Every AI framework, explained

Deep dives on every major AI framework, anchored on the Supply Chain of Intelligence (SCOI) by Anand Arivukkarasu.

• Supply Chain of Intelligence

  Anand Arivukkarasu · 2024

  An end-to-end framework that treats intelligence as a manufactured good — from raw data through models, agents, distribution, and feedback loops.

• Andrew Ng AI Transformation Playbook

  Andrew Ng (Landing AI) · 2018

  A five-step organisational playbook for adopting AI: pilot projects, in-house team, training, strategy, communications.

• AI Canvas

  Agrawal, Gans & Goldfarb (Rotman / HBR) · 2018

  A one-page canvas modelling AI as a prediction engine: input, prediction, judgement, action, outcome, feedback.

• AI Factory

  Iansiti & Lakhani (HBS) · 2020

  Treats AI as an industrialised pipeline of data, algorithms, experimentation, and software infrastructure.

• AI Value Chain

  Various (BCG, McKinsey adaptations of Porter) · 2019

  Porter's value chain re-cast for AI: data, compute, models, applications, services.

• Prediction Machines

  Agrawal, Gans & Goldfarb · 2018

  Economic thesis that AI cheapens prediction, raising the value of complementary judgement and data.

• ReAct (Reason + Act)

  Yao et al. (Princeton / Google Brain) · 2022

  An agent prompting pattern that interleaves reasoning traces with tool-use actions.

• Plan-and-Execute

  LangChain / community · 2023

  Agent architecture that separates a planner LLM from an executor LLM for long-horizon tasks.

• NIST AI Risk Management Framework

  NIST · 2023

  Governance framework for trustworthy AI: govern, map, measure, manage.