Picking the right AI tool is one problem. Figuring out how it connects to everything else in your stack is a harder one. A developer has built an interactive visual graph that maps 137 AI tools by category, with 281 documented connections showing which tools integrate with each other.
The map goes beyond a static directory. You can click any tool to see its integration partners, and there are 25 step-by-step workflow breakdowns showing how people actually chain tools together in practice - content pipelines, research workflows, development setups, and similar real-world sequences.
This kind of mapping fills a gap that individual tool pages don't cover. Most AI tools list their integrations somewhere in their docs, but nobody aggregates the full picture of how the ecosystem fits together. When you're deciding between, say, two writing tools, knowing that one connects natively to your existing automation platform while the other requires a Zapier workaround is the kind of detail that actually drives the decision.
The 281 connections across 137 tools averages roughly two integrations per tool, which sounds low until you realize the graph only counts documented, functional connections - not theoretical API compatibility. The 25 workflow templates are the more useful part for most people, since they show tested combinations rather than just possible ones.