How Servo orchestrates a team of specialist AI agents to compound Brett's output 24/7.
Data flow from human direction through orchestration to specialized execution.
Each agent has a defined role, model, schedule, and trust level.
Layered architecture from human interface down to execution layer.
The operating charter for how agents work together.
No implicit assumptions. Every agent knows its boundaries, permissions, and escalation paths explicitly through config files.
When work passes between agents, context travels with it in a structured format. No lossy telephone games.
Agents that know when to stop and ask are more valuable than agents that guess and break things.
Autonomy is earned and domain-specific. Level 1 (ask first) through Level 4 (full autonomy) based on risk and track record.
If it's not written to disk, it didn't happen. Memory files are institutional knowledge that compounds over time.
Beyond a certain load, purpose-built agents outperform one agent doing everything. Match the tool to the job.
Agent-to-agent protocols should be simple and strict. Less flexibility = fewer failure modes.
The agent that does the work shouldn't be the only one checking it. Verification loops are mandatory.
Each agent should have identity and voice without losing discipline. Personality drives engagement; structure drives reliability.
Shared principles that all agents follow regardless of specialization. The organization's DNA.
Use proven management structures, not AI demo architectures. Standups, retrospectives, and accountability work for agents too.
Assume things will break. Design for graceful degradation, automatic retries, and clear failure reporting.
Measure agents by results (revenue, quality, speed) not by tokens consumed or tasks attempted.
Few rules, strictly enforced. Safety rails that never get in the way until they absolutely need to.
Every failure becomes a lesson. Every lesson becomes a playbook. Every playbook compounds the organization's intelligence.