AI pods
Small senior teams. AI agents. One accountable outcome.
An AI pod is a compact, senior team that works with AI agents under human oversight and owns an outcome. It is how we deliver quickly without giving up quality.
§ 01Team
What is in a pod
Delivery lead
One accountable contact. Keeps scope, risk, and communication clear.
AI architect
Designs the agents, retrieval, evaluations, and guardrails.
Senior engineers
Build and review production software. People own design and quality.
AI agents
Take the repeatable work such as analysis, test generation, and documentation, with human review.
Build your pod
Pick a problem. See the pod.
This is how we would typically staff and sequence the work. Every engagement is scoped to your situation.
People
- Delivery lead
- Automation engineer
- AI architect
Agents, reviewed by people
- Intake agent
- Document-check agent
- Follow-up agent
First weeks
- 01Map the workflow and its exceptions
- 02Automate the repeatable path end to end
- 03Add human review on edge cases
- 04Measure time saved and tune
§ 02Engagement
How you can engage
Fixed-scope pod
A defined outcome, timeline, and price. Best for a first project.
Subscription pod
An ongoing team that keeps improving your agents and software.
Advisory
Strategy and architecture guidance for a team that already builds.
§ 03Principles
Principles
Outcomes over hours
Evaluations before launch, monitoring after
Humans decide, agents assist
Your data stays yours
What is eating your week?
Tell us about the task, the tool, or the idea. We read every message and reply by email.