Resources
Working notes from the FutureInSites practice on enterprise AI strategy, the AI vendor landscape, and the economics of AI infrastructure.
A categorized reference of AI companies, from frontier model labs to applied AI software. 200+ vendors across 14 categories. Built for executives evaluating where to invest, partner, or build.
View the Landscape →A practical reference of plugins, skills, and MCP servers worth installing on top of your AI platform. 24 bolt-ons across 3 categories. Curated from what FutureInSites has tested firsthand.
View the Bolt-Ons →What AI actually is, what it can do, and where it creates value for leaders who don't code. The start-here primer in the FutureInSites series, written for executives and board members.
Read the article →Generative AI is not a sudden breakthrough. It is the scaling of six decades of stacked advances in data science and machine learning. A short history of how today's LLMs got here, and what comes next.
Read the article →A production AI agent rests on eight discrete decisions: scope, prompt design, model choice, tools, memory, orchestration, interface, and evaluation. A short executive walkthrough of each step.
Read the article →A free, build-your-own job-search agent that triages, scores, tracks, and plans your search against a single source of truth you own. Build it on ChatGPT, Claude Chat, or Claude Cowork. Comes with the full instructions, the code, and a step-by-step guide.
Build your own →Set up your own personal AI agent on a repurposed Windows laptop with OpenClaw. This 10-step guide covers hardware prep, installation, cost hardening, and remote access. The essentials to get you running, with a teaser into what a fully-supported setup looks like.
Read the guide →