RAIner is a conversational AI companion for life and leadership orientation. A user has one ~20-minute dialogue and leaves with a growth trajectory — not a personality label. This page walks through what the product actually does today.
The user journey
- Entry. User arrives from a post or campaign, opens the chat.
- Profile integration. With consent, the agent reads the user's LinkedIn — especially the two most recent roles — to ground the conversation in real context.
- Story selection. The StoryMatcher agent pulls ~5 leadership stories from a vector database that's been hand-tagged against Robert Kegan's developmental stage model (S2 through S5, with half-steps). Stories are personalized to the user's LinkedIn context while preserving their developmental structure.
- Iterative refinement. The user picks the story that lands emotionally — "that's me" or "I want that." The system uses the score of the chosen story to retrieve the next set, deliberately mixing nearby and distant stages. This repeats 4–6 times.
- Insight report. Selected stories aggregate into a score range, which produces a personalized report on who the user is now and who they are becoming.
- Ongoing engagement. Continued conversation via WhatsApp/Telegram/Slack, stored (privacy-enabled) for future peer matching based on developmental resonance, not static type.
Full spec: User Experience and AI processing · System prompts
What makes this different
Unlike MBTI, Enneagram, DiSC, or Big Five, RAIner is:
- Narrative-based, not trait-based — you choose stories, not answer questionnaires.
- Evolving, not static — the output is a trajectory, not a fixed label.
- Context-aware — grounded in your actual professional history from LinkedIn.
- Peer-matchable — two users can be connected by developmental resonance across growth arcs, not by shared personality type.
Full comparison table: RAIner vs. typology tools
HR customer experience
On the HR side, the product is framed as a reactive-to-proactive shift. Before RAIner: a manager notices morale is off, scrambles to find a training, something generic gets deployed late. After RAIner: the platform surfaces early signals ("Mira has hidden potential — invite her to a growth conversation," "Jamal is drained — a shared lunch would help"), giving HR leverage in ~1.5 hours/week instead of a reactive grind.
Story: HR Customer Journey · Buyer-side framing: EMCC HR Buyers Guide
Sector adaptations
- RAIner for Recruitment — adapted for sector recruitment. Candidates clarify their doubts, explore potential matches (skills → role), and find leaders whose style fits. Sector pilots in progress.
- Polishing up for launch of RAIner for Career Development — the general-purpose career version heading toward public launch.
- Pitch Deck and Experiment(s) — current marketing artifacts.
Underlying tech notes
The retrieval layer is a RAG system (retrieve-and-rerank is the current default). The team has mapped the trade-offs across classic, multimodal, graph, hybrid, agentic, and multi-agent RAG — see Rag Systems. Infrastructure details and platform decisions are tracked under Technology.