and Agents
A model’s weights are a lossy, frozen snapshot of the world. Retrieval is how you stop relying on them.
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Prompt Injection and Untrusted Content Boundaries
A hostile sentence in a note, passage or tool result can steer a model. Track where text came from, bound what a steered model can do, and test defenses against adaptive attacks.