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Coach is the in-product conversational assistant your users talk to when they need clarity on what is happening in their business and what to do next. In the current app experience, users ask free-form questions, get guided answers in chat, open linked detail views, and continue with follow-up prompts that turn insight into concrete next steps.

What’s new in v1.5.12

v1.5.12 makes Coach faster for common questions and account-aware for same-currency multi-account users.
  • Coach can reason over multiple connected same-currency bank accounts.
  • Internal transfers between connected accounts are not treated as business income or spending.
  • Common question types use a faster response path while preserving answer quality for deeper transaction analysis.
  • Streaming responses, saved history, citations, follow-up questions, and product-surface handoffs remain compatible.
  • Users can expand collapsed progress details to understand what Coach is checking without seeing internal operational detail.

What’s new in v1.5.11

v1.5.11 connects Coach to journey progress and follow-through.
  • Coach includes a “Help me set clear goals” entry point until the user has shared specific goals and challenges.
  • Briefings lead with Money actions before Growth opportunities so users can build the financial picture first.
  • Coach can ask about bookmarked action status to help users return to priorities they already chose.
  • Journey-related Coach copy uses guidance language and avoids regulated financial recommendation framing.
  • Goal and challenge capture for journey progress is distinct from broad onboarding direction.

What’s new in v1.5.8

v1.5.8 improves Coach reliability, spending explanations, and reporting readiness.
  • Coach gives clearer spending breakdowns by category.
  • Coach handles partial failures more clearly when a tool, model call, context assembly step, or data source is unavailable.
  • Error responses are more specific and are designed to avoid fabrication while offering a next-best action.
  • Transaction-level behavioural signals and sector context can improve the grounding available to Coach where tenant configuration and data availability support it.

Functional flow

Load current conversation context and prior history when the user opens Coach.
Render assistant output incrementally so users see progress instead of waiting for one final payload.
Handle text chunks, completion signals, and runtime errors as different event types in the UI.
When data or tools are unavailable, show a specific limitation and a safe next step rather than a generic failure message.
After each completed answer, enable feedback capture and optional guided next-question suggestions.
Record specific goals, challenges, and action-status updates from confirmed Coach interactions so journey progress reflects real user intent.
Keep Coach answers grounded in the connected same-currency account set and avoid treating internal transfers as income or spending.

Integration considerations

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Session model

Keep conversation state bound to authenticated user context so resumes and restores remain coherent.
https://mintcdn.com/narrative-b13c445c/qi6sqKB_OLTe8ty2/SVG/coach-chat.svg?fit=max&auto=format&n=qi6sqKB_OLTe8ty2&q=85&s=48321b24059ca857f3f87b96dae8e1a6

Streaming lifecycle

Design the UI around in-progress, completed, interrupted, and degraded answer states.
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Context binding

Attach conversations to relevant product entities so follow-up guidance stays grounded.
https://mintcdn.com/narrative-b13c445c/qi6sqKB_OLTe8ty2/SVG/database.svg?fit=max&auto=format&n=qi6sqKB_OLTe8ty2&q=85&s=4eb7c552d3b697a6147a07f1b9ee5a43

Connected account context

Preserve account-aware context when users ask about cash movement, transfers, spending, or income across connected accounts.
https://mintcdn.com/narrative-b13c445c/qi6sqKB_OLTe8ty2/SVG/refusal-behavior.svg?fit=max&auto=format&n=qi6sqKB_OLTe8ty2&q=85&s=7f2e9e92249aa3eb1c27b298f31fd56f

Feedback loop

Capture explicit user sentiment after messages complete to improve assistant relevance over time.

Common risk patterns

  • Session restore drift after account or context switches.
  • Duplicate client rendering when stream completion is not handled idempotently.
  • Feedback double-submission when retries are not deduplicated.
  • Generic error states that hide whether data is unavailable, still processing, or outside the current product scope.