Problem and users
Students dealing with unclear work, limited energy, and missed days need a concrete starting point, not another complicated productivity system.
Product case study
A guest-first AI workspace built for real student friction.
MindPulse combines focused AI tools, a small-action dashboard, safety screening, private accounts, and honest beta measurement in one accessible student product.
Product idea
One primary next action, six focused tools, an AI Agent, and Recovery Mode turn messy input into a realistic step while preserving guest access.
AI design choices
Server-only routes assemble mode instructions and call the configured provider without exposing keys. Recovery output uses a strict schema, one repair attempt, and a deterministic fallback made only from the student’s items.
Six focused AI tools
Study Help, Daily Planner, Motivation Reset, Habit Coach, Goal Breakdown, and Quick Reflection each provide guided intake and mode-specific instructions.
Safety and privacy
Input is screened before generation and model output before display. Crisis content receives localized support. Account secrets remain server-side; anonymous feedback and aggregate beta counters avoid user identifiers.
Technical architecture
Next.js and React provide the interface. OpenNext targets Cloudflare Workers. D1 stores account data, hashed sessions, usage counters, chat history, plans, anonymous feedback, aggregate events, and durable rate limits.
What has been built
The verified beta includes:
- Guest-first local state and private accounts
- One-action dashboard and guided onboarding
- Six AI tools plus Agent and Recovery Mode
- Deterministic safety screening and localized crisis replies
- English, Russian, Kazakh (beta), and Spanish interfaces
- Password-confirmed account deletion
- Anonymous feedback and aggregate-only measurement
What will be measured next
Evidence should come from real use, not invented impact.
- Students completing at least one real task
- Concrete improvement suggestions
- Returning beta testers
- Most useful tools
- Reported clarity or a more manageable next step
Beta testing flow
A tester chooses one tool, uses one real task, completes a useful action when possible, and sends a short anonymous comment without copying private chat content.
Roadmap
The roadmap is evidence-led: improve weak flows, review translation and safety quality with native speakers, strengthen accessibility, and expand only after real beta feedback supports it.
Test the actual product.
Use one tool on one real task, then share a privacy-conscious comment.