Insights for AI builders
Tutorials, product updates, and ideas to help you build and ship AI applications faster.
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Agent Loops Explained: Trigger, Action, and Stop Condition
An agent loop is a trigger, an action, and a stop condition. Learn how to design loops that run autonomously and know when to stop.
How to Design Agent Loops with Verifiable Stop Conditions
The best agent loops use objective stop criteria, not subjective ones. Learn how to define done conditions that agents can check deterministically.
AI Agent Ownership: Why Every Agent Needs a Single Responsible Owner
Unowned AI agents cause silent failures. Learn the four pillars of agent ownership—job, diet, boundaries, and review loop—to keep agents reliable.
How to Build an AI Agent Roster for Your Team: The Agent Ownership Card
Every agent your team uses needs a name, owner, job, sources, permissions, and known failure modes. Here's how to build and maintain an agent registry.
What Is the AI Augmentation Model? How IBM Used AI Without Laying Anyone Off
IBM's Ask HR and Ask IT handled 94% of routine queries without layoffs. Learn the augmentation model that outperforms AI replacement strategies.
What Is the AI Regulation Precedent? The Claude Fable 5 Government Shutdown Explained
The US government forced Anthropic to pull Claude Fable 5 globally—the first forced shutdown of a commercial AI model. Here's what happened and why it matters.
What Is the AI Replacement Rollback? Why Starbucks, Klarna, and McDonald's Are Rehiring Humans
95% of enterprise AI pilots fail to deliver ROI. Learn why companies are rolling back AI replacements and what the augmentation model looks like instead.
What Is the AI Token Cost Crisis? Why Uber Burned Its Entire AI Budget in 4 Months
Uber's engineers spent $500–$2,000/month each on AI tokens. Learn why token costs are exploding in agentic workflows and how to manage them.
Build vs Buy for AI Tools: A Framework for Business Owners Using Claude Code
When should you build a custom AI tool vs buy a SaaS? Use this two-criteria framework to avoid wasting time rebuilding what already exists.
How to Use ChatGPT Scheduled Tasks for Daily AI Briefings and Email Automation
ChatGPT's new scheduled tasks let you automate daily news briefs, email scans, and recurring research. Here's how to set them up and refine them over time.
What Is Google DeepMind's AGI-to-ASI Paper? Four Pathways to Superintelligence
Google DeepMind published a paper mapping four paths from AGI to ASI: scaling, algorithmic shifts, recursive self-improvement, and group agent formation.
How to Use GLM 5.2 as a Backend for Your AI Agents: OpenRouter Setup Guide
Run GLM 5.2 inside Claude Code or any agent harness via OpenRouter. Step-by-step setup to cut API costs without sacrificing coding quality.
How to Build an Overnight Docs Sweep Loop for Your Codebase
Run a nightly agent loop that reviews your codebase for documentation gaps, updates outdated docs, and opens a pull request—automatically.
How to Add Persistent Memory to Claude Code: Short-Term, Long-Term, and Scoped Access
Claude Code forgets everything between sessions. Learn how to build a memory system with cited sources, semantic search, and team-scoped access.
What Is the Pew Research AI Paradox? Why More People Use AI but Trust It Less
50% of US adults now use AI chatbots, yet more predict negative societal impact than positive. Here's why both trends are true at the same time.
How to Build a Production Error Sweep Loop That Runs Every Night
Set up a nightly agent loop that scans production logs, traces errors to root causes, fixes them, and opens a pull request—all without human input.
How to Build an SEO and GEO Visibility Loop That Runs Weekly
Automate your SEO and GEO audit with an agent loop that finds technical issues, ranks them by impact, fixes them, and reruns until no critical gaps remain.
What Is GLM 5.2? The Open-Weight Model Competing with Claude Fable 5 on Coding
GLM 5.2 is a 744B open-weight model with MIT license that rivals Claude Fable 5 on coding benchmarks at a fraction of the API cost.
Agentic Loop Design: How to Define Goals and Verification Criteria That Actually Work
The quality of an agentic loop depends entirely on its stop condition. Learn how to write objective, verifiable goals that prevent runaway agent sessions.
How to Use AI Agents for Content Creation: From Research to Social Post with One Loop
Build a single agentic loop that researches a topic, writes copy, generates visuals, and schedules a social post. A practical workflow for content teams.
AI Regulation and Model Shutdowns: What the Claude Fable 5 Ban Means for Enterprise AI Strategy
The US government forced Anthropic to shut down Claude Fable 5 globally. Here's what enterprise AI builders must do to protect their workflows from model bans.
ChatGPT Scheduled Tasks: How to Automate Daily AI Briefings and Email Workflows
ChatGPT's new scheduled tasks let you run automated daily briefings and Gmail-connected email workflows. Here's how to set them up and optimize the prompts.
What Is the Creator Trust Stack? A Framework for Ethical AI Content Creation
As voice cloning and AI video improve, creators need a five-layer trust framework covering disclosure, provenance, control, judgment, and accountability.
What Is Google DeepMind's AGI-to-ASI Paper? Four Pathways to Superintelligence Explained
Google DeepMind published a paper mapping four paths from AGI to ASI: scaling, algorithmic shifts, recursive self-improvement, and group agent formation.