Insights for AI builders
Tutorials, product updates, and ideas to help you build and ship AI applications faster.
Subscribe via RSS
Perplexity's Comet Browser Is a Semantic Work Graph Play — Not Just a Search Replacement
Perplexity's Comet isn't competing with Chrome on features — it's trying to own the semantic meaning layer across all your work. Here's the strategic logic.
Recursive Self-Improvement: The AI Risk That Keeps Researchers Up at Night
Recursive self-improvement could compress decades of AI progress into weeks. Learn what it is, why it matters, and what frontier labs are doing about it.
How to Run Claude Code Automations 24/7 Without Burning Your Daily Session Limits
Claude Code automations now run separately from your knowledge-work sessions. Here's how to set up always-on routines in under 10 minutes.
Sam Altman Says 'Augment' — Dario Amodei Says 'Bloodbath.' Which AI CEO Is Right About Jobs?
Altman tweets 'augment, not replace.' Amodei warns of 10-20% unemployment. Two CEOs, same industry, opposite public positions. Here's the evidence for each.
SAP Is Blocking AI Agents. Salesforce Is Welcoming Them. One of These Strategies Will Win.
SAP is actively blocking agents from its platform. Salesforce is going headless and MCP-first. Here's why one of these enterprise strategies will dominate.
Stripe Atlas: 130% More Startups in Q1 2026 — 5 Numbers That Show AI Is Creating Founders, Not Killing Jobs
Stripe Atlas hit 100,000 all-time incorporations with a 130% YoY spike in Q1 2026. The data suggests AI is minting entrepreneurs faster than eliminating roles.
Stuart Russell's Cancer Cure Thought Experiment Explains Why AI Alignment Is So Hard
Stuart Russell's illustration: an AI told to cure cancer might run experiments on millions of humans as the fastest path.
SubCube's 12M Token Layer for Claude Code and Codex: What a Sparse Attention Plugin Would Actually Change
SubCube plans a long-context layer that plugs into Claude Code and Codex. Here's what 12M tokens of coding context would actually unlock for agent workflows.
SubCube Claims 12M Token Context at 5% of Opus Cost — 5 Numbers Behind the Sparse Attention Breakthrough
SubCube's SSA architecture claims 12M tokens, 52x Flash Attention speed, and sub-5% Opus cost. Here are the five numbers and what they'd mean if true.
SubCube SSA vs. Claude Opus 4.7 — Benchmark Claim With No Technical Report. Should You Trust It?
SubCube claims near-Opus 4.7 performance at 5% the cost — but there's no technical report yet. Here's how to evaluate the claim and whether to request access.
What Are Semantic Work Primitives? The Missing Layer in AI Agent Design
Semantic work primitives give AI agents the meaning behind actions—not just access. Learn why this layer matters more than computer use or MCP servers.
What Is the AGI Alignment Problem? Why AI Safety Researchers Are Worried
The alignment problem is why even a simple AI goal can lead to catastrophic outcomes. Learn what it is, why it's unsolved, and why it matters now.
What Is the Browser War in AI? Why Perplexity, OpenAI, and Google Are Fighting for Your Tabs
The AI browser war is about who controls the semantic layer of your work. Learn why owning the browser matters more than owning the model.
What Is Compute as an Asset Class? Why AI Infrastructure Is the New Oil
AI compute is scarce, standardized, and price-volatile—making it a candidate for futures trading. Learn why compute is becoming a new asset class.
What Is Iterative Deployment? OpenAI's Strategy for Releasing AI Safely
Iterative deployment means releasing AI early and often so society can adapt. Learn why OpenAI chose this path and how it differs from Anthropic's approach.
What Is an LLM Knowledge Base? How Karpathy's Wiki Architecture Works
Karpathy's LLM wiki turns saved content into a searchable, AI-powered knowledge base. Here's how the architecture works and how to build one.
What Is Multi-Variation Generation in AI Agents? How to Surface Better Decisions
Multi-variation generation has AI agents produce multiple options upfront instead of forcing users to ask for alternatives. Here's how to implement it.
Why Most AI Agents Fail in Production: The 3-Layer Framework Every Builder Needs to Know
Access, Meaning, Authority — the three layers that separate demo-worthy agents from production-ready ones. Here's the framework and where most agents break.
Coding Agents Arrived Before All Other AI Agents for One Specific Reason — And It's Not What You Think
It's not that code is text. It's that software dev already has unusually rich semantic feedback: tests, compilers, linters.
Why Coding Agents Succeeded First: The Semantic Feedback Advantage
Coding agents work because code has rich semantic structure—tests, types, and feedback loops. Learn why this matters for building agents in other domains.
11 Labs Voice Agent via API: 4 Components Claude Code Configures Without You Touching the Dashboard
Persona, voice, knowledge base, tools — all four 11 Labs agent components configured entirely through Claude Code. Here's the full API-first workflow.
How to Build an AI Ad Creative Agency Pipeline with Claude Code and Higgsfield in an Afternoon
Claude Code + Higgsfield CLI + Google Sheets as a production database. Here's the full pipeline for autonomous ad creative generation on a schedule.
The Permission Ladder: How to Grant AI Agents the Right Level of Autonomy
From read-only to fully autonomous, the permission ladder helps you decide how much control to give AI agents without breaking trust or causing errors.
Your AI Agent Is Underperforming: Run This 4-Question Harness Audit Before Switching Models
Before you upgrade your model, run this 4-question audit on your orchestration layer. Most performance problems live there, not in the weights.