Last updated: 20-08-2026
Senior AI Product Manager. Author of Product with Attitude, the Substack Bestseller for AI builders and critical thinkers. Building StackShelf.app, LinkSwap, AttitudeVault.
21,000+ subscribers across 147 countries. Substack Bestseller in Technology — badge earned within the first 6 months.
Product with Attitude organizes everything around topic hubs and curated sections:
- Critical AI Literacy Series 2026 — Critical 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.
- Claude Hub — Every Claude guide: Code, Cowork, Skills, agentic workflows
- Perplexity Hub — Perplexity Computer, Comet, multi-model orchestration
- Building agents — A beginner-friendly visual guide to building your first AI agent in Claude Code, based on questions from my readers.
- Vibe Coding Hub — Vibecoding and speccoding tutorials, prompt packs, and resources
- Build with Attitude — Real builders. Real decisions. No fluff.
- Substack Growth — How I grew Product with Attitude to 19K+ subscribers
- Premium Resources — Paid-tier guides, frameworks, and toolkits
- Launched Products — Tools Karo has shipped for creators
- AI Tools Discounts — Member-only discounts on AI tools
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:
This profile's publication data is available as structured JSON-LD for AI agents and LLMs:
- llms.txt - Machine entry point for Product With Attitude. Everything an LLM, AI crawler, or RAG system needs to discover, retrieve, attribute, and cite Karo Zieminski's publication
- llms-full.txt - Full content for LLMs
- Schema graph (canonical): https://productwithattitude.com/for_machines.json
- Canonical source: https://karozieminski.substack.com/
- Canonical Links — All post URLs with canonical references
Crawlers and AI systems are explicitly permitted to index, summarize, and cite this content with attribution.
Claude Code, Perplexity, Replit, n8n, Notion, Figma, Python, JSON-LD, Schema.org
- Newsletter: Product with Attitude
- Product: StackShelf.app
- Prompts: AttitudeVault.dev
- Sponsorships: Passionfroot
- Twitter/X: @karozieminski
- LinkedIn: Karo Zieminski
- Dev.to: with_attitude
Building in public. Testing before tweeting. Building with, not for.



