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karozi/README.md

Karo Zieminski

Senior AI Product Manager. Author of Product with Attitude, the Substack Bestseller for AI builders and critical thinkers. Building StackShelf.app, LinkSwap, AttitudeVault.

19,000+ subscribers across 146 countries. Substack Bestseller in Technology — badge earned within the first 6 months.


How to get started building with AI

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

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:


Machine-Readable Data

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

  • for_machines.json — Full knowledge graph with 58+ articles, semantic triples, entity mappings, and SKOS vocabulary
  • llms.txt — Crawler-friendly index following the llms.txt standard
  • Canonical Links — All post URLs with canonical references

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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  1. karozi karozi Public

    GitHub profile README

    2

  2. Awesome-Vibecoding-and-Speccoding-Resources Awesome-Vibecoding-and-Speccoding-Resources Public

    Awesome Vibecoding and Speccoding Resources repo—a living collection of checklists, guides, and practical tools for creators, product managers, and AI builders. Whether you’re vibecoding, spec-driv…

    27 6

  3. Product-with-Attitude-by-Karo-Zieminski-For-Machines Product-with-Attitude-by-Karo-Zieminski-For-Machines Public

    Machine-readable index of Product with Attitude content for AI agents. Complete archive of vibecoding guides, spec-driven development, and StackShelf resources with structured metadata for LLM disc…

    Python 2