Turn repeatable work into an AI-assisted workflow.
We build agents that work with your approved tools and information to complete defined tasks, with clear limits on what they can do and when they need your team's approval.
When to bring us in.
Your team repeatedly gathers information, prepares outputs, or moves work between systems, and you want to automate a specific part of that process.
Concrete work.
Clear handover.
We define the deliverables and acceptance criteria together before work begins.
Agreed for your project.
We agree on data access, actions, model providers, and usage costs before implementation. For a complete user-facing AI experience, choose AI Product Engineering.
- 01A workflow map defining inputs, actions, outputs, and approval steps.
- 02Agent implementation with the agreed tool and system integrations.
- 03Access rules and human review for sensitive actions.
- 04Evaluation scenarios for successful tasks, incorrect outputs, and tool failures.
- 05Run logs, operating instructions, and a handover of known limitations.
Clear scope. Visible progress.
A practical handover.
Map the task
Connect tools
Build
Evaluate
Hand over
Launch and ongoing support are defined in the project scope.
Questions about AI Agent Development.
Cost and delivery dates are confirmed from your scope, integrations, and release requirements. Third-party charges are discussed separately.
How does an AI agent differ from an AI product feature?
An agent performs a defined task across approved tools and information. AI Product Engineering covers a user-facing feature, including its interface, data integration, feedback, and fallback behavior.
How are access and model costs handled?
Data access, allowed actions, model providers, and usage costs are agreed before implementation. Sensitive actions need clear approval steps, and evaluations cover incorrect outputs and tool failures.
Explore related product work.
These are HunpeoLabs products, each at its stated stage. They provide context for our work, rather than a promise of your project’s results.
AI-Agent-Kit ↗
Build repository-aware AI agents with explicit approvals and reviewable evidence.
Explore related services.
What would you
like us to build?
Tell us about your idea, your users, and what a successful delivery would look like.