Why 88% of AI Pilots Never Ship — And a Five-Dimension Readiness Scorecard
Only 7% of enterprises say their data is ready for AI. A scorecard for data, ownership, process fit, governance and measurement — and what to do about your lowest score.
Only 7% of enterprises say their data is ready for AI. A scorecard for data, ownership, process fit, governance and measurement — and what to do about your lowest score.
Logging the response tells you nothing about why the agent got there. Span-level tracing with OpenTelemetry GenAI conventions, and the four metrics that actually change decisions.
MCP became the integration layer for agentic AI faster than anyone governed it. Tool poisoning, rug pulls and confused deputies — and the gateway architecture that contains them.
The Digital Omnibus pushed high-risk obligations to December 2027 — but Article 50 transparency still lands on 2 August 2026, and it touches almost everyone.
ACP, AP2 and x402 are not rivals — they solve different halves of the same problem. A practical read on what merchants and B2B sites should implement first.
WebMCP is a Community Group draft, ACP is in beta with no discovery mechanism, Web Bot Auth has no adopted document. What you can actually implement today.
nosnippet and max-snippet do affect AI Overviews, FAQPage has been deleted from the gallery, and no vendor documents how a passage is chosen. Only what is officially documented.
llms.txt, sitemap, schema and well-known. I went through the official documentation from Google, OpenAI, Anthropic, Perplexity and Microsoft: what is actually read, and what is only promised.
The only public measurement found that major AI crawlers do not execute JavaScript. How to check in two minutes what actually leaves your server, and what to do if the
Training crawlers and answer-time fetchers are two different families with separate user-agents. Who to block, who to leave open, and how to verify in the log that it actually works.
In 1984, NASA sent 3,300 honeybees into space to find out whether they could still build honeycomb without gravity. The answer they gave matters to anyone who owns a website
The break-even between self-hosting and an API, why GPU utilisation decides everything, what the calculation leaves out, and why routing by task beats a binary decision.
The approval point is set by reversibility and damage, not by model confidence. Four approval patterns, what belongs on the approval screen, and how to stop it becoming a rubber
Ordinary software testing does not work on AI agents. The full guide to building an eval set, four levels of measurement, regression testing and production monitoring.
Agent boundaries live in the permission model, not the prompt. Meta Rule of Two, a four-layer permission model, prompt injection in practice, and the list of actions an agent never
An AI agent is a loop of planning, action and observation, built from four components: model, tools, memory and control. What actually runs under the hood, what MCP changed, and
Six levers for reducing inference cost, ranked by return on effort: prompt caching, model routing, batch, output shortening, semantic cache and distillation — and the right order to apply them.
95 percent of enterprise GenAI pilots never reach the income statement. Four layers of ROI, a six-week pilot structure, and four signals that justify closing early.
Per seat, per usage or per outcome: how to price a product built on an LLM when gross margin sits at 50-60 percent and 5 percent of users drive 80
Build versus buy is not binary. Five possible routes, the three lenses that decide between them, when fine-tuning genuinely pays, and why an abstraction layer is the one decision to