Tool comparisons, from real builds.
Direct comparisons of the tools we evaluate on every engagement. Each comparison includes a decision framework, a side-by-side table, and the rules we'd use to pick on a real project.
- 01n8n vs Make.com
n8n vs Make.com for AI workflow automation in 2026
n8n vs Make.com: which workflow tool wins for AI-powered automation. The decision framework we use on every engagement, with a clear cost/control tradeoff.
- 02Vapi vs Retell
Vapi vs Retell for AI voice agents in 2026
Vapi vs Retell: which voice agent orchestrator wins for production. Latency, observability, cost, and the practical reasons we default to one or the other.
- 03Anthropic Claude vs OpenAI GPT
Anthropic Claude vs OpenAI GPT for production AI in 2026
Claude vs GPT in production: where each model wins, where they're functionally identical, and the decision rules we use on real engagements.
- 04Pinecone vs pgvector
Pinecone vs pgvector for production RAG in 2026
Pinecone vs pgvector: which vector store is right for your RAG workflow. Cost, latency, operational complexity, and the practical decision framework.
- 05Intercom Fin vs Custom RAG chatbot
Intercom Fin vs custom RAG chatbot: which to build in 2026
When the off-the-shelf chatbot (Intercom Fin, Decagon, Ada) wins vs when a custom RAG chatbot pays back. The decision rules from the engagements we've shipped.
Send us your most expensive operation.
We'll have an audit on your desk in five days.
One PDF. No deck. No obligation. We'll tell you whether AI is the right answer for it — and if it is, we'll quote the build the same week.