Today’s session focused on stabilising the end-to-end prompt workflow, enforcing onboarding rules, improving UX, and shipping better local analytics/control features.

Onboarding and auth flow hardening Enforced onboarding as the first gate for cloud-assisted analysis.

Fixed onboarding sequencing to email -> OTP -> project name. Prevented repeated onboarding when a valid token/session already exists. Resolved auth race issues by persisting session at the right point. Added logout and delete-account actions. Analysis path controls (local vs. Groq) Added per-prompt path selection so users can choose a local or Groq-assessed flow each run. Added persistent mode toggle options: always ask, prefer local, prefer Groq. Added one-time project-start preference prompt plus /settings and /preferences entry points. Added fallback behaviour so users can continue with local analysis even if onboarding is refused. Prompt processing + persistence Wired pipeline so prompts can be saved to the backend when the cloud path is authorised.

Added local heuristic insights and model recommendations in local mode. Improved consistency of score/trace behaviour across local and Groq paths. Dashboard and chat UX upgrades Improved onboarding screen polish and overall flow clarity. Added inline expand/minimise and a cleaner action layout in chat/dashboard interactions. Kept control buttons on one line and improved visual hierarchy.

Added motivational summary visuals and better history presentation. Local optimization ledger + backups Implemented local JSON ledger for input/output prompts, token counts, and savings tracking. Added rolling backups before overwrite and cleanup logic for old backups. Included clear/reset behaviour tied to account/data controls. Optimization comparison experience Replaced temporary markdown diff flow with a dedicated comparison panel. Added a side-by-side original vs. optimised prompt view. Added the Copy Optimised Prompt action directly in the comparison UI.

Validation: Build and test checks passed after the latest implementation round. Core features now operate with better resilience in both cloud-assisted and local-only scenarios.

Net result: PromptGuard is now significantly more reliable, more user-controlled, and more production-ready in onboarding, analysis routing, optimisation review, and local telemetry.