Vera Studio
I ship with AI agents
every day. This is everything
I’ve learned.
The right setup. The right defaults. The right tools around it. Stop watching tutorials — start building.
The gap
You’ve watched the videos.
You’re still not sure you’re doing it right.
You know Claude Code is powerful. You’ve seen what people build with it. Maybe you’ve tried it yourself.
But there’s a gap between “I installed it” and “I’m actually shipping with it.” What model should you use? How do you manage multiple agents? How do you not blow through your API budget in an afternoon? How do you actually deploy the thing it builds? How do you review what it wrote?
Every YouTube video gives you one more trick. Nobody gives you the whole workflow.
That’s what Vera Studio is. The whole workflow — the one I use every day to ship real software with AI agents — packaged into an app anyone can use.
The features
Two years of shipping with AI agents.
Here’s what I built around it.
Every feature is something I needed. Each one framed as “you should be doing this” — because you should.
Live Preview
Watch your agent build in real time.
Most people run Claude Code in a terminal and wait. Vera Studio shows you a live preview of what the agent is building — updating as it writes code. You catch problems in seconds instead of minutes. This alone changes how you work.
- Embedded browser panel right next to chat and terminal
- Hot-reloads as the agent edits code — updates appear in seconds
- Toggle between Desktop, Tablet, and Phone viewports
- DevTools access for developers who want to inspect
Live Preview preview
Multi-Agent preview
Multi-Agent
Run multiple agents. In parallel.
One agent on one task is fine. But real work means parallel agents — one on frontend, one on backend, one fixing bugs. Vera Studio orchestrates them in isolated sandboxes so they don't break each other. I run 5-10 agents on a project routinely.
- Each agent gets its own isolated Git worktree — no conflicts
- Parent agents can spawn children to delegate subtasks
- Independent model selection per agent — Opus for architecture, Haiku for grunt work
- Dashboard shows the full agent tree with status for each
Cloud Sandboxes
Your agents run in the cloud. Not on your laptop.
One-click provisioning. Persistent storage. Full isolation. Each agent runs in its own cloud VM — no Docker, no PATH issues, no risk to your machine. Close your laptop and come back tomorrow. Everything's still there.
- Powered by Firecracker microVMs — sub-second checkpoint and restore
- Accessible from desktop, mobile, and browser
- Persistent NVMe storage survives between sessions
- Agents keep running even when your laptop is closed
Cloud Sandboxes preview
One-Click Deploy preview
One-Click Deploy
"Make it live." That's it.
Say "make it live" and Vera Studio handles the rest. Static sites go to Vercel. Backends go to Render. Databases go to Supabase. Domains, SSL, environment variables — all handled. The point of building software is shipping it.
- Smart routing picks the right hosting for your project
- Every project gets yourproject.verastudio.com for free — zero config
- Custom domains with guided DNS setup or one-click purchase
- Auto-fix: Vera Studio monitors your site and fixes errors automatically
Model Proxy
The right model for each job.
Opus for architecture decisions. Sonnet for bulk implementation. Haiku for quick fixes. MiniMax when it's 90% as good at 10% of the cost. One account, one bill, every provider. Plus image generation, video, voice, and transcription — all just... there.
- Curated model list — we pick the best ones, not all 200
- Smart defaults route to the right model automatically
- Beyond text: fal.ai for images, Kling for video, ElevenLabs for voice
- BYOK escape hatch — use your own keys if you want
Model Proxy preview
Skills Marketplace preview
Skills Marketplace
Curated superpowers. One-click install.
MCP servers are powerful but setting them up is a nightmare of config files. Vera Studio has a marketplace of curated skills — Figma, Stripe, Slack, Vercel — one click install. I've tested them. These are the ones that work.
- Opinionated packs for common use cases — Website Builder, SaaS Starter, Mobile App
- OAuth integrations: "Sign in with Vercel" instead of pasting API keys
- Developers can write and share custom skills
- Skills bundle MCP servers, tools, and instructions — auto-configured
Auto-Compaction
Save 35-50% on tokens. Automatically.
Long sessions eat your budget. Vera Studio compresses old context automatically so agents stay sharp and your bill stays sane. I built this because I was spending too much. Now I don't.
- Proactive compression — doesn't wait for context overflow
- Four-tier memory: Hot, Recent, Phases, and Spine — bounded information decay
- Three presets: Deep Memory, Balanced, Efficient
- Compaction done by cheap models — fractions of a penny per event
Auto-Compaction preview
Version History preview
Version History
Versions, not commits.
Every agent session auto-commits. Studio presents history as named versions — "Version 12: Added contact form" — not a git log. One-click restore. No branches, no staging, no HEAD. Just versions you can understand.
- AI-generated version names that actually describe what changed
- One-click restore to any previous version
- Visual diffs with approve/reject for each change
- Create a GitHub PR from any agent's work with one click
Mobile
Your engineering team,
in your pocket.
I manage my agents from everywhere. The couch. The coffee shop. The ski lift. That’s not a flex — it’s the point.
AI agents don’t need you staring at a screen. They need you for decisions: approve this change, try a different approach, spin up another agent for this subtask.
Vera Studio on your phone is built for exactly that. Push notifications when an agent finishes. Live preview on your phone. Approve or reject with a tap.
No other AI coding tool has a mobile app. None. Because the people building them don’t work this way. I do.
- Monitor agents and approve permissions from anywhere
- Push notifications when agents finish or need input
- Live preview of what your agents are building
- Chat with agents and send follow-up prompts on the go
No wall
This isn’t Lovable.
The output is real code.
If you’ve tried AI prototypers (Lovable, Bolt, v0), you know the cycle: amazing first hour, then you hit the wall at 70%.
Vera Studio doesn’t have that wall. The agents writing your code are the same professional tools real engineers use. The output is real files in a real Git repo. A developer can pick up where the agent left off.
There is no sandbox. There is no ceiling.
Other tools
Proprietary sandbox
Can’t export, can’t customize
Other tools
Hit the wall at 70%
Complexity ceiling is real
Vera Studio
Real code, real Git
Any developer can continue
Ecosystem
One account. One bill.
Every tool you need.
Vera Studio replaces separate accounts at Anthropic, OpenAI, Vercel, AWS, and whatever launches next month. Your agents, your cloud workspaces, your deployments, your model access — all on one bill.
AI Models
Cloud Compute
Deployment
Domains
Image Gen
Video Gen
Voice
Transcription
All included. All curated. All on one bill.
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Who built this
I’m JR Wells.
3x CTO. $340M exit. Y Combinator. 20 years building software.
I used to hire 12 engineers to build what I now build with AI agents. Vera Studio is how I do it — and now it’s how you can too.
I’m not an AI influencer. I’m a builder who ships with these tools every single day. When I say “this is the right way to do it” — it’s because I’ve tried every wrong way first.
Stop watching tutorials.
Start building.
The whole workflow. The one I use every day. Packaged into an app anyone can use.