2 Commits

Author SHA1 Message Date
Claude 77d0322c09 Align codebase with the V1 production brief
Reconciles the implementation against the final MVP brief:

- Data model: rename users.provider to auth_provider and
  users.subscription_status to subscription, matching the brief's schema
  exactly (id, email, auth_provider, subscription, created_at). External
  API field names are unchanged.
- Suggestions: replace the starter list with the brief's eight examples.
- Instructions: personality updated to calm, warm, intelligent, curious,
  respectful, pedagogical — never judging, manipulative, dramatic,
  overly positive, overconfident or preaching. Added per-reply goals:
  feel personal, be calm, instill safety, give hope without promising
  results, deepen thinking, and always contain at least one genuinely
  new thought or question. Added the conversation outcome goal (greater
  clarity, greater calm, a new perspective, increased trust in one's own
  ability) and 'not a chatbot for general questions' to positioning.
- Paywall transition example updated to the brief's wording ('I'm
  starting to see some recurring patterns… Unlock Premium to continue.').
- Knowledge base completed per the brief: communication models
  (perceptual positions, observation vs interpretation, chunking,
  backtracking, boundaries), reflection exercises (meaning audit,
  meta-question, five frames, observer replay, well-formed outcome,
  evening question) and a question library organized by purpose.
  Appreciation in the Lift step must be anchored in what the user
  actually expressed; the Challenge step never preaches.
- README: product principle (one user, one conversation, one analysis,
  one recommendation), the removal rule, design words per the brief,
  Definition of Done (7 steps), V2 not-now list (journal, saved
  insights, community, coaches, courses, voice), and a closed-beta plan
  for 20-50 testers with what the minimal data model can already
  measure.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0118DaxZR36RpnY524vRqx3z
2026-08-03 14:58:56 +00:00
Claude 6b7f0263e4 Add chat-first onboarding and intelligent context-based paywall
Replaces the hardcoded message limit with a model-driven paywall and
removes registration before the first question:

- Onboarding: the app opens directly into the chat. Dynamic conversation
  starters are served by GET /suggestions (services/api/suggestions.json),
  updatable with a deploy — no app release needed. Guests chat via
  POST /guest/chat, identified by an app-generated device id; sign-in
  moves to the paywall, where a purchase must attach to an account.
- Free experience: the model runs in discovery mode — follow-up
  questions, pattern identification, visible understanding — building an
  analysis without delivering the full solution.
- Intelligent paywall: the model returns structured output (reply +
  analysis_ready). Only when the problem is described, the information is
  sufficient and an action plan is ready does it write a calm transition
  and pause the conversation. Manufactured urgency, emotional pressure,
  fake readiness and mid-answer stops are explicitly forbidden.
- Premium: on unlock the app resends the transcript and the backend
  immediately delivers the full analysis, strategies and exercises, then
  the dialogue continues without restriction.
- The old FREE_MESSAGE_LIMIT becomes MESSAGE_CAP (default 200/30 days),
  kept purely as an abuse backstop — it is not the paywall.
- WelcomeScreen removed; the app is now two views (Chat, Paywall).

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0118DaxZR36RpnY524vRqx3z
2026-08-03 14:42:44 +00:00