Workflow-Automatisierung

Someone Mapped 137 AI Tools and Their Real Workflows — Here’s What They Found TL;DR A developer took on the ambitious task of mapping 137 AI tools and the 281 connections between them, packaging everything into an interactive resource called The Stack Map. The project covers 25 real-world workflows showing how tools actually fit together in practice — not just in theory. It’s free to use, and it’s getting traction in the AI community as a practical alternative to the usual “best AI tools” listicles. If you’ve ever stared at a blank screen wondering how Cursor, n8n, Claude, and your data warehouse are supposed to work together, this might be the reference you’ve been missing. ...

The Most Underrated Ways Businesses Are Actually Using AI Right Now TL;DR A Reddit thread asking about underrated AI use cases for real business tasks sparked 86 comments and genuine community discussion about how companies are quietly leveraging AI in ways that don’t make the headlines. The conversation reveals that the most impactful AI applications aren’t always the flashiest ones — they’re the boring, repetitive, behind-the-scenes workflows that suddenly become frictionless. From automating data updates via Telegram bots to generating presentations in seconds, the real ROI often hides in the mundane. If you’re still thinking AI is just for writing blog posts, you’re missing the bigger picture. ...

LLM API Token Costs: At What Scale Do They Start Hurting Your SaaS? TL;DR LLM API costs can seem negligible at first, but they have a nasty habit of sneaking up on you as your user base grows. The SaaS community on Reddit has been wrestling with exactly when token costs become a real business problem — and the answer depends heavily on your use case, model choice, and pricing strategy. Self-hosting alternatives like RunPod and Lambda Labs exist, but they come with their own tradeoffs. If you’re building anything LLM-powered, you need to think about cost architecture before you scale, not after. ...