Insights
From prototype to production: how we implement agent systems
HumanBee’s delivery path from discovery to operate — architecture, prototype, production implementation, and support.
Moving an agent demo into production is mostly systems engineering: boundaries, integrations, governance, and operations. The model is rarely the hardest part once the first demo works.
Our engagement model
- Discover — goals, systems, constraints, success criteria
- Design — architecture and governance model
- Build — agents, tools, workflows, tests
- Deploy — into your environment
- Operate — support and hardening
Pricing is scoped per engagement — we do not publish fixed packages that ignore your complexity.
What discovery actually produces
A useful discovery phase ends with more than slides. Typical outputs:
- A map of systems the agent must touch
- A list of irreversible vs reversible actions
- Constraints from security, data, and ops
- A phased plan with clear acceptance criteria
If discovery cannot name the first production path in one sentence, keep refining before you build.
Design: decide the boundaries early
Architecture work answers questions demos skip:
- Is this one agent or several with different permissions?
- Where does agent state live?
- What runs in your VPC vs outside?
- Which tools need Gatekeeper-style authorization or HITL?
- How will your team extend the system after handover?
Build and deploy without theater
We implement against real APIs and agreed environments. That usually means:
- Typed tool adapters
- Tests for failure and recovery paths
- Run visibility for operators
- Handover docs your engineers can maintain
We avoid fake demos that only work on seeded happy-path data unless that is an explicit milestone.
Where HazelJS helps
When TypeScript Agent OS primitives fit, we use HazelJS so packaging, durable runs, and governance are not reinvented. Consulting remains optional — you can adopt HazelJS without HumanBee.
What “operate” means
After launch, agents drift as tools, prompts, and traffic change. Operate work typically covers reviews, monitoring hooks, performance fixes, and policy updates. We only claim outcomes we can verify in your stack.