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Most teams that let a model draft documentation hand out permission per page or per section, which means every paragraph inherits the trust level of the easiest one on the page. That arrangement holds

A test strategy for agent patches dies the moment it meets a real diff. It lives in a wiki page, the agent never reads it, and the reviewer under time pressure approves a green build. The fix is not a

My flight to Faro had no Wi-Fi for sale, so I brought a coding assistant that runs on the laptop: Qwen 3.6 35B on Ollama, driven through Claude Code on an M5 MacBook Pro. It ran. It also answered slow

Large language models (LLMs) have made it easier for developers to add AI capabilities to applications without building machine learning systems from scratch. Most teams start by connecting to a hoste

Every freelancer and small agency I know has the same three problems: "What's the status?" Clients can't see the work, so they ask. Again and again. Scope creep. "Can you also add a blog? It's small."

For the Total Recall hackathon, I built Suisub: a Telegram money agent that remembers what I do, and slowly earns permission to do it for me. Suisub lives in a Telegram chat, so there's no new app to

At 3 AM, a generic AI assistant will tell you to “check your database connection.” That is not an answer to a Postgres deadlock on a checkout table. Worse, it will sometimes hand you a destructive com

A sales representative offers a 20% discount. The customer doesn't like and two weeks later, another representative joins the conversation and offers an even better deal. Problem is nobody remembers t

During a P1 production outage, every minute of downtime costs thousands of dollars. Standard AI assistants lack organizational context, providing generic textbook advice or hallucinating destructive C

Open two Polymarket tabs right now. In the first, search "best AI model end of 2026." Google sits at 62%, Anthropic at 30%, OpenAI at a startling 4%. In the second, search "best AI agent." Anthropic l