Overview

FeelPro is an AI productivity ecosystem built by AmalAxis around one continuous loop — Work, Focus, Plan, Report — like a PRO — and delivered as two products on a shared brand.

The FeelPro app is a voice-first personal coach for professionals. Its AI agent chats over a streaming WebSocket and operates the real product through 38 function-calling tools: it creates tasks, starts focus sessions, logs breaks, distractions and moods, sets reminders, and pulls productivity stats and streaks — all executed and authorized server-side.

At the heart of the app is a Pomodoro-technique focus engine. The Pomodoro technique — deep work in timed, single-task sprints separated by deliberate breaks — is not a timer bolted onto the app; it is the app's core loop. The user commits one task to a live countdown sprint; pauses and breaks are part of the rhythm and tracked as such, and every distraction is logged the moment it happens instead of silently breaking the streak. When the sprint ends, the user rates it with ROTI — return on time invested — and those scores roll up into focus analytics, streaks and the user's productivity score, turning a simple timer into a coaching signal the AI uses for its proactive nudges.

Around that loop sits the rest of the personal-productivity platform: offline-first cloud sync that fans one batched payload into 19 per-section stores, a timezone-aware push engine with quiet hours and daily caps, and subscriptions running on both Stripe and Google Play Billing.

FeelPro Suite extends the same philosophy to organizations: a multi-tenant workforce-management platform where companies self-register, define their own roles, and run tasks, projects, teams, geofenced attendance, leave workflows and daily/weekly reports from a kanban-driven React portal — with realtime notifications over WebSockets and an AI assistant that turns a manager's natural-language request into real, permission-checked actions.

Together the two platforms span 300+ REST endpoints, three realtime WebSocket channels, 97 data models and 446 automated tests, shipped through branch-routed, push-to-deploy GitLab CI/CD pipelines.

Problem

Productivity apps log what you did; they rarely change what you do next. And the tools a person uses alone rarely talk to the tools their team uses together. FeelPro's brief was to close both gaps at once — which stacked up five hard problems:

• An AI that acts safely. A coach that can do things — not just chat — needs a tool-calling architecture where the model proposes and the server disposes: every mutation validated, authorized and executed against the user's own data, never trusted from the model.
• Offline-first mobile. Professionals work through dead zones and device switches; sync had to merge batched offline changes cleanly and deterministically.
• Engagement without spam. Nudges are the product's heartbeat, but across timezones, quiet hours and daily caps — a duplicate morning briefing is a churn event.
• Two billing rails at once. Stripe for cards and Google Play Billing for the store, reconciled into one subscription state machine driven by webhooks and server-side verification.
• True multi-tenancy. Every Suite organization brings its own roles, limits and policies; isolation had to be enforced on every request, not promised in a diagram.

All of it had to be operable by a small team — one git push per platform, no manual deploy steps.