Generate the thing
Describe the app, workflow, spreadsheet, or stream you need. Llamox produces a runnable preview, not another static suggestion. Don't like it? Tell it. It rebuilds while you watch.
Describe the app, workflow, spreadsheet, or stream you need. Llamox produces a runnable preview, not another static suggestion. Don't like it? Tell it. It rebuilds while you watch.
High-impact actions stop for human review, policy checks, and workspace-scoped permissions before reaching production. Your team decides what requires approval before it ships.
Promote generated apps and supported automations through staged deployment, health checks, and version history. Rollback is part of the operating model.
The problem
Option one is the queue: a smart person waiting six months for a three-table CRUD app that was "prioritized for next quarter." That is not an engineering problem: it is a permission problem.
Option two is the demo: a chatbot wired to a few tools that can't be trusted with real work. No durable state, no approval model, no audit trail, no safe sandbox, no rollback. That is agent theater.
Llamox is the third option. Describe the tool. The AI builds a preview. You approve what should move forward. The audit trail is written as the work moves.
What Llamox does
The output is not just a response. It is a governed artifact your team can inspect, modify, approve, deploy, observe, and improve.
Turn a prompt, spreadsheet, or workflow idea into a working application: preview, schema, UI, runtime, and data operations. Then route deployment through approval, versioning, and rollback.
Run agents that use real tools without unlimited freedom. Hosted agent loops connect to workspace-scoped sandboxes, memory, web search, workflow triggers, and governed outbound access.
Build long-running workflows with explicit approval checkpoints. Durable orchestration lets teams pause for human review without burning compute or losing state.
Generate, update, import, and version Google Sheets and Excel workbooks. Convert messy CSVs into structured outputs with review, conflict handling, and rollback.
Create ETL, ELT, and real-time processing flows from natural language, with file analysis, transformations, lineage, stream generation, health checks, and metrics.
Run generated code in isolated execution providers: fast edge execution, Python data analysis, full-language support, or interactive coding sessions.
PolicyGate, OutputGuard, WriteGuard, audit logs, incident workflows, workspace isolation, and human approvals keep agents inside the boundaries your team defines.
Deploy generated apps and supported automations on Cloudflare's edge with Workers, Durable Objects, Workflows, R2, D1, KV, Convex, and Workers for Platforms.
Connect agents to GitHub, Slack, Gmail, Notion, Salesforce, Jira, Linear, and more through 500+ OAuth-backed integrations, with policy checks and audit logs.
Generate the artifact. Review the diff. Approve the action. Deploy the runtime. Monitor the execution. Roll back versioned deployments when needed.
Agents can be useful and still need limits. Every workspace gets its own policies, secrets, tools, storage, approvals, and audit trails.
When approval, identity, state, version history, and rollback are built in where they matter, responsible teams can let AI do more: this week, not next quarter.
Production changes can require a human saying ship. You see the preview, demand changes in plain English, and approve before it touches production.
Technical credibility
The pieces that make prototypes production-ready are part of the platform.
The governed AI operations platform
Walk in Monday with the preview. Bring the audit trail on Tuesday. We onboard in cohorts: tell us what you'd build first.