David Chen
David builds and ships AI agents for production. He writes about the messy reality behind the demo videos.
All work by David (23)
AI Agents Are Finally Useful — Here's Where They Break
Six months of shipping autonomous agents in production. Here's where they win and where they still spiral.
Claude 4 Artifacts: Real-World Report After 60 Days
The feature Anthropic quietly shipped that changed how our writing team works.
How to Start an AI Consulting Business in 2026
The playbook we've seen work for solo AI consultants — niche, offer, delivery and pricing.
Understanding Large Language Models: A Practical 2026 Guide
How LLMs actually work — without the maths — and why it matters for the choices you make.
Claude vs Gemini: The Serious Assistant Showdown
Long-document reasoning vs Workspace integration — which model deserves a paid seat?
How to Build a Reliable AI Workflow in 2026
From messy prompt chains to production-grade AI workflows — the framework we teach teams.
ChatGPT Agents After 90 Days: What Actually Ships in Production
Where OpenAI's agent framework wins, where it still breaks and where it's ready for real workflows.
How to Use Claude in 2026: The Practical Guide
Master Claude's Projects, Artifacts and long-context strengths — and where it beats ChatGPT.
Claude 4 Review: Best AI for Long Documents?
A serious ChatGPT alternative for research, legal work and long-form writing.
Advanced Prompt Engineering: The 2026 Guide
Beyond templates: reasoning scaffolds, structured outputs, and evaluations that make prompts durable.
AI Ethics and Safety: A Working Guide for Teams in 2026
Beyond the panels and press releases — the operational choices that make AI adoption defensible.
AI Regulation in 2026: What Teams Actually Need to Know
The EU AI Act, US executive orders and sector rules — cut to what product and legal teams actually need.
RAG in Production: The 2026 Playbook
Retrieval-augmented generation without the demo-to-disappointment gap. Chunking, retrieval, evaluation and observability.
Vector Databases in 2026: What Actually Matters
Latency, cost and DX — with real benchmarks from a production RAG deployment.
The Future of AI Agents: Where We're Heading by 2030
A grounded forecast on where AI agents go from here — and what it means for teams.
How to Fine-Tune an LLM on Your Own Data
A practical walkthrough for teams that need private, tuned models.
AI for Lawyers: A 2026 Guide to Safe, Useful Adoption
Where AI actually helps in legal work — and where it will get you fined or fired.
AI Safety in 2026: A Practical Guide for Builders
The AI safety topics that matter for the teams shipping products today — not the philosophy debates.
How LLMs Work: A Non-Technical 2026 Explainer
From tokens to attention to alignment — how modern LLMs actually work, in plain English.
The Best AI Coding Assistants in 2026
Cursor, Copilot, Windsurf, Claude Code and the rest — ranked for real engineering teams.
Build Your First AI Agent Without Code
Use no-code tools to orchestrate multi-step AI agents that do real work.
GitHub Copilot
Autocompletes real code across languages inside every major IDE.
Claude
Anthropic's reasoning-focused assistant with a huge context window and safer defaults.