AI Build Week

April 2, 2026 · Episode Links & Takeaways

Author

AI Daily Brief
April 02, 2026

BUILD WEEK

Due to family travel this week features a series of shows with a more practical slant instead of the usual daily news. There’s a range of topics looking at adoption trends, bootstrapping AI use as well as higher level skills. Regular content will resume next week but for now enjoy the AI Daily Brief’s Build Week.

The State of AI Q2: AI’s Second Moment

This is a big-picture quarterly retrospective covering everything that happened in the first three months of 2026 and what it means going into Q2. The central argument is that Q1 2026 was AI's "second moment" — comparable in significance to the original ChatGPT launch — defined by the arrival of workable agentic systems, the explosion of OpenClaw, and the race by every major AI product to absorb its features. The episode covers the model landscape, the SaaS market carnage and revenue boom happening simultaneously, the state of enterprise AI adoption across functions, data from the show's monthly usage pulse surveys (including the notable shift from "time savings" to "new capabilities" as the dominant source of AI value), and the growing political volatility around AI — from the Anthropic/Pentagon standoff to the White House's legislative framework. The full 87-slide report is available at q2.aidbintel.com.

The Ultimate AI Catch-Up Guide

Designed explicitly for people who feel behind on AI — and ideal to share with friends, family, or colleagues just getting started — this episode is a ground-up introduction to what AI actually is and how to start using it effectively. It covers the basics of models and why using the wrong model is the most common beginner mistake; debunks the most persistent misconceptions; explains the key mindset shifts required; and offers a practical five-use-case starter template — research, analysis, strategy, writing, and images. To give a tangible project to get started, new AI users are challenged to go build something with a vibe coding tool like Lovable or Replit today, and given a candid rundown of the real pitfalls to watch out for.

Introducing Maturity Maps - A New Way to Measure AI Adoption

This episode introduces a new framework we’ve been working on at our enterprise AI strategy firm, Superintelligent — Maturity Maps. Mature Maps are a benchmarking tool that shows organizations where they stand on AI adoption relative to peers, across ten enterprise functions. The core problem it addresses is that most companies are flying blind — they may be seeing positive results from AI without knowing whether they're ahead or behind their industry. The episode walks through the framework's five pillars (strategy, use case adoption, deployment depth, governance, and workforce readiness), rates each of ten functions from significantly behind to significantly ahead, and surfaces some striking findings: customer service is the canary in the coal mine for AI-without-investment-in-people; sales has an "adoption mirage" (88% say they use AI but only 24% have it in revenue workflows); finance knows how to govern AI but hasn't figured out how to use it. Listeners can take an 18-question quiz at besuper.ai/quiz to see how their own organization compares.

Agent Skills Masterclass

A practical, deep-dive follow-up to an earlier skills primer episode, this masterclass features Nufar Gaspar walking through a five-level framework — from Skills Apprentice to Skills Architect — giving listeners the actual operator playbook for building, testing, and scaling agent skills inside their organizations. The episode covers what skills really are, why they're already the de facto standard across 44+ tools, critical security warnings around third-party skills, and the most common mistakes that make skills fail. The advanced sections cover chaining skills into pipelines, agentic loops, and multi-agent orchestration, before closing on the organizational opportunity: how leading companies are running skill hackathons, maintaining shared skill libraries, and building department-level plugins in Claude Cowork to standardize work at scale.