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AI Agents
125 posts on ai agents, guides and lab notes from real runs on hardware we own. New posts land here automatically. Start anywhere, or grab the copy-paste prompts that ship with them.
- 3 min read
AI Chose Nukes 95% of the Time. Here's What That Means for Your Agents.
Three AI safety papers came out this week. Reading them back to back was jarring. If you run agents in production, this is worth 5 minutes.
- 7 min read
OpenClaw AI Agent Review (2026): Free, 250K Stars, No Guardrails
Is OpenClaw worth it? Yes if a developer owns it and errors are recoverable. No for customer data or compliance work: no approval flows, no audit logs, no SLA. Full verdict inside.
- 8 min read
Applying Rahul Garg's Feedback Flywheel to Agent Workflows
Rahul Garg described a feedback flywheel on Martin Fowler's site. Retained failures and shared instructions can inform tested updates to an agent workflow.
- 7 min read
How to Hire an AI Agent Developer (2026 Guide)
The market is flooded with people claiming to build AI agents. Here's how to tell who can actually ship one, and what questions to ask before you pay anything.
- 6 min read
Google Agent2Agent (A2A) Protocol: Interoperability Guide (2026)
Need agents from different vendors to talk? Google's Agent2Agent (A2A) protocol explained: what it does, when it ships in 2026, and the 3-line config that makes your stack A2A-ready today.
- 6 min read
How a 9-Person Startup Replaced Its Dev Team With AI
JustPaid ran 7 AI agents 24/7 with OpenClaw, shipped 10 features in a month for $4K/week. Here is the real cost breakdown and what it means for you.
- 8 min read
6 Agent Patterns From Claude Code's Leaked Source
Anthropic accidentally leaked Claude Code's source. I read through it. Here are 6 architecture patterns that are changing how I build agents for clients.
- 7 min read
Prompt Injection Attacks on AI Agents: What Business Owners Need to Know
AI agents can be hijacked through the content they read. Here is what prompt injection looks like in production, why your existing security stack will not catch it, and what to build instead.
- 6 min read
What Is MCP? The Protocol That Makes AI Agents Actually Useful for Business
Model Context Protocol (MCP) is the open standard that lets AI agents talk to your real tools, databases, APIs, files, without custom glue code. Here's what it is, how it works, and whether you actually need it.
- 8 min read
Why 88% of AI Agent Pilots Fail (And How to Beat It)
88% of AI agent pilots never ship to production. We analyzed why, and built a 5-step playbook used by the 12% of teams that actually make it.
- 7 min read
Local LLM Inference on a Consumer GPU: RTX 5070 Ti Setup (2026)
Can a consumer GPU serve an LLM in production? One RTX 5070 Ti runs Llama 3.1 8B Q4_K_M via llama.cpp as a live public endpoint. The stack, what broke, when local pays off, and when it doesn't.
- 7 min read
Custom vs. Off-the-Shelf AI Agents for Small Business
Off-the-shelf AI agents fail when your workflow is the edge. Here's when custom development actually pays off for small business.
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