01
Task
Give the work a clear contract.
The harness accepts a maintenance request with a defined outcome and the company instructions that govern it.
Custom agent engineering
Build the operating system around the model.
A model answers. A harness determines what it may know, what it may do, how it uses tools, when it must stop, and how its work is evaluated.
Illustrative workflow / Service request SR-104
Task / SR-104Prepare a maintenance visit.
Read service history. Draft the job. Ask before scheduling.
Read history AllowedBook visit Approved
Service lead approved
Only the approved visit is scheduled.
Visit scheduled · Evaluation passedPolicy respected · Action recorded
03 / Execute and evaluate
Inside the workflow / Illustrative example
An agent with a defined operating boundary.
A maintenance task passes through context, tool policy, a human approval and evaluation before completion.
Task
Give the work a clear contract.
The harness accepts a maintenance request with a defined outcome and the company instructions that govern it.
02
Context and tools
Select only the tools the task needs.
Company Brain supplies the procedure. A ticket-drafting tool is permitted; an unrelated destructive tool is denied.
03
Human approval
Stop at the decision boundary.
The proposed work order waits for supervisor approval. No business-system write occurs while approval is pending.
04
Execution and review
Execute the approved action. Check the result.
The harness submits the approved tool call and evaluates the returned ticket against the task contract.
05
Completion
Leave a reviewable record.
The completed task records its source, tool, approver and evaluation. Failed checks would return the task for review.
What we engineer
The details that make this workflow dependable.
Instruction and policy architecture
System instructions, project rules, skills, hooks, deterministic workflow stages, and release gates.
Tools, memory, and subagents
MCP clients and servers, Company Brain context, scoped memory, planner/executor patterns, and independent review.
Routing and resilience
Model routing, provider fallback, background workers, task queues, retries, rollback paths, and clear escalation.
Evaluation and control
Customer-specific evaluation sets, regression testing, prompt-injection defenses, human approval, observability, and audit.
Modernize what already exists
Wrap existing OpenAI, Anthropic, Gemini, Bedrock, local-model, or mixed-model deployments instead of replacing the entire stack.
Start with proof
Bring us the workflow you want to improve.
We map the work, test model and capacity requirements, design the controls, and define a practical implementation.