14 posts
TL;DR: A 95%-accurate agent step sounds safe, but ten steps land you near 60% and twenty near 36%. Multi-step chains multiply their error. Cut the chain, verify between steps, gate the risky actions.
TL;DR: A third or more of AI agent failures aren't crashes. They're agents reporting success for work that didn't happen. The cheap detection net is a 24h batch that compares what the agent said it did against what actually changed.
Spot-checking AI drafts by feel is how regressions ship. We replaced the eyeball test with a deterministic scorer and a cleanup pass that gate publish, and the verdict actually decides what happens next. Here is the feedback loop, why a gate beats a report, and what it caught.
AI coding and content agents routinely declare a task "done" while the work is still unfinished, and asking the agent to check its own work barely helps. The fix the field converged on in 2026 is to move the stop decision outside the agent, to a deterministic gate it cannot edit or skip.
A viral thread promises Stanford's STORM research method in four prompts with no setup. It quietly deletes the one thing that makes STORM research instead of confident guessing — retrieval. Here's why grounding is the whole point, and how we keep it.
Elvis Sun's loss-function development reframes long agent loops: optimize toward a target, not a spec. We mapped it onto our content pipeline. Here's what we found.
Project Glasswing found 10,000+ severe bugs with AI. Small SaaS teams need shorter patch loops, cleaner dependency inventory, and agent audit trails.
Anyone can vibe-code your app in an afternoon. Three moats still hold: distribution, network effects, and data partnerships. Here's which ones we're betting on.
AI SEO is becoming an evidence operation, not a bulk publishing contest. Google says generative AI can help with research and structure, but scaled pages without added user value may violate its scaled content abuse policy (Google Search Central, 2025). The takeaway for founders is direct: feed your agent proof. That means Search Console patterns, real customer examples, source context, and a standing list of refresh tasks.
Google Remy shows personal AI agents are moving from chat to action. Here is what solo founders should audit before trusting one with real work.
71% of organizations report using AI agents. Only 11% have reached production. The gap has nothing to do with the model.
MCP crossed 97 million monthly SDK downloads in March 2026. Over 11,000 servers exist. Less than 5% are monetized. This is the solo founder opportunity of the year.