AI-generated code doesn't always deploy on the first try. What happens next is what matters.
Build failed.
The command "npm run build" exited with code 1.
Check your build logs for details.
You open logs
Find the error
Copy it
Paste into Claude
Hope it guesses right
Other platforms
✗ Deploy failed — health check
Diagnosis: src/server.ts has no /health route
(analyzed from your source code)
Fix: Add /health endpoint — line 42
Confidence: 95% Auto-fix: ✓
✓ Claude applies the fix. Redeploys. Done.
You do nothing.
Telbase
On other platforms, you're the middleware — copying errors between your AI agent and the deploy platform. Telbase's AI reads your source code, identifies the root cause, and tells your agent exactly what to fix — down to the file and line.
Your team has AI ideas. You’re afraid of what they’ll break.
05
Telbase runs your team’s experiments on infrastructure that’s separate from yours. Whatever they build doesn’t touch what you’ve already shipped.
The way it works today
Where it runsYour production stack.
What it costs to startIT, security, and budget review.
What it costs to failMonths of work. Sometimes a postmortem.
What success looks likeIt cleared the queue.
With Telbase
Where it runsSeparate from your stack.
What it costs to startNothing for the experiment itself.
What it costs to failThe team moves on to the next idea.
What success looks likePeople keep using it without being told to.
Telbase runs as a separate vendor outside your company’s stack. None of it touches your production environment, your customer data, or your internal systems. When an experiment earns its way to production, you graduate it under whatever process you’d run for any new system. Until then, the only thing at risk is the coffee.
Product teams prototype with AI. Engineers ship internal tools in hours. AI agents deploy autonomously. But if nobody shared a link — does anyone on your team know these exist?
Discover
Everything your team builds, in one place
A PM ships a checkout prototype. An ops lead deploys an approval tool. Next sprint, engineering specs the same features — because nobody knew they already existed.
Every deploy is automatically cataloged. Browsable, searchable, always current. Your PM’s prototype doesn’t live in a bookmark. Your RevOps tool doesn’t die in a Slack thread. The whole team finds what the whole team builds.
Manage
Leadership shouldn’t have to ask around
A prototype from two months ago still runs on a paid cloud instance. The person who built it moved teams. The bill keeps coming. Nobody knows it’s there.
One view across your entire org. What’s deployed, what it costs, who owns it. Cost attribution is automatic. Nothing runs in the dark.
Secure
AI agents don’t need your cloud credentials
Every person and AI agent that deploys needs raw API keys to your cloud providers. The more people build, the more credentials scatter across the org.
Telbase is the single gateway. Agents deploy through Telbase, not Vercel or GCP directly. Credentials stay centralized. You control who deploys what.