Describe it. Approve it. It's live.
Llamox turns a plain-language request into a working app, workflow, spreadsheet, stream, or data pipeline. Agents build the preview. You review, modify, and approve. The platform deploys approved changes, monitors execution, records decisions, and keeps rollback paths where the runtime supports them.
Llamox is the control plane underneath Kautious — and available directly to teams that want to build on it.
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.
You hold the pen
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.
Deploy with rollback
Promote generated apps and supported automations through staged deployment, health checks, and version history. Rollback is part of the operating model.
Stop choosing between the queue and the cowboy demo.
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.
One platform for AI-generated operations
The output is not just a response. It is a governed artifact your team can inspect, modify, approve, deploy, observe, and improve.
AI App Builder
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.
Managed Agents
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.
Workflow Orchestration
Build long-running workflows with explicit approval checkpoints. Durable orchestration lets teams pause for human review without burning compute or losing state.
Spreadsheet Automation
Generate, update, import, and version Google Sheets and Excel workbooks. Convert messy CSVs into structured outputs with review, conflict handling, and rollback.
Data Pipelines & Streams
Create ETL, ELT, and real-time processing flows from natural language, with file analysis, transformations, lineage, stream generation, health checks, and metrics.
Secure Sandbox Execution
Run generated code in isolated execution providers — fast edge execution, Python data analysis, full-language support, or interactive coding sessions.
Enterprise Governance
PolicyGate, OutputGuard, WriteGuard, audit logs, incident workflows, workspace isolation, and human approvals keep agents inside the boundaries your team defines.
Production Runtime
Deploy generated apps and supported automations on Cloudflare's edge with Workers, Durable Objects, Workflows, R2, D1, KV, Convex, and Workers for Platforms.
Tool-Connected Agents
Connect agents to GitHub, Slack, Gmail, Notion, Salesforce, Jira, Linear, and more through 500+ OAuth-backed integrations — with policy checks and audit logs.
The Llamox Difference
Most AI tools stop at generation. Llamox owns the lifecycle.
Generate the artifact. Review the diff. Approve the action. Deploy the runtime. Monitor the execution. Roll back versioned deployments when needed.
Most agent platforms assume trust. Llamox assumes blast radius.
Agents can be useful and still need limits. Every workspace gets its own policies, secrets, tools, storage, approvals, and audit trails.
Most stacks force a choice between the queue and the demo.
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.
The AI does the work. You hold the pen.
Production changes can require a human saying ship. You see the preview, demand changes in plain English, and approve before it touches production.
Built on a production-grade edge architecture
The pieces that make prototypes production-ready are part of the platform.
Give AI the work. Keep the controls.
Walk in Monday with the preview. Bring the audit trail on Tuesday. We onboard in cohorts — tell us what you'd build first.