Autonomous AI engineer

The AI coding platform that finishes the job.

Lloyd — your AI engineer — writes the code, runs it on a real cloud VM, tests it in a live browser, and shows you proof it works. Steer it from your browser or your phone.

Start building Watch Lloyd work Read the guide
Artificial Labs web IDE showing a live agent run with editor and browser preview
How it works

From idea to evidence in three steps

01

Describe what you want

Chat with Lloyd like a colleague. Give it a feature, a bug, or a refactor.

Chat input with a natural-language prompt and Lloyd beginning to respond
02

Watch it get built

Files written, commands run, tests executed — every action streams live.

Streaming action timeline with green checkmarks appearing in real time
03

Get proof it works

Browser-verified, log-verified, click-tested. Lloyd reports success with evidence.

Live browser preview next to the browser console showing a successful login flow
Proof, not promises

An agent that proves its work

Lloyd does not say "done." Lloyd shows you it is done. It runs your app in a live browser, captures every console error and network failure, takes screenshots, and clicks through your UI — filling forms, submitting logins, verifying the dashboard actually renders. Completion is gated on evidence: clean logs, clean console, working flows. If the login button is broken, Lloyd finds out before you do.

  • Live browser preview with real-time console + network monitoring
  • Automated browser interaction: click, type, submit, verify
  • Headless browser testing — works even with no preview tab open
  • Log-verified completion: the agent must read clean logs before claiming success
  • 25+ agent actions: files, terminals, browser, project scanning, deep research
Headless browser verification of a login flow
Real infrastructure

A real computer, not a sandbox

Every project runs on a dedicated cloud VM — root access, SSH, real databases, any language, any framework, long-running services. No throwaway containers, no "sandbox limitations," no forgetting your work between sessions. When you are ready, point a custom domain at it.

  • Dedicated VM per app with SSH access
  • Run anything: Node, Python, Go, Docker, Postgres, MySQL, Redis, daemons
  • Persistent filesystem — your work is there tomorrow
  • Custom domain support for shipped apps
  • Built-in web terminal with multiple simultaneous sessions
Dedicated VM with web terminal
Durable runs

Steer it. Leave it. Come back to it.

Long-running agent sessions stream every action live — and they do not die when you do. Close the laptop; the run keeps going. Refresh the page; reconnect exactly where it left off. Change your mind mid-run; send steering guidance without losing progress.

  • Streaming action timeline — watch every edit, command, and test live
  • Mid-run steering: redirect the agent without restarting
  • Reconnectable sessions: refresh, switch devices, nothing lost
  • Task tracking: multi-step plans with live status
  • Persistent memory + automatic summarization for long projects
Reconnected run with mid-run steering
Ship from anywhere

Ship from the train.

The native iPhone app has full parity — streaming timeline, steering, task tracking, stop/continue. Kick off a refactor at your desk, approve the result from the couch.

  • Native iPhone chat parity with the web platform
  • Start, stop, and steer runs from your phone
  • Same reconnectable session model as the browser
iPhone app showing a live agent run
Compare

How Artificial Labs stacks up

We don't just generate code. Lloyd builds, runs, verifies, and hosts real full-stack systems on real infrastructure — then proves it works in a browser.

Capability Replit Agent Lovable Bolt.new Vercel v0 Base44 Cursor Artificial Labs
Runtime environment Shared Nix container, no root No runtime access Browser-only WebContainer No runtime (UI preview) Fully managed, no OS control Bring your own machine Dedicated Linux VM + root SSH
Backend & database support Real backends, but repls hibernate Locked to Supabase External DBs only Frontend only Proprietary store only Self-hosted Any DB, long-running services, websockets
Agent verifies its work Screenshots, but shallow checks Preview only Manual review Eyeball output No browser validation Tests you write yourself Mandatory full-stack validation protocol
Shell & direct machine access Constrained Nix shell No shell Emulated browser terminal No shell No shell Your local shell Full SSH-grade VM access
Full-stack AI scope Good, weak on enforced seeding UI + Supabase CRUD Frontend-heavy Components only CRUD on proprietary rails Whatever you direct Schema, APIs, UI, docs, verification
Model choice Locked to Replit models No model selection Locked to Anthropic Vercel models only No model selection Good selection Multi-model + bring your own provider
Deployment & networking Paid deploy product; cold starts Managed hosting only Hands off to Netlify Vercel frontends only Managed hosting only No hosting Instant SSL hostname, no separate deploy
Code ownership & portability Nix config to unwind Supabase-coupled Standard code export Copy-paste components Proprietary primitives Fully yours Standard Linux stack, runs anywhere
Best-in-class / fully supported
Partial or constrained
Missing or limited
Not applicable

Real VMs, not sandboxes

Artificial Labs is the only platform where the agent works on an actual Linux server with root access. Install packages, run daemons, schedule cron jobs, host databases, and compile anything.

Verified builds, not "it returned 200"

Lloyd opens pages in a real browser, checks rendered content, scans the console, clicks through flows, and confirms seeded data appears in the UI before calling the work done.

Zero lock-in

Everything Lloyd builds is standard code on a standard Linux box — plain Node/Python, plain nginx, plain SQL databases. Copy it to any server and it runs.

Instant hosting, no deploy product

Every app is live on an SSL-terminated public hostname the moment it runs. No separate deploy step, no cold starts, and no account on another platform required.

Platform

Everything else you need to ship

Multi-model intelligence

Different LLMs routed per task — planning, research, summarization, coding. Choose your primary model per project.

Deep Research mode

A read-only investigation sub-agent explores your codebase and reports back before touching anything.

Skills & shortcuts

Reusable prompt playbooks and slash-commands for the tasks you do every day.

Safety built in

Loop detection, prompt-injection scanning, action policies, and ownership checks on every proxied request.

Token transparency

Real-time usage metering on every conversation so you always know what you are spending.

Team-ready access

SSO, OAuth app registry, and role-based access control for growing engineering teams.

Terminal-native

Persistent named terminal sessions the agent creates, monitors, and manages — perfect for dev servers.

Project intelligence

Full project scanning, code search, and context-aware editing that respects your codebase's conventions.

Prefer your own machine? Meet vCode.

The same Lloyd, working in your local shell and filesystem. Windows, macOS, Linux. One binary.

Explore vCode → vCode terminal interface with streaming actions and local file edits

Stop reviewing code that might work. Start shipping code that does.

Get a dedicated VM, a live browser, and an agent that proves every change.

Start building