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

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

• Agents with defined roles (planner, worker, reviewer) that hand work to each other
• 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
• A log of what each agent did, why, and what it cost

You shipped an agent system. It mostly works, but it loops on some inputs and spends 10x what it should. This audit finds the bug in your logs and the fix.

• A walkthrough of which agent calls what, when, and what could go wrong
• A list of failure modes pulled from your real logs, not theory
• Specific recommendations for cost ceilings, retry logic and fallbacks
• A written 30-day plan to fix the top issues, ranked by impact

When to spawn a sub-agent, when to do the work inline, and when to defer to a queue. Cost, speed, isolation and reliability trade-offs made explicit instead of guessed.

• Per-workflow recommendations on where sub-agents help and where they slow you down
• Patterns for keeping each agent's context separate so they don't step on each other
• A decision tree for parallel versus sequential work, with the cost math
• The "do not split this up" rules, for when serial is faster and cheaper

Most teams test one agent at a time. Running them together exposes the timing bugs, ordering bugs and cost spikes that single-agent tests can't see. This answers "does this still work with 5 running at once?"

• A test harness that runs your agents in parallel under realistic load
• Automatic detection of timing and ordering bugs
• Alerts when an agent change pushes per-task spend up
• Wired into your CI so the suite runs on every change, not on demand