Context engineering
Give an agent the right instructions, relevant evidence, system state, and task boundaries before it reasons or acts.
CONTEXT · TOOLS · ORCHESTRATION
AI agents engineered to do useful work.
Harvey approaches agents as complete software systems—not isolated prompts. The focus is on grounded context, clearly scoped tools, observable workflows, validated outputs, and human control.
Agent workflowsTool useRAGStructured outputGuardrailsEvaluation
ENGINEERING APPROACH
From conversational interface to reliable system behavior.
A useful agent needs more than a model response. It needs application context, bounded capabilities, state, validation, recovery paths, monitoring, and an interface that makes its progress understandable.
Tool integration
Connect models to focused APIs, application services, search, data, and automation capabilities through explicit tool contracts.
Workflow orchestration
Break complex goals into observable steps with routing, retries, state management, and clear completion conditions.
Structured outputs
Use predictable schemas and validation so agent decisions can safely connect to real software workflows.
Guardrails & approval
Constrain tool access, validate actions, and keep people in control when a workflow could affect important systems or data.
Evaluation & observability
Measure answer quality, tool selection, latency, failures, and task completion instead of judging an agent only by its demos.
REPRESENTATIVE AGENT LOOP
A deliberate path from intent to verified outcome.
Each step creates an observable checkpoint instead of hiding the entire task inside one prompt.
- 01UnderstandIntent · context · constraints
- 02PlanRoute · choose tools · define steps
- 03ActCall tools · update state · recover
- 04VerifyValidate · evaluate · hand off
WHAT GOOD LOOKS LIKE
Agentic behavior with software-engineering discipline.
Grounded answers instead of unsupported confidence
Small, auditable tools with explicit permissions
Structured state across multi-step workflows
Human approval for consequential actions
Evaluation based on real task outcomes
Clear loading, progress, and recovery states
BUILD AN AGENTIC WORKFLOW