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Project status

This page explains where Moveat stands today from a product and operations perspective. It is meant to help non-specialist readers understand what already exists, what is being validated, and what still needs to be completed before the core product loop is considered stable.
Moveat is currently in an MVP foundation phase. The system has the core architecture, infrastructure and several business modules in place, but the full end-to-end product loop is still being hardened.

Current stage

Moveat is past the pure prototype stage. The project already has separate repositories, production infrastructure, database persistence, authentication, documentation, API docs, observability and a conversational Agent foundation. The main objective now is to connect the product loops end to end:

Nutrition loop

User logs food from web or Agent, Platform stores meal entries, and daily nutrition summaries update once.

Progress loop

User logs weight, Platform stores canonical metric values, and the frontend renders the right display unit.

Training loop

User logs workouts, exercises and sets, and Platform keeps durable training history.

Coaching loop

Agent uses Platform context and LLM interpretation to reduce friction and personalize replies.

What exists today

Platform implementation status

Agent implementation status

Infrastructure status

Near-term priorities

The next project phase should focus on reliability and end-to-end behavior rather than new surface area.
  1. Finish and validate meal logging end to end from web and Agent.
  2. Harden weight and workout API contracts before the frontend depends on them heavily.
  3. Complete Agent-to-Platform client integration with internal auth and idempotency.
  4. Improve Platform coverage in the critical business paths that currently pull coverage below threshold.
  5. Improve Agent coverage around Platform client, provider behavior and failure handling.
  6. Export or sync Platform OpenAPI specs into the docs repository.
  7. Define the bilingual documentation workflow before translating every page.