111 docs tagged with "AI"

What if advertising measurement came from verified physical presence instead of modelled estimates?

Text-to-3D, image-to-3D, and 3D reconstruction.

What's the decision path to a world-beating advertising platform?

Who operates at each layer of the advertising value chain.

How advertising flows from intent to action. The programmatic workflow and how DePIN data integration changes it.

What advertising tech exists, what's missing, and where does the gap create opportunity?

What if your agent could verify its own work without burning your context window?

How AI agents communicate, transact, and coordinate — the protocol layer for autonomous systems

Google's protocol for inter-agent communication and task delegation

What happens when intelligence and incentives share the same infrastructure?

Data is the new oil.

Decision checklist and adoption radar for AI browser automation tools

Four-layer playbook for helping organizations build prediction models that compound

What separates AI coding environments that amplify output from ones that slow you down?

Compute, Algorithms, and Data are the three pillars of the AI industry, where Data is the most valuable asset in the world.

Who owns the data that trains the intelligence?

What to measure. Centralized metrics vs protocol-era metrics.

What business strategy provides the best operating model for leveraging a unique data footprint?

The ABCD stack applied to data infrastructure. Each layer enables the next.

Who operates at each layer of the data value chain.

The immutable truths. Models change. Architectures evolve. These don't.

How data moves from sensor to intelligence. Five layers, each with its own protocol patterns.

How do you know your AI product is getting better?

Diagrams | Matrices | Thinkers

Large language model access and AI-assisted workflows.

What AI can do. The interfaces between intelligence and the world.

When a user reports a bad experience, can you even reproduce it?

Workflow for creating AI-generated podcasts from written content using NotebookLM and similar tools

What is critical for making meaningful progress with AI as a companion in realizing potential.

The AI problem isn't alignment — it's that humans aren't wired to engage with what's coming

What does "good" mean when the same input produces different outputs?

How do you spec a product that never gives the same answer twice?

What changes when your product thinks?

Service delivery with software economics - the playbook for productized AI agencies

How do you know an AI claim is real and not marketing theater?

Diagrams | Matrices | Thinkers

Has intelligence used humans as a vehicle to evolve itself into superior form?

Text-to-music, sound effects, and audio production AI.

Convergence of AI and Crypto.

Bittensor (TAO) and Its Subnet Ecosystem is emerging as a leading player in decentralized AI (DeAI), creating an open-source platform where participants produce various digital commodities including AI inference, training, compute power, and storage. The ecosystem is composed of distinct subnets, each focused on different capabilities.

How transformative technologies disrupt traditional business models - patterns and playbooks

AI agents on crypto rails providing businesses with expertise to optimize operations

What happens to the decisions you never wrote down?

What if your coding agent could see exactly what you see in the browser — logged in, real data, live state?

Clawbot is the managed product surface around OpenClaw, an open-source full-stack AI agent platform.

Compound AI Systems

Workflow for implementing personalized content experiences that improve conversion

How AI agents access decision context - the memory layer that makes agents useful

Proprietary domain expertise data provides a critical competitive advantage in the age of AI.

Data is like a rugby ball—you want it clean, fast, and open.

What routine checks and balances needs to be setup to manage this process optimally?

Transform raw data into machine-processable units that power intelligence.

Diagrams | Matrices | Thinkers

DePIN Investment Appraisal

How easy is it to fall into the flow for optimum productivity?

The technology stack that makes agency-based education possible.

Diagrams | Tables

Here are the key points from Eric Schmidt's talk on AI at Stanford:

Diagrams | Matrices | Thinkers

Diagrams | Matrices | Thinkers

Diagrams | Matrices | Thinkers

What happens when the tools for measuring your body become as common as the tools for measuring your time?

Who is winning the race to the bottom?

LLM Engineering

The framework for building agents to be extracted from the Truth Terminal

Machine Learning.

Manus is a general AI agent platform with consumer product UX and a developer API layer.

A library of prompts for AI-assisted marketing work. These prompts implement the Marketing Work Charts — the Human-in-the-Loop (HiTL) provides strategy and judgment, AI handles generation and optimization.

Diagrams | Matrices | Thinkers

How AI agents access external tools and capabilities

Morpheus Open Source Platform for AI Smart Agents.

A neural radiance field (NeRF) is a neural network designed to generate new views of 3D scenes from a set of 2D images.

Why do you need a framework in the first place?

Diagrams | Matrices | Thinkers

Are you doing the work — or directing the work?

Crypto isn't about speculation. It's infrastructure for coordinating capital around ideas that matter.

What happens when the gap between payment intent and settlement finality collapses to zero?

Games will become the primary marketing and advertising platforms of the future.

Pieter Levels is a self-taught developer and entrepreneur that uses a simple dev stack to launch and iterate on products ideas quickly.

Protocols, routines and habits to stay on top of the evolution of Smart Agents.

What happens when the quality of your questions determines the quality of your workforce?

How long before the prompters become the prompted?

IP attribution and value flow for AI-generated content

How physical assets generate compounding digital value

The technology stack that makes programmable property possible.

Replit

Robots are DePIN devices with expanded capability dimensions — mobile, active agents that sense, move, and manipulate the physical world

The ABCD stack applied to physical AI. Each layer enables autonomous machines.

Who operates at each layer of the robotics ecosystem.

How robots coordinate, execute tasks, and prove work. Two protocol layers: The Three Flows (execution) and Intercognitive (coordination).

AI-powered sales enablement and conversation intelligence.

The future of sales work - mapping Human vs AI responsibility for every sales job

Google and AI set to disrupt shipping industry.

Which platform makes it hardest to write a dangerous smart contract?

How small and medium businesses can leverage AI and Web3 to grow stronger communities

Tools and protocols for building a one-person business with AI leverage

How do Sui's core primitives compose with purpose-built infrastructure to enable crypto-enabled business at scale?

What will the world look like in three years?

Diagrams | Matrices | Thinkers

Owning multiple stages from data capture to workflow automation - the VSaaS strategy

Text-to-video, image-to-video, and video editing AI.

AI video creation, editing, and audio production.

Diagrams | Tables

Vision Language Models (VLMs), image analysis, OCR, and visual reasoning.

Key to robotics

What separates a prompt that returns generic stock art from one that returns exactly what you pictured?

Text-to-Speech (TTS), Speech-to-Text (STT), voice cloning, and conversational AI.

Diagrams | Matrices | Thinkers

What if your app could tell agents what it does — instead of agents guessing from the DOM?

What does the future of work look like? How will it bee incentivized?

AI writing assistance, grammar, and style optimization.