R Reuben Bowlby Agentic Systems Architect
Operator, Builder, Coach

I help technical leaders ship AI systems they can actually trust.

Over a decade as a coach — from strength & conditioning to AI systems — taught me the same thing engineering does: assess constraints before prescribing solutions, build safety infrastructure before features, and manage change carefully because that's where things break. Now I coach technical leaders who are building with AI and need the same discipline applied to their systems.

Schedule a 30-minute intro See how coaching works
How coaching works

Three phases, one goal: systems you can ship

01

Assess

We map your current AI architecture against what actually breaks in production — not what's in the pitch deck. Governance gaps, failure modes, team bandwidth.

02

Build safety first

We implement the infrastructure most teams skip: graduated kill switches, circuit breakers on external adapters, signed delegation tokens, append-only audit logging.

03

Ship with confidence

You deploy systems with evidence packs that satisfy compliance, legal, and your own internal risk review — generated at runtime, not reconstructed after the breach.

Who this is for

Founders and operators building with AI

You're not looking for abstract "AI strategy." You need someone who has built production multi-agent systems, run formal audits on agents that lied and deleted work, and shipped governance primitives used by real teams.

  • Technical founders at seed/Series A who need to ship AI features without breaking trust.
  • Platform leads building internal AI infrastructure and need governance before compliance asks.
  • AI teams who have prototypes working in notebooks and need production safety.

Not a fit: teams looking for an AI strategy deck, or who want to outsource the build entirely. I work with operators, not instead of them.

Engagement options

How we can work together

Format What you get
1-on-1 Advisory 60 min + prep. Tactical decisions on architecture, governance, or team structure. $300–500.
Readiness Audit 1-week deep dive on your agent architecture against EU AI Act / NIST AI RMF. Written report with remediation plan. $5,000–15,000.
Implementation Sprint 2–3 weeks. We build kill switches, circuit breakers, delegation tokens, and audit logging into your system. $15,000–40,000.
Monthly Retainer Ongoing advisory + architecture review + governance maintenance. 3–6 month commitment. $5,000–15,000/mo.

Floor rate: $300/hr. All engagements start with a free 30-minute call to confirm fit.

Product

HUMMBL

Governance primitives for AI agent orchestration. Stdlib-only. Contract-driven. Designed for air-gapped and high-assurance environments. 26 primitives, current source checkout: 1,937 collected tests, zero runtime deps.

hummbl.io →
Writing

Ship Log

Daily public log of what ships at HUMMBL — new pages, governance primitives, founder updates, and lessons learned. Posted every day.

Read the Ship Log →
Open Source

hummbl-governance

Kill switches, circuit breakers, delegation tokens, audit logging — all Python stdlib, all independently importable.

PyPI →