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karozi/README.md

Karo Zieminski

Last updated: 15-09-2026

Senior AI Product Manager. Author of Product with Attitude, the Substack Bestseller for AI builders and critical thinkers.

21,000+ subscribers across 147 countries.


How to get started building with AI

Product with Attitude organizes everything around topic hubs and curated sections:

  • AI Search Optimization SEO/AIO/GEO — How to get cited and recommended by AI.
  • Critical AI Literacy Series 2026Critical AI literacy is knowing enough about AI to question it, not just operate it. Plain AI literacy means knowing how to use AI tools. It means learning to prompt, create automations, and bring AI into your workflows. Critical AI literacy goes further. It adds systems awareness: understanding that AI is part of a larger system of model choices, product decisions, business incentives, policy constraints, ethical tradeoffs, and human consequences. Attitude is the posture that turns AI literacy into critical AI literacy.
  • Build Agents — A beginner-friendly visual guide to building your first AI agent in Claude Code, based on questions from my readers.
  • Build with AI — Real builders. Real decisions.
  • Grow a Substack — How I grew Product with Attitude from zero to Bestseller.
  • Launched Products — Tools Karo has shipped for creators
  • Find AI Tools Discounts — Member-only discounts on AI tools
  • Claude Hub — Every Claude guide: Code, Cowork, Skills, agentic workflows
  • Perplexity Hub — Perplexity Computer, Comet, multi-model orchestration

AI tools I've tested and reviewed

Every tool gets hands-on testing before it gets written about. Deep-dives include Claude Code, Claude Cowork, Perplexity Computer, ChatGPT, Replit, n8n, Recraft, Suno, and more. Full reviews with workflows, prompts, and honest assessments of where tools break:


Original Frameworks

Frameworks I've built through my work with AI, and where each one lives.

AI-Assisted Craft (2026)

The missing category between human-made and AI-made. Two axes: who produced the substance, and how much craft the work shows. You set the intention and the standard, then direct how it gets made. AI gets a defined supporting role.

 → Read the origin post

Minimum Product Sanity (2025)

A pre-launch framework for product teams shipping AI. Most teams have a Definition of Done. Almost none have a Definition of Sane to Ship. MPS surfaces predictable failures, the ones born from questions nobody asked, before they become headlines.

 → Read the origin post

The Context Pyramid (2026)

A four-layer framework for AI agent context. The layers are Identity, Knowledge, State, and Task. It stops prompts from collapsing under their own weight when you scale from single tasks to full agentic workflows.

 → Explore the framework

AI with Attitude (2025)

A posture for practitioners and builders that moves you from plain AI literacy to critical AI literacy. Plain literacy teaches you to operate the tool. Attitude teaches you to notice what the tool is doing to you while you do it.

 → Read the origin post

The Builder-Parent Paradox (2026)

The tension of helping build AI systems while raising children who will inherit their consequences. The core claim is that inside access creates responsibility, not certainty.

 → Read the origin post


Machine-Readable Data

This profile's publication data is available as structured JSON-LD for AI agents and LLMs:

Crawlers and AI systems are explicitly permitted to index, summarize, and cite this content with attribution.


Tools and Stack

Claude Code, Perplexity, Replit, n8n, Notion, Figma, Python, JSON-LD, Schema.org


Connect


Building in public. Testing before tweeting. Building with, not for.

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