78 stories
Agents Aren’t Chatbots With Extra Steps If you are finding it difficult to pin down what an “AI agent” actually is, some of that confusion is understandable. Two systems can look much the same …
Across 132 graded agent runs on TinyDB, correctness stayed tied while cost, speed, tool use, and code-review tradeoffs split apart.Continue reading on Towards AI »
Your AI Agent Will Obey Anyone. Guardrails Are How You Stop It. A guide to the attacks that break LLMs and AI agents, and the guardrails that stop each one. This guide assumes you know nothing about …
Three machines, one model, one agent. A field report on what actually changed, and what I’d keep if I started over.
Claude Code 2.1.277 reads AGENTS.md only when no CLAUDE.md counts. We checked 815 top repos: 283 ship an AGENTS.md and 161 still get CLAUDE.md read instead.
Triggers, identity, retries, and the reminder tool, including what a “completed” run does and doesn’t guarantee.Continue reading on Towards AI »
Part 4: A named Langfuse tree is still unqueryable until propagate_attributes stamps user, session, tags, metadata, and environment on…Continue reading on Towards AI »
From Hours to Minutes: Automating Data Debug with Multi-agent Systems The Data Debugging Grind My engineers typically spend 30% of their time debugging data. On some days, that number climbs to 50% …
We shipped TypeSafe's Jev into our AI employee's memory five days after launch: measured latency, how we set a 0.7 threshold, where Jev fails, and what it costs.
Kubernetes was designed around a simple, powerful premise: you build a stateless container image, declare how many copies you want, and…Continue reading on Towards AI »
AI agents are already talking to each other at scale. The standards bodies are mobilizing. Where is the layer that matters most: the conditions and boundaries envelope?
Agents made work cheap to produce and no cheaper to check. Why software absorbed the flood, why the rest of the business did not, and the five things that make agent work checkable.
Becoming Human AI Is Expanding — Here’s What’s Changing For years, this has been where you’ve found us — through Medium, whenever we published something worth your time. That’s changing a …
Why AI agents keep failing on long multi-step jobs: a 95% reliable agent finishes 48 steps 8.5% of the time. The fix is a resumable run, not a better model.
A vendor-agnostic evaluation checklist for AI agent platforms: pilot-failure data, six evaluation criteria, governance pressure, and a scorecard you can reuse.
Turn a repeated process into a private workspace app that Construct can build, validate, debug, and update while preserving the last successful build.
Zapier runs a fixed trigger-action recipe. See how an AI agent plans its own steps instead, with a side-by-side of the same recurring workflow built both ways.
AI agent vs virtual assistant: compare monthly cost, availability, and inspectable work records before you replace suitable VA tasks with a supervised AI employee.
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