GPT-6 Astra: why it matters for business agents
An engineering reading of OpenAI’s GPT-6 Astra documentation: long context, tool use and multi-step work, with a practical framework for a business pilot.
Read the article ↗Resources / Engineering notes
Understand the system. Make the right decision.
Practical articles on software architecture, integrations, AI and delivery. Understand the trade-offs behind a technical decision before investing in it.
01 / 14 articles
AI & Automation
Useful autonomy grounded in knowledge, evaluation, human control and explicit failure behavior.
OpenClaw: connecting a self-hosted agent to business tools
Where OpenClaw fits in an internal workflow, how its gateway and skills connect tools, and what to design before giving an agent operational access.
Read the article ↗Hermes Agent: persistent memory and reusable skills
Understand Nous Research’s Hermes Agent, distinguish memory from RAG and model training, and design a controlled pilot for recurring technical work.
Read the article ↗Building business agents with Spring AI and Java
Build a Spring AI agent around existing Java services: narrow tools, authenticated access, RAG, controlled actions and production observability.
Read the article ↗Enterprise RAG: from documents to reliable answers
Design an enterprise RAG system with maintained sources, access controls and traceable answers. A practical architecture from ingestion to production.
Read the article ↗RAG retrieval: hybrid search, chunking and reranking
Improve RAG retrieval with lexical and vector search, meaningful chunks and measured reranking. Find the right evidence before changing the language model.
Read the article ↗Evaluating RAG: evidence, answers and production checks
Build a useful RAG evaluation set, separate retrieval from generation and monitor citations, refusals, access boundaries, latency and operating cost.
Read the article ↗Putting n8n into production: an operating checklist
Move from a successful workflow demo to controlled environments, recoverable execution and clear ownership.
Read the article ↗AI agent or deterministic workflow: choose the autonomy level
Use the least autonomy that solves the problem, then add model-driven decisions only where variability creates real value.
Read the article ↗Human-in-the-loop: where review belongs in AI automation
Human review is an operating control. Place it from consequence, uncertainty and reversibility—not as a vague safety promise.
Read the article ↗Enterprise RAG: permissions, citations and evaluation
A useful RAG system must retrieve only authorised evidence, show provenance and be evaluated across real information needs.
Read the article ↗n8n, Python or Spring AI: choosing the right automation boundary
A practical way to place orchestration, probabilistic AI behavior and durable business logic where they can be tested and operated safely.
Read the article ↗How to start an AI automation process?
A pragmatic, step-by-step method to identify, prioritise and launch your first AI automation project.
Read the article ↗RAG or fine-tuning: diagnose the problem before choosing
Understand the trade-offs between retrieval-augmented generation and fine-tuning to pick the right strategy.
Read the article ↗02 / 4 articles
Architecture & Product
Boundaries, integrations and product foundations that remain operable as the business changes.
Modular monolith or microservices: a decision framework
Choose application boundaries from ownership, change and recovery needs—not from an architecture fashion.
Read the article ↗Multi-tenant SaaS: the decisions to make early
Tenancy affects identity, data, jobs, billing, support and recovery. This guide makes those boundaries explicit before growth hardens them.
Read the article ↗Reliable API integrations: webhooks, retries and idempotency
An integration is reliable when duplicates, reordering, outages and reconciliation are designed as normal states.
Read the article ↗Modernise legacy software without a full rewrite
Reduce operational risk through measured seams, controlled migration and reversible increments instead of a second big-bang system.
Read the article ↗03 / 1 articles
Cloud & Reliability
Delivery systems that accept work durably, survive provider failure and recover without losing truth.
Kubernetes and Jenkins: when is the platform tax justified?
A decision framework for distinguishing real workload and governance needs from infrastructure added before the operating model exists.
Read the article ↗04 / 3 articles
Delivery & Decisions
Evidence for deciding what to build, buy, reduce or stop before delivery becomes commitment.
Build or buy business software: how to make the decision
A practical build-versus-buy method that includes differentiation, integration, ownership, exit cost and operational risk.
Read the article ↗What an architecture diagnostic should deliver
A diagnostic should turn an uncertain software or automation problem into bounded options, evidence and an executable next decision.
Read the article ↗How much does it cost to build a SaaS platform?
The key factors that drive the cost of a SaaS product and how to budget your project realistically.
Read the article ↗LET’S BUILD TOGETHER
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