The agent vertical should launch rich, not broad
The parallel-launch strategy only works if /agents feels curated on day one. That does not require hundreds of products. It requires enough real products, enough repeated tool signals, and enough editorial context that visitors can understand the shape of the category quickly.
What makes the vertical feel real
The minimum ingredients are simple:
- real approved products with evidence-backed tool mappings
- a four-part taxonomy that shows frameworks, providers, infrastructure, and platforms
- a handful of editorial pages that explain why those layers matter
That combination is more useful than a large but noisy list.
What to avoid
The fastest way to weaken the new vertical is to fill it with vague AI products that are not clearly agent-powered. The second-fastest way is to create empty browse pages without enough examples or explanation behind them.
The better approach is the same one the current site already uses elsewhere: keep thresholds, keep curation strict, and let the taxonomy expand only where there is real evidence.
The underlying principle is density before taxonomy sprawl. A small vertical can still feel credible if the same products repeatedly strengthen several surfaces at once: product pages, tool pages, stack pages, and a handful of editorial articles. That is a much better launch posture than opening dozens of thin category pages that only exist because they sound right on paper. Visitors forgive a curated vertical for being selective. They do not forgive it for feeling empty.
That is also why the editorial pages matter so much in the early phase. They are not there to compensate for weak catalog quality. They are there to help visitors understand why the current evidence set already supports a framework layer (LangChain, CrewAI), a provider layer (Claude), and an infrastructure layer (Pinecone, n8n). If those pages stay tightly tied to approved products, they make the /agents hub feel intentional long before it feels large.
Browse the directory: LangChain → · CrewAI → · Claude → · Pinecone → · All agents →