Technical Reference

Technical Guides

In-depth, educational content on AI systems, enterprise architecture, and modern software development practices.

Our technical guides are written for CTOs, engineering leads, and senior developers who need actionable insight rather than surface-level overviews. Each guide draws on real project experience spanning AI integration, cloud-native architecture, data engineering, and DevOps automation. Topics range from designing production-ready machine learning pipelines and implementing retrieval-augmented generation to building scalable microservice ecosystems and optimising CI/CD workflows. Whether you are evaluating a new technology stack, planning a platform migration, or looking for proven architectural patterns, these references provide the depth and practical guidance required to make confident technical decisions.

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Enterprise Guide to Agentic AI Systems

Technical guide to agentic AI systems in enterprise environments. Learn the architecture, capabilities, and applications of autonomous AI agents.

17 min readMar 2025

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Agentic Commerce: How to Let AI Agents Buy Things Safely

How to design governed AI agent-initiated commerce. Policy engines, HITL approval gates, HMAC receipts, idempotency, tenant scoping, and the full Agentic Checkout Protocol.

20 min readMar 2026

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The 9 Places Your AI System Leaks Data (and How to Seal Each One)

A systematic map of every place data leaks in AI systems. Prompts, embeddings, logs, tool calls, agent memory, error messages, cache, fine-tuning data, and agent handoffs.

16 min readFeb 2026

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AI Decisions You Can Defend: Auditability, Traceability, and Proof in Production

How to build AI systems with full decision traceability. Structured audit events, HMAC receipts, session-scoped decision chains, human approval records, and retention architecture.

18 min readMar 2026

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AI Failure Modes: A Production Engineering Guide

Technical guide to AI failures in production. Learn about hallucinations, context limits, prompt injection, model drift, and building resilient AI apps.

18 min readJan 2026

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AI Systems in the EU: Designing for GDPR from Day One

A senior architect's guide to building GDPR-compliant AI systems. Trust boundaries, semantic tokenization, policy-driven restore, and real production scenarios.

15 min readApr 2026

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AI Governance: Building Trustworthy AI Systems That Scale

Practical guide to AI governance in enterprise environments. Learn access controls, audit trails, compliance frameworks, and responsible AI practices.

18 min readJan 2026

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Latency vs Accuracy in AI Systems: Real Numbers from Production

Real latency and accuracy trade-offs from production AI systems. Streaming, semantic caching, model sizing, pipeline optimization, and the 'good enough' decision framework.

12 min readMar 2026

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