Advisory for agent systems
See the whole system. Decide what to build next.
You need to judge whether the idea deserves more time and money, give the team a direction, and explain why that direction makes sense. I help you see how the agents, data, tools, outputs, and responsibilities fit together—then turn open questions into a coherent architecture and practical path forward.
System architecture map One route at a time
Inputs Context + evidence sources · constraints · decisions
SystemRoutemap · control
InputsContext + evidencesource · time · quality
01 / RolesResponsibilitiesinputs · outputs
02 / HandoffsTyped artifactsownership · lineage
03 / ControlsValidated statepass · revise · stop
04 / AuthorityHuman decisionact · wait · return
Validated stateStructure · permissions
Context Validated Inputs → roles → handoffs → controls → human
When architecture becomes consequential
The failure is rarely visible in the prompt.
These are architecture failures, not prompt problems.
When this becomes useful
The initiative has promise. The next move is still unclear.
The idea is defined enough to pursue, and the early work may already be producing something valuable. Yet the whole system remains difficult to see: assumptions sit inside handoffs, responsibilities overlap, and several plausible directions compete for the same time and budget. You need a clear, reasoned next move.
Open standard / PROOFI authored PROOF—Premise, Role, Operation, Outcome, and Failsafe—as an open working standard for testing consequential agent-system boundaries. It is one control lens I use, not a certification.
Read PROOF ↗ Ways to work together
Three ways I can help you move forward.
Begin with a focused review, map one consequential agent system, or keep the important choices moving as the work evolves.
Know what needs attention next.
From €3,500 ?→
Deliverable / 01Architecture Review
F-01Role boundariesClarify ownership
F-02Evidence lineageClose the gap
F-03Approval pathMake explicit
For one defined agent initiative that is ready to inspect. I examine how its roles, information, tools, handoffs, and responsibilities fit together, challenge the assumptions that matter, and deliver a written review with prioritised next actions.
Give your team a clear architecture and path.
From €7,500 ?→
Deliverable / 02Agent System Blueprint
EVIDENCE→ROLES→ARTIFACTS
CORE / CONTROLGUARDHODL
For one consequential agent system that needs more than a diagnosis. I map responsibilities, context and knowledge, evidence and data flows, tools and artifacts, handoffs, controls, review, escalation, human authority, and a staged implementation path.
Give the team architectural direction as the work evolves.
From €2,500/month ?→
Engagement / 03Ongoing Advisory
01Decision loggedowner · why · next check
02Design reviewchallenge · resolve
03Direction resetkeep · revise · stop
For an initiative that keeps evolving after a Review or Blueprint. I stay close to the work, challenge important assumptions, review the choices that shape it, and help keep the direction clear. Direct onboarding is scoped separately.
Hodl / perspective
The architecture lens predates AI.
For more than three decades, I have worked on problems that crossed software, infrastructure, operations, unfamiliar domains, markets and business. The recurring job was the same: understand where the layers meet and find what actually determines the outcome.
Software → infrastructure → people → operations
Domain → operating model → architecture
Decision → execution → state → infrastructure
AI is the newest environment for that work, not its origin.Why this matters → About
AI as leverage
A serious multi-agent system behind my own work.
Clawblins is my personal AI crew, built with OpenClaw: specialist roles with curated knowledge, role-specific context, relevant memory and tools, backed by deterministic services, approval boundaries and human authority. The names and personalities are the interface. The control system sits underneath.
Clawblins / operating system
Role-specific context. Explicit control. Human authority.
UnHodl Multi-Agent Trading Infrastructure is one specialist system within the wider crew. Each role receives the context it needs; deterministic controls and stage-specific review sit beneath the agent work.Systems this can apply to
Architecture work beyond one domain.
Next step
Show me what you are building.
Send a short description of what you are building, where it stands, what feels unclear, and what your team must decide next. I’ll read it and recommend the most useful starting point.
Your team or implementation partner builds the system. I provide the architecture, review and decision support.
- 01The system
- 02Current state
- 03What feels unclear
- 04The next decision