Blog archive

PostHog ships to thousands of daily agent users. They rebuilt their AI architecture twice before getting it right. Here are the 5 rules they distilled, reframed for builders shipping agent features.

Your AI agent bill is climbing and nobody set a cap. Meta burned 60T tokens across 85K staff in 30 days. Here are the 3 budget controls they skipped — and guardrails that catch overruns early. (2026)

Researchers tested 428 LLM API routers. Nine were actively injecting malicious code. One drained ETH from a private key. Here is what this means for your AI 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.

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.

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.

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.

Is Aymo AI worth $39/mo? We ran every tier for 30 days. The free plan's 50-call cap hits fast — see when paid beats ChatGPT Plus and Claude Pro, and when it doesn't. (2026)

Setting --n-gpu-layers wrong tanks your tokens/sec or crashes with OOM. Here's exactly what to use (-1, 0, or a number), the VRAM-per-layer math, and 4060-4090 benchmarks.

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.

One bad loop and an AI agent burned $200 in minutes. AgentGuard is a Python SDK that enforces hard cost limits at runtime — here is how to ship it.

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.

Most businesses do not need multi-agent AI yet — but some do. 5 questions to find out which camp you are in, with real cost and complexity benchmarks.

What does an AI agent actually cost? We surveyed 40+ real builds — API spend, dev hours, infra, and the hidden costs that blow budgets. Tier-by-tier, $500 to $150K. (2026)

Tested all three across 20+ real automations. n8n wins for speed, Make for non-coders, custom scripts when it gets complex. Side-by-side pricing, limits, and the exact use case each one owns.