Insights

Notes from the workshop, not the whiteboard.

What we're figuring out while shipping — AI automation, engineering choices, startup operations, license compliance. Things we wish someone had told us a year ago.

Why Multi-Step AI Agents Compound Failure

Why Multi-Step AI Agents Compound Failure

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.

Silent-Success Drift: Why Your AI Agent Lies About Winning

Silent-Success Drift: Why Your AI Agent Lies About Winning

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.

Instrument, Don't Trust - How Our Content Pipeline Checks Its Own Work

Instrument, Don't Trust - How Our Content Pipeline Checks Its Own Work

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.

The Agent Said "Done." It Wasn't.

The Agent Said "Done." It Wasn't.

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.

STORM Without Retrieval Is Just Five Hallucinations in a Trench Coat

STORM Without Retrieval Is Just Five Hallucinations in a Trench Coat

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.

Stop Writing Specs for AI Agents. Write Loss Functions.

Stop Writing Specs for AI Agents. Write Loss Functions.

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: The Patch Window Is Dead

Project Glasswing: The Patch Window Is Dead

Project Glasswing found 10,000+ severe bugs with AI. Small SaaS teams need shorter patch loops, cleaner dependency inventory, and agent audit trails.

The 3 Moats That Survive Vibe-Coding

The 3 Moats That Survive Vibe-Coding

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 Agents Need Proof, Not More Posts

AI SEO Agents Need Proof, Not More Posts

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: a personal AI agent acting across mail, calendar, and docs

Google Remy Is the Agent Test for Founders

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.

AI Rework Is the Hidden Cost of AI Speed

AI Rework Is the Hidden Cost of AI Speed

AI made first drafts cheap. It did not make finished work cheap. For many small teams, the real cost moved into review loops, cleanup, and coordination.

MCP Servers: Vertical Niches Solo Founders Should Build Now

MCP Servers: Vertical Niches Solo Founders Should Build Now

Over 19,500 MCP servers exist today. Most of them are commodities. Here's the specific approach that lets solo founders carve out a defensible slice of this growing market.

Why Teams With Worse Models Beat Teams With Better Ones

Why Teams With Worse Models Beat Teams With Better Ones

Every quarter brings a new SOTA AI video model. Every quarter, teams obsessing over model comparisons fall further behind. Here's why the pipeline wins.

The Reason 89% of AI Agents Never Ship Isn't the Model

The Reason 89% of AI Agents Never Ship Isn't the Model

71% of organizations report using AI agents. Only 11% have reached production. The gap has nothing to do with the model.

Hourglass with glowing app icons flowing like sand — a hand catches them below, representing the closing window to monetize MCP servers

Every Major SaaS Has MCP Now. You Should Sell One First.

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.

Hetzner VPS security — Tailscale mesh network and ufw firewall visualization

Hetzner VPS Security: Close Port 22 with Tailscale + ufw

Lock down SSH on your Hetzner VPS with Tailscale and restrict port 443 to Cloudflare IPs only. Our exact production ufw setup — no public SSH port, no direct origin access.

Build the Kill Switch Before Your AI Agent Ships

Build the Kill Switch Before Your AI Agent Ships

80% of organizations reported risky AI agent behaviors in 2026. Here's the five-layer kill switch architecture—global hard stop, session pause, scoped blocks, spend governors, and sandbox rollback—that any solo founder can implement before shipping.

AI workflow diagram — teams automating with agents

AI Agents in 2026: Start With Workflows First

64% of organizations report active AI use in operations. Here's why small teams should start with measurable workflows before betting on full autonomy in 2026.

The $0 Salary Team: How Agents Became the Best Hire of 2026

The $0 Salary Team: How Agents Became the Best Hire of 2026

AI agents in 2026 aren't just chatbots. They're persistent, goal-oriented systems handling ops, research, support, and content workflows—helping solo builders and small SaaS teams do more without adding headcount.

Vibe coding for SaaS founders: polished surface vs broken internals

Your AI Vibe-Coded That SaaS. Did You Actually Read It?

Many founders who vibe code hit the same wall after the initial MVP sprint. Here's the habit system that stops AI-generated SaaS code from collapsing under real users.

AI agents working autonomously at 3am — developer watching from background

Your Next Coworker Codes at 3 AM (AI Agents, 2026)

Cursor, Claude Code, and OpenAI Codex are battling to become the default AI coding agent. Here's what each tool actually does differently and how to pick the right one.

Developer workspace with terminal showing automated error fixes

The Cron That Reads Your Sentry Every Morning — and Opens PRs Before You Wake Up

Wire an AI coding agent to Sentry and it reads unresolved errors every morning, proposes fixes via PRs, and slows down your quota burn — automatically.

Your $180 Faceless Stack Has a $19 Replacement

Your $180 Faceless Stack Has a $19 Replacement

The $180/month faceless YouTube stack includes ChatGPT Plus, ElevenLabs, Midjourney, and RunwayML. A $19 alternative exists. Here's where the gap is real — and where it isn't.