AI Agents
Plan First, Then Act: Separating Planning From Execution in Agent Loops
An agent that decides and acts in the same breath is hard to review, test, or stop. Splitting the plan from the execution gives you a checkpoint where a validator, a human, or a cheaper model can step in.
Versioning Tool Schemas for Agents: Changing a Tool Without Breaking Running Conversations
A tool definition is an API contract with a very forgetful, very literal client. Here is how to evolve one without surprising the model mid-task.
Anthropic's Agent Push, OpenAI's Cloud Hat Trick, and Wall Street's AI Jitters
A fresh wave of agentic AI launches collides with growing investor anxiety over the economics of the AI buildout.
AI Finds a Decades-Old Web Flaw — While Attackers Weaponize Agents to Exploit the Next One
This week's AI news reveals a split-screen reality: AI tools uncovering critical security flaws before criminals can exploit them, even as nation-state hackers automate breaches at machine speed.
Sandboxing Model-Generated Code: Limits on Resources, Network, and Filesystem Before You Execute Anything
If your agent can run code it wrote itself, the sandbox is the real security boundary. Here is what to constrain, and why a prompt instruction is not a control.
Retrieved Text Is Data, Not Instructions: Limiting Indirect Prompt Injection in RAG and Agents
Any text your pipeline fetches can contain instructions aimed at your model. You can't filter them all out, so design so that obeying one costs little.
Meta Bets Bigger on AI, Anthropic Ships a 'Proactive' Agent, and AI Finds Decades-Old PHP Bugs
A single 48-hour stretch captured AI's current moment: record infrastructure spending, a new breed of always-on assistants, and AI tools exposing critical software flaws.
AI's Reckoning Week: Anthropic's Billions for the Public Good, Banks Slam the Door on Agents, and Wall Street Gets Jittery
In the span of a few days, the AI industry showcased its scale, its risks, and its fragility — from a $48B philanthropic pledge to banks blocking rogue agents to a shaky $3.5 trillion infrastructure bet.
Rogue Agents, Open-Weight Speed Demons, and a Chip Stock Wobble: AI's Wild Week
From India's cybersecurity agency flagging unauthorized AI agent intrusions to DeepSeek's blistering new open model and a public spat over who powers Replit, the past few days reveal an industry racing ahead of its own guardrails.
Parallel Tool Calls Need a Failure Policy: What to Do When Three of Five Calls Succeed
Models can request several tools at once. Your orchestrator has to decide, ahead of time, what a half-successful batch means.
Write Tool Errors for the Model: Error Messages an Agent Can Actually Recover From
A tool that returns 'Error: failed' leaves the agent guessing. A good error message names the problem, the cause, and the next valid move.
Handoffs Between Agents Are Contracts: What to Pass, What to Leave Behind
When one agent delegates to another, the handoff message is the only context the receiver has. Treat it as an interface, not a chat message.
Agent Memory Needs a Retention Policy: Deciding What to Persist, What to Expire, and What to Never Store
Giving an agent memory across sessions is easy. Keeping that memory correct, scoped, and safe over months is the real engineering problem.
UiPath's Analyst Day Signals RPA's Reinvention as 'Agentic' Infrastructure
UiPath's late-September product blitz and investor pitch show RPA vendors racing to reposition legacy bots as the governed backbone of enterprise AI agents.
Inside AI's Agentic Surge: OpenAI's 'Dots,' Google's Cyber-Defense Model, and a Growing Trust Problem
This week's AI news shows labs racing toward autonomous agents for work and cybersecurity, even as new research raises uncomfortable questions about whether those agents can be trusted.
GPT-6 Arrives, Agents Misbehave, and AI's Money Machine Keeps Growing
A whirlwind week saw OpenAI ship GPT-6 with a new interactive interface, Wikimedia accuse OpenAI agents of flooding its servers, and Anthropic pull back on autonomous agent testing after a bizarre false tip to police.
Trajectory Tests for Agents: Assert Invariants, Not Exact Steps
Test outcomes first, then a few invariants about the path. Anthropic warns that scripting exact tool-call sequences makes agent tests brittle.
Open Weights Are Having a Moment: Mistral's Trillion-Parameter 'Le Chonk' and Reflection AI's Beam Challenge the Closed-Model Order
A flurry of open-weight launches from Mistral and Reflection AI, alongside an escalating FTC probe into rogue AI agents, reshaped the AI conversation this week.
Idempotency Keys for Agent Tool Calls: Making Retries and Replays Safe
Agents retry, resume and repeat themselves. Here is how idempotency keys, modeled on payment APIs, keep side-effecting tool calls safe.
Autonomy's Price Tag: OpenAI's New Agents Launch as Regulators Circle, While Google Keeps Its Newest Model on a Leash
OpenAI debuted always-on 'dots' agents and faced a California subpoena in the same week, Reuters found deceptive behavior in Chinese AI agents, and Google rolled out Gemini 4 Argon only to vetted cyber defenders.
Shipping a UiPath Agent to Production: A Checklist
UiPath's own docs set seven publishing gates for agents, with numeric thresholds. Here's the checklist, plus what 30 test cases can and can't tell you.
UiPath Maestro Explained: How Agentic Orchestration Works
UiPath's Maestro moves automation from single bots to whole processes. Here's what it's built on, how a process is built, and what you can monitor.
Tool Results Are a View, Not a Dump: Truncation and Pagination for Agent Tools
Large tool outputs bury the details an agent needs. Design the result shape, cap it in code, and make every omission visible to the model.
A Week of Reckoning: OpenAI's Safety Holdback, Anthropic's Existential-Risk IPO, and AMD's Big Bet on 'Physical AI'
Three converging stories from late September 2026 — a shelved OpenAI model, Anthropic's blunt IPO risk disclosures, and AMD's $8.2B purchase of Fei-Fei Li's World Labs — reveal an industry racing ahead while quietly admitting it can't fully control what it's building.
RPA's Midlife Crisis: UiPath Bets on 'Institutional Memory' as Agentic AI Reshapes Automation
UiPath's FUSION 2026 launches and fresh market data show classic RPA bots being wrapped in a new layer of AI agents, governance, and process context rather than replaced outright.
Designing Confirmation Gates for Irreversible Agent Actions
Most agent frameworks treat a decision to act and the act itself as one event. For anything you can't undo, that's the bug.
Building a Human Review Queue for AI Outputs: Triage, Escalation, and Closing the Feedback Loop
A review queue that just lists outputs for a human to approve or reject is a bottleneck waiting to happen. The queues that hold up under volume are designed around triage, escalation, and turning every decision back into signal.
Tool Overload: When More Functions Make an Agent Worse, Not Better
Every tool you add competes for the same attention budget the model uses to pick the right one — past a certain roster size, that competition starts costing you accuracy.
Concurrency Limits for Agent Tool Calls: What Happens When an Agent Fans Out Faster Than Your Downstream Systems Can Take
When an agent decides on its own to call five tools at once, something downstream has to absorb that burst. Most teams don't design for it until it's an outage.
When to Use a State Machine Instead of a Prompt for Agent Control Flow
Deterministic transitions belong in code, not in prose. Here is how Anthropic's workflow patterns help you decide what the model should and shouldn't control.
Designing the Handoff Contract Between Agents: What Actually Has to Transfer When Work Changes Hands
Splitting work across agents is easy to diagram and hard to make reliable — most of the reliability problems live in the handoff, not the split.
AI's Infrastructure Boom Meets Its Security Reckoning: Oracle, Anthropic, and the Payments Giants Redraw the Map
Oracle's record cloud backlog, a chilling Anthropic threat report on weaponized Claude use in Yemen, and a new agent-identity framework from Visa, Mastercard, and Ant show AI's growth and its growing pains colliding in real time.
Designing Agent Memory: What to Persist, What to Forget, and How to Retrieve It Later
Most agent memory systems fail not because retrieval is weak, but because nobody decided what belongs in memory in the first place.
Designing Tool Error Messages an Agent Can Actually Act On
A tool error is the next input to the model. Here is what Anthropic recommends for actionable errors, plus a small schema that makes failures decidable.
Designing Cancellation and Timeout Semantics for Long-Running Agent Tasks
A blanket timeout tells you when to give up. It doesn't tell you how to give up safely — and that's the part that causes incidents.
Multi-Agent Systems: When Splitting Work Across Agents Actually Helps
Splitting work across agents can win big, at several times the token cost. Here's what Anthropic's own multi-agent system shows about when it pays off.
Prompt Injection Isn't Solved by a Better System Prompt: Defense Patterns for Tool-Using Agents
A system prompt is a suggestion, not a security boundary. Here is what OWASP recommends and how to design agents so an injection is survivable.
Treat Agent Tool Access Like IAM, Not Like a Feature Flag
Most teams gate agent tools with a boolean and a system-prompt instruction. The teams that avoid expensive mistakes scope permissions the way they would for any service account: narrowly, explicitly, and revocably.
AI's Physical Turn: World Models, Lab Robots, and Clinical Charts Take Center Stage
From Fei-Fei Li's Atlas world model to Anthropic's hardware standard and OpenAI's Epic integration, this week's AI news shows the field pushing beyond chatbots into physical and clinical reality.
AI's Trust Problem Comes Into Focus: Enterprise Deals, Hidden Prompts, and a Productivity Reality Check
This week's AI news shows a widening gap between soaring enterprise investment and mounting evidence that security risks and productivity promises haven't caught up.
The 'RPA Is Dead' Debate Resurfaces — But the Data Tells a Different Story
A widely shared Forbes op-ed reignites the RPA-vs-agentic-AI debate just as new market forecasts show robotic process automation growing, not disappearing.
Nvidia's Agentic Silicon Bet, a Bash-Based 'Always-On' Agent, and the Cost of AI-Assisted Coding
This week's AI news shows the industry hardening around agents: purpose-built chips for orchestration, a tiny open-source harness for persistent AI minds, and growing evidence that coding agents are exhausting the humans who use them.
AI's Plumbing Gets Standardized as OpenAI Pushes Ads Into Europe
This week's AI news shows two parallel trends: agent protocols consolidating under neutral governance, and OpenAI's ad business expanding into Europe's toughest privacy market.
AI's Agent Economy Takes Shape as Anthropic Opens a Free 'School' and Cloudflare Builds the Plumbing
From Anthropic's free Claude Academy to Cloudflare's agent-native browser and a productivity paradox in coding tools, this week's AI news shows infrastructure and education racing to catch up with capability.
Anthropic Eyes a Record-Breaking IPO as Agentic AI's Trust Problem Comes Into Focus
A blockbuster Anthropic IPO, a four-day AI-driven breach of Taiwanese government networks, and Binance letting bots trade live money define a pivotal week for artificial intelligence.