Select a bounded task
Find a task where flexible interpretation is useful and errors are visible.
SERVICE NOTE 03
AI applications and agents.
Useful model-powered features with controlled inputs, tools, and failure paths.
What would a useful result look like, and how would someone catch a wrong one?
WHAT THIS CAN INVOLVE
AI applications and agents shaped around a real task.
We integrate language models into real workflows: retrieval, structured outputs, tool use, evaluation, and human review where it matters. The model is one component in a system with observable behavior and explicit limits.
Useful deliverables
- LLM integrations and retrieval
- Agent and MCP workflows
- Evaluation and review paths
HOW THE WORK MOVES
Make the important choices visible.
Each step leaves the team with something concrete to review, refine, and own.
Ground and evaluate
Use relevant context and representative examples to test the result.
Review and recover
Keep important choices reviewable and return work safely when the model cannot help.
RELATED CAPABILITIES
The system may need more than one piece.
LET'S GET SPECIFIC
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