Insights

Field reports on AI delivery reality, the verification gate that keeps agent output safe to ship, and buyer guidance for separating real tools from slop.

The Code Factory Needs a Foreman

Hundreds of agents now code around the clock — but the unattended factory that ships to production on its own does not exist. Why verification, not generation, is the real constraint.

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AI is a Confidence Amplifier

AI removes the friction that used to tell people they were out of their depth. The cliff is still there — they just can't see it anymore. What METR, Dunning-Kruger research, and a year of vibe-coding incidents reveal.

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Chatbot or MCP Server

The default AI feature is a chat panel pinned to the right of the product. For most SaaS teams, that's the wrong place to start. Why MCP server first wins on composability, cost, and discipline.

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Why AI Agents Need Specifications

Spec-Driven Development frameworks promise structure but mostly deliver overhead. What actually works for production teams using AI agents.

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The AI Reckoning

When the supply side admits the demand side was right. 56% of CEOs report no significant financial benefit from AI as the hype meets reality.

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AI Slop & ChatGPT Skins

A buyer's guide to not wasting money. How to spot the 90% of AI products that are just dressed-up API wrappers sold at enterprise prices.

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The $1 Trillion Reality Check

Why 95% of companies see zero returns on AI investments despite tens of billions spent. The collision of market panic and operational reality in 2025.

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Why Broad Fluency Now Beats Deep Specialisation

How AI is democratising software development by making cross-technology fluency accessible to all developers.

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Model Context Protocol

One open standard so an AI assistant can reach any data source, instead of a bespoke integration per system. What MCP actually changes for integration work — and what it does not.

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CI/CD & QA for AI

AI can generate a function in minutes — and ship its bugs just as fast. Why CI/CD pipelines and automated QA, not raw generation speed, decide whether AI-assisted code reaches production safely.

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What AI Is and When It Is Worth Using

AI is a toolbox, not a miracle cure. What it is good for, what it is not, and the verification-cost test for telling the difference.

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