AI Product Studio

Build production‑ready
software with AI.

Seven specialized AI agents run coordinated sprints on your codebase. PM scopes, architects design, engineers build, QA tests, security signs off. Real code, real PRs, in your repo.

See how it works
Ghyst Studio·procur-agritech
sprint 4 · live
procur
Sprint 4
Office
Sprints
GitHub
Settings
OfficeArchitectureLogsTestsTasksActivity
PM Agent
Coordinating
Backend Agent
Working...
PR ready
Frontend Agent
Review PR →
Design Agent
Working...
QA Agent
Standby
DevOps Agent
Standby
Security Agent
Standby
PR #47 · feat/farmer-card · open
PR #45 · merged
4 active
How it works.

From brief
to shipped.

PM Agent
Step 1 of 7
I want to build an app where personal trainers can manage clients, send workout plans, and get paid — all in one place.
You
PM
Got it. I'll need to dig into a few things before we scope. Give me a moment to read this carefully.
First, you brief.

A PM that challenges your thinking, not just your backlog.

Describe your product in plain language. The PM Agent structures it, pushes back where needed, assigns the right agents to each task, and has the team running before you finish your coffee.

  • Pushes back when scope creeps or assumptions are weak
  • Asks the questions your future users would ask
  • Structured task breakdown with priorities and agent assignment
  • Standup summaries delivered after every session
  • Sprint plan you can review, adjust, and approve before execution
PM Agent · Sprint Planning
sprint 5 · drafting
Brief
B2B Caribbean agri-marketplace. Verified farmer listings, buyer search, Stripe escrow. 3% transaction fee. MVP in one sprint.
Sprint 5 Plan · 7 tasks
Architect
Design escrow payment schema + ERD
done
Backend
POST /v1/listings + validation middleware
live
Dev
ListingCard + marketplace grid components
live
Design
Farmer profile + verified badge system
live
Backend
Stripe escrow service + webhook handlers
queued
QA
Payment flow e2e test suite
queued
Security
Sprint audit + escrow vulnerability scan
queued
Then, they build.

Watch the agents write, review, and ship real code.

The Dev Agent writes code directly in your repository, opens pull requests with proper descriptions, and responds to review feedback autonomously. Every change is observable in real time inside the Ghyst Studio.

  • Live code editor: watch the agent type character by character
  • Hot-reload preview running alongside every change
  • Pull requests opened to your GitHub repo automatically
  • Review feedback addressed without you lifting a finger
TaskDetailDrawer.tsx
api/tasks.ts
Dev Agent · writing
1import { useState } from 'react'
2import { Task } from '@/types'
3
export function TaskDetailDrawer({ task, onClose }: Props) {
5 const [expanded, setExpanded] = useState(false)
6
7 return (
8 <aside className="task-drawer">
9 <DrawerHeader task={task} />
10 <TaskBody task={task} />
PR #48 · feat/task-detail-drawerready for review
+ export function TaskDetailDrawer({ task, onClose }: Props) {
+ const [expanded, setExpanded] = useState(false)
+ return <aside className="task-drawer">...
- // TODO: implement drawer
Design to code.

Your Figma designs,
built exactly as drawn.

Connect your Figma workspace and the Design Agent takes over — importing tokens, reading component specs, and handing pixel-perfect implementations directly to the dev agents. No redlines. No guesswork. No back-and-forth.

  • Reads your Figma file and extracts design tokens automatically
  • Generates React components that match the design spec
  • Keeps styles in sync as your Figma file evolves
  • Works with your existing component library or builds one from scratch
trainer-app.fig · Components
Design Agent · reading
Component
PlanCard / Default
Active
View Plan
border-radius: 12pxpadding: 16pxshadow: md
Generated
Design tokens extracted
--color-surface#1a1a18
--radius-card12px
--font-label11px / 500
--color-active#22c55e
PlanCard.tsx
export function PlanCard({ client, plan }: Props) {
return <div className="plan-card">
<ClientHeader client={client} />
<PlanDetails plan={plan} />
PR #3 · feat/plan-card-component · matches Figma spec
Works both ways.

New product or existing codebase.
Ghyst fits either.

Greenfield
Starting from scratch

Describe your product. The PM Agent scopes it, the Architect designs the data model, the Backend and Dev agents scaffold the codebase, and the first PR is open within hours. You're not starting. You're already building.

  • Brief → sprint plan in minutes
  • Tech stack chosen based on your requirements
  • Repo created and scaffolded automatically
  • First working feature in hours, not days
Brownfield
Existing codebase

Connect your repo. Agents read your full codebase (every file, every pattern, every convention) before touching anything. Code contributions fit your existing style, import your real components, and use your actual types. No rewrites. No guessing.

  • Full codebase context before first commit
  • Respects existing patterns and conventions
  • Imports real components and shared utilities
  • Works alongside your existing engineering team
Here's why it works.

Different from every AI tool you've tried.

01
You own everything
Code goes straight to your GitHub repo. Your infrastructure. Your IP. Ghyst runs the agents; you keep the assets.
02
Full-context memory
Every agent reads your full codebase before touching a line. No hallucinated imports. No out-of-sync types. They know what exists.
03
Seven agents in parallel
PM, Dev, Design, Architecture, Backend, QA, and Security run simultaneously. A sprint that would take a team a week ships in a day.
04
QA + Security gated
Nothing deploys without passing QA tests and a Security audit. Every sprint ends with a signed-off, production-ready build.
Works with your stack.

No new toolchain.
Ghyst plugs into what you already use.

⌥
GitHub
Code lives in your repos. Every agent commit, PR, and review goes through GitHub.
△
Vercel
Deployments land in your Vercel org. Previews for every PR, production on merge.
◉
Supabase
Schema migrations, seed data, and RLS policies. Agents work directly with your Supabase project.
◈
Stripe
Billing, subscriptions, and payment flows wired in from the start of every sprint.
✦
Figma
Design agents pull tokens and component specs directly from your Figma files.
◐
Linear
Sprint tasks sync as Linear issues. Track agent progress in your existing workflow.
✉
Postmark
Transactional email scaffolded and connected. Templates included.
◎
Claude
Every agent is powered by Anthropic Claude. The most capable model on every task.
Meet the team.

Seven agents.
One studio.

Each agent is specialized, context-aware, and running in parallel. The PM coordinates. The rest execute. You review the work and decide what ships.

live
PM Agent
Scopes briefs, challenges assumptions, runs sprints
Managing sprint 4
review
Dev Agent
Writes code, opens PRs, handles review feedback
PR #47 · FarmerProfile.tsx
live
Design Agent
Components, design tokens, visual consistency
Building component library
live
Architect
Schema, data models, system design decisions
Schema migration plan
live
Backend
APIs, migrations, business logic, integrations
POST /v1/farmers endpoint
idle
QA Agent
Test suites, regression coverage, CI gates
Awaiting merge to run
queued
Security
Sprint audits, vulnerability scans, deploy approval
Sprint-end audit queued
Engineering-native.

The workflows your team already knows.

Ghyst doesn't invent a new way to ship software. It runs the exact workflow your engineering team already uses, just with agents doing the work.

Feature branches per task
Every agent task gets its own branch. feat/listing-card, fix/escrow-webhook. Standard naming, clean history.
Pull requests, not direct pushes
Agents never push to main. Every change is a PR with a description, linked task, and diff for your team to review.
Review feedback handled
Leave a comment on a PR. The Dev Agent reads it, makes the change, and pushes an update. No pinging. No waiting.
CI/CD-compatible output
Tests pass before merge. Agents run the QA suite, fix failures, and only mark a PR ready when it&apos;s clean. Your pipeline stays green.
Conventional commits
feat:, fix:, chore:, refactor:. Agents follow conventional commit format. Your changelog writes itself.
Human-in-the-loop
You approve the sprint plan. You review PRs. You decide what merges. Agents execute. You stay in control.
Always up to date.

The codebase
documents itself.

After every sprint, Ghyst agents write and commit documentation alongside the code — architecture overviews, API references, decision logs, component guides. Your wiki is never three sprints behind.

  • Architecture docs written after every sprint
  • API references, data models, and ERDs
  • Decision logs — why things were built the way they were
  • Lives in your repo — version-controlled, searchable, yours
ghyst-wiki / payments-architecture
auto-generated · sprint 5
Architecture
Payments Architecture
System Overview
Data Models
API Reference
POST /listings
POST /escrow
Webhooks
Decisions
ADR-001 Escrow model
ADR-002 Auth strategy
Updated by Architect Agent · Sprint 5

Payments Architecture

Overview

Ghyst uses a Stripe-based escrow model where buyer funds are captured at listing purchase and released to the seller after delivery confirmation. The flow is fully automated via webhooks.

Flow
Buyer checkout
→
Stripe capture
→
Escrow held
→
Delivery confirmed
→
Funds released
Decision

Escrow chosen over direct payout to reduce fraud risk at MVP stage. See ADR-001 for alternatives considered.

Written by Architect Agent
Already shipped.

Products built in days, not months.

These aren't demos. They're live products built from brief to deployment, each one by the full seven-agent studio running coordinated sprints.

contxt.app
SaaS
Contxt
ADA Title II compliance platform for local governments
10 days to ship
procur.app
Marketplace
Procur
Caribbean agricultural marketplace connecting farmers to buyers
$1.5–3M seed target
vynl.app
Consumer
VYNL
Vinyl record collection management and discovery app
800+ active users
ghost savvy os.app
Enterprise
Ghost Savvy OS
Internal AI studio operating system with 48 agents
48 agents deployed
The thesis.
Most AI tools rent you outputs. Ghyst builds you assets. The codebase is yours. The products are yours. The revenue belongs to you.

Every session with a conventional AI tool ends and leaves nothing behind. You're consuming, not accumulating.

Ghyst operates on the opposite thesis. Your agents run on your codebase, commit to your repo, and deploy to your infrastructure. When a sprint ends, you own everything that was built.

We think the next generation of founders will build more, faster, with smaller teams, because the team includes agents. We're building the studio OS for that world.

Join the waitlist.

Build scalable software
with AI.

Get early access to Ghyst and be the first to ship production-ready software with a full team of AI agents.

Talk to us