Select the workflow
Choose a high-value workflow with clear inputs, outputs, permissions, and escalation rules.
Code Huddle Solutions
AI Agent Development
We design AI agents around bounded business workflows, with explicit tools, permissions, review steps, and measurable outcomes.
Discuss your projectWho this is for
- Teams automating research, support, operations, sales, internal workflows, or multi-step tasks that currently require repetitive human coordination.
Problems we solve
- Manual workflows spread across many systems
- Unreliable automation without clear boundaries
- No audit trail for agent actions
- Difficulty measuring whether an agent is actually useful
How we work
A practical path from idea to reliable delivery
Define tools
Create typed, least-privilege tools with validation, idempotency, and audit events.
Orchestrate
Implement state, retries, timeouts, human approval, and recovery paths.
Evaluate
Replay scenarios and monitor success rate, unsafe actions, cost, latency, and user acceptance.
Scope and investment
Start with the smallest valuable scope
Agent projects are usually staged: one bounded workflow first, then additional tools and autonomy after evaluation proves the initial workflow is safe and valuable.
Technology patterns
- LangGraph
- CrewAI
- OpenAI
- Anthropic
- Python
- FastAPI
- Node.js
- PostgreSQL
- Redis
Evidence and related work
- HuddleBot AI tool
- Generative AI service
Tradeoffs we make explicit
- More autonomy increases the need for permissions, review, and rollback.
- Multi-agent designs can help specialization but add latency and coordination failure modes.
- The best first agent is usually narrow, observable, and reversible.
Questions
Frequently asked
Do you build fully autonomous agents?
We can, but we normally begin with bounded autonomy and human approval for high-impact actions. Autonomy expands only after evaluation and monitoring establish trust.