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18 posts tagged #2026.
Simon Willison frames AI-assisted security research as proof of work: more tokens in, more bugs found. That's an economic reality. Here's what the spend curve actually looks like and how to put a floor under it.
Flatiron Health toured AI-native startups in SF. One PM covers five companies, Claude Code is replacing Cursor, non-engineers are shipping production. I'm running the same model from Tennessee as a solo holding company. Here's what that actually looks like.
Anthropic shifted enterprise billing to per-token pricing. Every provider is expected to follow within six months. Here's how agent costs change and how to cap them at runtime.
Claude Code has two prompt-caching TTLs, and most devs pay the pricier tier without knowing. Here's how cache writes quietly inflate your Anthropic bill — and how to cap it.
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.
Is OpenClaw production-ready? We ran 3 real workloads — RAG, tool-calling, multi-step chains — against LangGraph. Here's exactly where it wins and where it breaks. (2026)
Martin Fowler named the AI feedback flywheel. We built the same system independently. Here's our exact implementation — vault, agents, guardrails, and weekly cadence.
Vendor quotes for AI agents run 3-5x reality. We surveyed 40+ builds — from $500 DIY weekends to $150K enterprise rollouts. Here's the real 2026 cost breakdown by complexity tier.
Google's A2A protocol finally lets agents from different vendors talk to each other. What it does, when it ships in 2026, and the 3-line config that makes your stack A2A-ready today.
Want a private voice assistant with zero cloud and no subscription? A Raspberry Pi 5 runs it offline at sub-2s latency. We tested 6 local models on real hardware — here's the winner. (2026)
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.
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.
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.
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.
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.
Cloud LLM bills hit $2K/month fast. An RTX 5070 Ti serves Llama 3.1 at 50 req/s for $0 per call — we benchmarked 4 consumer GPUs and built the exact production setup.
Off-the-shelf AI agents fail when your workflow is the edge. Here's when custom development actually pays off for small business.
We ran the same AI agent on OpenClaw and a custom build for 90 days. Shipping was faster — but the monthly bill, vendor lock-in, and control gaps tell a different story. Full breakdown with actual costs.
Real costs, real tools, no fluff. M-F when I ship, publish, or learn something worth sending.