FFovra
AI workflow control layer

Control the AI work behind every project.

Fovra turns scattered prompts, model outputs, and review steps into a structured workspace with AI stack setup, task routing, prompt QA, output QA, and artifact readiness.

Set Up WorkspaceView Workflow Demo →

Email + password sign-in · Free beta · No agent platform.

How it works

From AI Stack to Approved Output

Fovra helps users configure their AI tools, route tasks, improve prompts, review outputs, and compile usable project artifacts.

  • AI Stack Setup01

    Configure your AI tools and quality rules once.

    Select your tools (Claude, ChatGPT, Cursor, Perplexity, and more), set tone, output style, and what to avoid. Fovra uses this profile to judge every output you paste back.

  • Task + Prompt QA02

    Route tasks to the right model and rewrite the prompt.

    For each task, Fovra recommends a workflow and model, scores your input across five dimensions, and produces an improved prompt before any token gets spent externally.

  • Output Review + Artifact Readiness03

    Score outputs and compile shippable artifacts.

    A seven-dimension rubric scores every pasted output, flags issues by severity, and compiles ready outputs into Decision Notes, Briefs, PRDs, or Task Cards.

Quality gates

Quality Gates Before Work Ships

Input · Prompt · Output. Each gate has a falsifiable rubric. A failed critical criterion blocks the deliverable; a failed warning flags concerns. No vibes, no "looks good to me."

Open the live wireframe →
Persona memo · run preview
  1. Input Gate
    done
  2. Prompt Gate
    done with_concerns
  3. Output Gate
    needs context
done ← all pass · concerns ← warning failed · blocked ← critical failed · needs_context ← unverified
Local MVP

Start with your AI stack.

Set up your tools and quality rules once. Your AI Stack saves to your account; project drafts remain browser-local in this MVP.

Set Up Workspace →