Book a Call AI delivery systems for engineering teams
I help engineering teams move from scattered AI tools to a governed product factory: specification, architecture, build, tests, deployment, and feedback loops working as one system.
Factory infrastructure
Useful agentic delivery needs more than agents. It needs context, model routing, memory, review gates, deployment paths, evidence, and people who know how to operate the system.
AxiaCraft
AxiaCraft turns a real workflow into a repeatable delivery path: specification, agents, tests, review, deployment evidence, release control, and handover.
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Rembr
Rembr gives agents durable context across sessions: decisions, handoffs, contradictions, temporal recall, and the working memory needed for longer-running engineering work.
Learn moreField guide library
The series follows one operating lifecycle across governance, measurement, team design, security, repository readiness, workflow patterns, evaluation, model infrastructure and observability.
Guide 1 of 9
A practical operating guide for qualifying AI use, governing delegation, preserving human accountability and creating a sanctioned path to value.
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Guide 2 of 9
A practical guide to consequence, delegability, the complete RAG impact chain, full human-machine economics and accountable outcomes.
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Guide 3 of 9
A practical operating model for human accountability, governed work classes, workflow bundles, evidence, approvals and continuous learning.
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Guide 4 of 9
A practical control guide for private code, tools, credentials, data, CI, cloud accounts and production-affecting agent workflows.
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Guide 5 of 9
A practical repository-readiness guide for authoritative context, architecture, tests, deterministic gates and bounded agentic change.
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Guide 6 of 9
A practical pattern catalogue for governed agentic engineering, bounded work classes, human accountability and independently verified evidence.
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Guide 7 of 9
A practical evaluation system for coding-agent outcomes, routing decisions, escalation value, tail economics and delivery impact.
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Guide 8 of 9
A practical guide to operating sanctioned local, cloud and hybrid model lanes with bounded authority, fallback and work-item evidence.
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Guide 9 of 9
A practical playbook for joining agent runs to machine consumption, human intervention, evidence, cost and accountable outcomes.
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Agentic Engineering
Eight downloaded coding models, one frozen SWE-bench baseline, official scoring and the runtime failures the headline scores leave out.
Agentic Engineering
Advanced AI systems are starting to display ego-like behaviours: self-protection, narrative continuity, and resistance patterns that matter for agent design.
Agentic Engineering
Why Radical Geek, Rembr, OpenClaw, and AxiaCraft are starting to fit together as a practical agentic engineering stack.