Grounded in real inputs from your coaching work.
Mentri's AI outputs are shaped by four named inputs: your coaching context, each client's context, the session transcript, and the history of interactions between sessions. This is the page that sits under every 'context-aware' claim elsewhere on the site.
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The context ecosystem
Every Mentri output — recap, nudges, Companion response, session prep, debrief — is generated from a combination of four inputs. The session transcript is the primary evidence. Around it, three context layers interpret what happened: who the coach is, who the client is, and what has happened in the relationship so far.
Companion chats feed back in. Each conversation becomes part of the interaction history and shapes future outputs — the only place in the system where an output also functions as an input.
The session transcript is the primary evidence.
The live coaching session is the core human event in Mentri, and the session transcript is its closest representation in the system. Everything downstream — recap, nudges, Companion context, session prep, debrief — reads from the transcript as its grounding input.
Transcripts are captured through Mentri Transcriber, which joins the session as an invited participant and handles recording, transcription, and upload automatically. The transcript lives on the client's timeline and feeds into each subsequent output with no manual step.
The style, methods, and direction you bring as a coach.
Coach context is set up once during Coach Onboarding and edited over time as your practice evolves. It splits into two streams, each shaping a different side of the product:
The practical shape of how you work with clients — what you focus on, how you hold space, and the kinds of change you aim for.
Shapes client-facing outputs: Client Recap, Nudges, AI Companion.
Your professional orientation and development direction — the methods and frameworks you draw on, the accreditations or certifications you are pursuing, and where you are trying to grow as a coach. Mentri tailors its coach-facing support to the standards and competencies you are working toward.
Shapes coach-facing outputs: Coaching Debrief, and practice-wide reflection tuned to what you are working toward.
How Mentri learns who each client is.
Client context is captured per client when you add them to the platform, through Client Onboarding. It splits into two streams that sit alongside each other:
The purpose of the coaching work and the client's professional picture — what brought them to coaching, where they are trying to get to, and the environment they are working in.
The practical texture of this particular coaching relationship — how the client engages, what tends to help or hinder them, and any sensitivities or constraints worth remembering.
Both streams stay editable as the relationship develops. Client context helps Mentri interpret session transcripts through the lens of who this client is, so each session connects to the wider arc of the coaching work.
The record the relationship builds over time.
Interaction history is everything that accumulates on the client's timeline between sessions: recaps you have sent, nudges the client has received and responded to, debriefs you have written for yourself, and every AI Companion chat — full transcript and AI-generated summary — alongside them.
This is the layer that turns Mentri from a session-by-session tool into a continuous record. Future outputs can read from it, so each recap, nudge, or Companion response sits inside the arc of the relationship and connects to everything that came before.
The AI Companion is the one feature that is both an output and an input: each Companion chat is shaped by the wider context system and then becomes part of the interaction history that shapes what comes next.
Four layers of continuity.
Mentri builds continuity and detects patterns at four connected layers. Different coaches find value at different layers first — for some, the most useful layer is continuity within one coaching relationship; for others, it is practice-wide visibility across many clients at once.
Continuity and shifts within one specific coach–client relationship.
Individual client themes, goals, behaviour, and follow-through.
Your style, methods, and development priorities as a coach.
Patterns across your wider practice and client portfolio.
The outputs feel specific because they are.
When Mentri says an output is context-aware, this page is what it means. Client Recap, Nudges, AI Companion, Session Prep, and Coaching Debrief are each shaped by the combined context rather than generated from the transcript alone. The same session would produce a different recap, a different debrief, and a different set of nudges for a different coach working with a different client — because the interpretive frame is yours.
This is why Mentri becomes more useful as context accumulates. Early on, outputs are shaped by onboarding inputs and the current session. Over time, interaction history joins the picture, and the outputs start to read as continuous with the arc of the relationship.
What Mentri does not do with your sessions.
Mentri does not train a public AI model on your sessions. The learning that matters is inside your workspace: your style, your clients, your relationships. That context shapes the outputs you see in Mentri, and stops there.
Mentri is hosted in the EU, with data residency on EU infrastructure. Access inside your practice is scoped to you — invited clients have their own scoped view and do not see other clients or your coach- facing materials. The full detail lives on the safety page.
Your workspace, your data, your call.
Practitioners can view, export, and delete their data at any time from the platform settings page — no support ticket required.
Export produces a downloadable archive of your full workspace as interlinked HTML pages: coach profile, uploaded documents, and per-client profiles, coaching context, transcripts, recaps, debriefs, coach notes, Companion chats, and nudges. Viewable offline in any browser. Deletion is email-verified, immediate, and permanent — the practitioner account and everything it owns are removed in full.
These tools are practitioner-only for now. Invited clients go through their practitioner for access and erasure requests.
See how this shapes every output.
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