Agentic OS.
Multi-agent systems that don't drift.

An agent system that handles multi-step work end-to-end: planning, execution, review, hand-off. Specialized agents instead of one giant prompt. Built on Claude + MCP, deployed on the infrastructure you already pay for.

• Agents with defined roles (planner, worker, reviewer) that hand work to each other safely
• Shared memory between agents so context isn't re-paid on every call
• Hard spend ceilings per task and per user so cost can't run away
• Production observability, you can see what each agent did, why, and what it cost

You shipped an agent system. It mostly works. Sometimes it loops. Sometimes it spends 10x what it should. This audit finds the orchestration bug before your next customer demo or board update.

• A full walkthrough of which agent calls what, when, and what could go wrong
• Failure mode catalogue pulled from your real production logs, not theory
• Specific recommendations for cost ceilings, retry logic, and fallback paths
• A written 30-day plan to fix the top issues, ranked by impact

When to spawn a sub-agent vs, inline the work vs, defer to a queue. The architectural question most teams get wrong. Token cost, latency, isolation, and reliability trade-offs made explicit instead of decided by vibe.

• Per-workflow recommendations on where sub-agents help and where they slow you down
• Patterns for keeping each agent's context isolated so they don't step on each other
• Decision tree for synchronous vs, asynchronous fan-out, with cost math
• The "do not fan out" rules, when serial is actually faster and cheaper

Most teams write single-agent test suites. Multi-agent ones expose race conditions, ordering bugs, and cost regressions that single-agent tests can't see. The harness for answering "does this system still work with 5 of these running at once?"

• A concurrent-execution test harness that runs your agents in parallel under realistic load
• Automatic detection of race conditions and ordering violations
• Cost regression alerts when an agent change pushes per-task spend up
• Integration into your CI so the suite runs on every PR, not on demand