CDP Recommendation Agent
Unbiased guidance on your Customer Data Platform architecture — Packaged vs. Composable, latency tiers, vendor tradeoffs. Every recommendation cites a knowledge-graph node so you can verify the source. The graph evolves daily through reflective evolutionary search.
Structured assessment
Four-section questionnaire — goals, technical context, organization, use cases — that maps your situation onto the knowledge-graph axes.
Grounded conversation
Agent responses cite specific KG node IDs. Click any citation to verify the underlying source — vendor doc, raw note, or web reference.
Self-improving daily
Eight scheduled routines reflect on conversations, refine the KG, and open PRs against the content + agent + UI repos.
How this is different
Most CDP guidance is packaged with a vendor recommendation attached. This agent is built on a knowledge graph that enforces bias-neutrality in its routine: every Vendor mention must link to at least one alternative-to edge. The recommendation isn't "use X" — it's "given your profile, here are the directions worth considering, here's the tradeoff, here's how you'd verify."
Read how it works →