AI Systems Journal
Notes on building AI systems that ship
Architecture, trade-offs and lessons from production work on agentic AI, voice agents, MCP, LLM integration and retrieval — written for engineers and technical leaders.
Latest · · 6 min read
Voice AI lead generation platform architecture
The architecture of a multi-client AI lead generation platform: data intake and enrichment, a CRM system of record, n8n orchestration, Vapi voice AI agents, WhatsApp, email and a human rescue desk with masked calling.
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6 min read
Agent harness engineering: a production guide
Agent = model + harness. The seven layers of a production agent harness — tools and MCP, context, state, sandbox, guardrails, verification and evals — with a case study from an infrastructure-provisioning agent.
Agent Harness · Agentic AI · MCP
5 min read
Anthropic Claude enterprise AI updates (April 2026)
Enterprise briefing on Anthropic’s April 2026 Claude releases: Claude Design, org-wide preferences, Claude for Word (beta), Claude Code routines, and Cowork live dashboards—usage, governance, and rollout.
Anthropic Claude · Enterprise AI · Claude Code
7 min read
Where do LLMs learn from? Understanding training data sources
The four primary sources of LLM training data — web crawling, professional databases, synthetic data and commercial licensing — and how Common Crawl data is filtered, cleaned and packaged for training.
LLM Training · Data Engineering · AI Infrastructure
10 min read
Mistral OCR 3: document accuracy and efficiency
Mistral OCR 3 for invoices, forms and complex tables: high-fidelity extraction, HTML table reconstruction and pricing of $1–2 per 1,000 pages for document AI pipelines.
Document AI · OCR · Mistral
6 min read
The Gartner AI maturity model: a roadmap for enterprise AI adoption
Gartner’s five-level AI maturity framework, its seven assessment pillars, and practical strategies to build capabilities and move from awareness to transformation.
AI Strategy · Enterprise AI · AI Governance
2 min read
Why your next product should be a chat-web application
Traditional dashboards are giving way to conversational workflows. How to design chat-web apps with LangGraph, LLMs and automation stacks that let users ask, act and automate in one place.
Chat UX · Agentic AI · Automation
1 min read
How to integrate LLMs into enterprise microservices
A pragmatic guide to adding LLM-powered capabilities to existing services, with patterns for security, latency and cost.
LLM Integration · Microservices · Claude
1 min read
Agentic AI systems architecture with LangGraph
Designing multi-agent workflows for orchestration, routing and reliable tool use across enterprise contexts.
Agentic AI · LangGraph · Orchestration
1 min read
Vector databases for semantic search: patterns and pitfalls
Choosing a vector database, chunking strategies, metadata filters and evaluation for production semantic search.
Vector DB · Semantic Search · RAG