ai-agents
Agent Skills and AGENTS.md: How to Organize What Your AI Agent Can Do
Agent skills are converging on a shared convention built around AGENTS.md and agent-optimized CLIs. Here's what that means, why how you organize skills changes runtime behavior, and how to structure agent tooling so the right capability fires at the right time.
06/13/2026 · AI Tutorials · 8 min read
Claude Fable 5: What's New, How It Compares, and the Guardrail Controversy Explained
Anthropic shipped Claude Fable 5 and a fast-moving governance fight followed. Here's a builder's read on what's genuinely new, where the guardrails bite, and why the walked-back researcher policy matters.
06/12/2026 · Model Evaluation · 8 min read
How to Evaluate Agent Skills: Frameworks, Benchmarks, and What Actually Matters
New frameworks and benchmarks finally make agent skill quality measurable. Here's a practical playbook for scoring and evolving your own skills — and why how you organize them changes runtime behavior.
06/12/2026 · Model Evaluation · 7 min read
Multi-Agent AI Risk: Why Agents Run Amok and How to Contain Them
When autonomous agents act on the world — and interact with each other at scale — small failures compound fast. Here are the real failure modes and the guardrail patterns that actually contain them.
06/11/2026 · Research · 8 min read
Context Engineering for Agents: Why More Memory Can Make Your AI Agent Worse
New research converges on a counterintuitive point: more memory can make AI agents worse. Here's what context engineering for agents means and how to manage agent memory well.
06/11/2026 · Research · 7 min read
Context Engineering for AI Agents: Why Less Context Beats More Memory
Context engineering for AI agents is having a moment: a wave of same-day research argues that curated, time-aware context beats piling on more memory. Here's what changed and how to design agents that stay accurate over long tasks.
06/10/2026 · Research · 8 min read
Context Engineering for AI Agents: Why Less Context Often Means Better, More Reliable Agents
A fresh wave of June 2026 research reframes agent reliability around "context engineering" — giving agents less but better context. Here are the failure modes it names and the patterns builders can apply today.
06/10/2026 · Research · 10 min read
How Agent Environments Are Standardizing: OpenEnv, AGENTS.md, and Automation-as-Code
In a single week, three signals — OpenEnv, the AGENTS.md convention, and browser automations-as-code — pointed the same direction: AI agent infrastructure is converging on shared standards. Here's a practitioner's map of the emerging stack.
06/09/2026 · Research · 9 min read
How to Build a Reliable Browser Automation Agent (2026 Guide)
A browser automation agent can click, type, and scrape like a human — but reliability, not intelligence, is what breaks in production. Here's how to build and evaluate one that survives a site redesign.
06/09/2026 · AI Tutorials · 9 min read
Computer Use Agent Benchmarks, Explained: What They Measure and How to Read One
A computer use agent benchmark tells you whether an OS-driving agent actually works — but only if you know what it measures. Here's how to read task success, trajectory quality, and cost before you trust the headline number.
06/09/2026 · Model Evaluation · 11 min read
AI Browser Automation as Code: How to Build Browser Agents That Don't Break
AI browser automation promises agents that click through any website on command — but in production they go flaky fast. Here's why, and how the "automation as code" pattern makes browser agents reliable enough to ship.
06/09/2026 · AI Tutorials · 10 min read
Prompt Injection Attacks Are Now a Named Threat: What Lockdown Mode and the Meta Hack Mean for Agent Builders
Prompt injection attacks just graduated from research curiosity to a named product threat. Here's what OpenAI's Lockdown Mode and the Meta AI chatbot hack reveal about the new agent-security baseline.
06/08/2026 · Industry Trends · 10 min read
Prompt Injection Prevention: How to Secure AI Agents Against the Web's Hidden Instructions
Prompt injection prevention is the central unsolved problem in AI agent security. With OpenAI's Lockdown Mode now putting vendor weight behind the threat, here's what prompt injection is, why it's so hard to stop, and a practical defense checklist.
06/08/2026 · Research · 10 min read
LLM Token Cost Optimization: How to Cut Your AI Agent Bill Without Cutting Quality
LLM token cost optimization is now the dominant operational story for teams running AI agents. Here's a practical playbook — caching, context trimming, model routing, batching, and budgets — to cut your token bill without gutting quality.
06/08/2026 · AI Tutorials · 9 min read
Designing Tools for AI Agents: How to Build CLIs and APIs Agents Can Actually Use
Designing tools for AI agents is becoming its own discipline. Drawing on the agent-optimized hf CLI, datasette-agent-edit, and a 150-line build, here are the concrete patterns that make a CLI or API agent-friendly.
06/08/2026 · AI Tutorials · 8 min read
Computer-Use Agents in 2026: How Good They Are and How to Run One Locally
Computer-use agents have moved past demos — Holo3.1 ships local checkpoints and the new MacArena benchmark exposes where they still break. Here's how good computer-use agents really are in 2026 and how to run one locally.
06/08/2026 · Model Evaluation · 8 min read
What OpenAI's Lockdown Mode Means for Prompt Injection Protection — And How to Actually Defend AI Agents
OpenAI shipped Lockdown Mode, the first named defense against prompt injection from a major lab. Here's what it does, what it doesn't, and the layered prompt injection protection that keeps any tool-using agent safe.
06/08/2026 · Research · 9 min read
Agent Skills Explained: Building Reusable Claude Code Skills (With a TDD Example)
Stop re-prompting your coding agent from scratch. "Skills" are the unit of reuse for agents — here's the anatomy of a skill, why it beats one-off prompting, and a worked test-driven development example you can adapt.
06/07/2026 · AI Tutorials · 10 min read
How to Reduce AI Coding Agent Costs Without Slowing Your Team Down
AI coding agent bills have become a board-level line item, and some companies are already capping usage. Here are the levers — model routing, caching, scoped budgets, and observability — that cut spend without killing developer velocity.
06/07/2026 · AI Tutorials · 9 min read
How to Reduce AI Agent Token Costs Without Killing Quality
AI agent token bills are spiking and even big teams are capping usage. Here are practical, durable tactics to cut agent token costs while keeping output quality high.
06/07/2026 · AI Tutorials · 9 min read
How to Protect AI Agents From Prompt Injection With OpenAI Lockdown Mode
OpenAI's new Lockdown Mode hardens agents against prompt injection and data exfiltration. Here's what it defends against and how to build a layered protection posture around it.
06/07/2026 · AI Tutorials · 8 min read
OpenAI Lockdown Mode Explained: Defending AI Agents Against Prompt Injection
OpenAI's new Lockdown Mode is the first frontier-lab defense aimed squarely at prompt injection. Here's what it covers, what it can't stop, and the agent defenses you still owe yourself.
06/07/2026 · Industry Trends · 8 min read
How to Reduce AI Token Costs: A Practical Playbook for Agent Teams
The token bill is coming due. Here's a practical, vendor-neutral playbook to reduce AI token costs for agents and dev teams — without gutting quality.
06/07/2026 · AI Tutorials · 10 min read
Prompt Injection Protection: What OpenAI's Lockdown Mode Means for AI Agents
OpenAI's new Lockdown Mode puts prompt injection protection back in the spotlight. Here's what changed — and a durable playbook for defending AI agents against prompt injection attacks.
06/07/2026 · Research · 9 min read
AI Agent Observability Explained: What to Monitor and Why
AI agent observability is the new ops layer for agents in production. Here is why it is being funded hard right now, how it differs from traditional monitoring, and the concrete signals teams should trace.
06/07/2026 · Industry Trends · 8 min read
How AI Agent Memory Works: Architectures, Patterns, and Trade-offs
AI agent memory is what lets an agent remember across turns, sessions, and tasks. Here is how it actually works — the memory types, the write-and-recall loop, and the design trade-offs teams keep getting wrong.
06/07/2026 · Research · 9 min read
How to Cut AI Agent Token Costs: A 2026 Playbook for Coding Agents
AI agent and Claude Code bills have become a real budget line, and some teams are now rate-limiting usage. Here are the levers that actually cut token spend — MCP design, context hygiene, caching, model routing, and usage caps.
06/06/2026 · AI Tutorials · 9 min read
Securing AI Coding Agents: Defending Against Config Injection, Worms, and Prompt-Based Access
Agent-specific attacks have moved from theory to live incidents — including a worm that spreads through repo config and an access breach that came down to simply asking the AI. Here's the layered defense your coding agents need.
06/06/2026 · Research · 9 min read
How to Reduce AI Agent Token Costs: 9 Tactics That Actually Work
AI agent token costs are climbing fast enough that enterprises are capping usage. Here are nine concrete tactics to reduce AI agent token costs without crippling capability.
06/06/2026 · AI Tutorials · 8 min read