FrontBrain AI has a purpose-built orchestration layer, controlled tool execution, isolated workers, Remote Gateway support for private networks, and verification at every stage.
No mystery box. No blind automation. No “trust me bro” execution.
The orchestrator drives the autonomous loop: intent classification, planning, workspace context, mutation gates, stall detection, verification, and audit logging.
Toolrunner workers execute bounded tools. Stateful operations stay session-pinned where needed; stateless work can scale horizontally.
The Remote Gateway runs inside customer networks and executes approved tools against private systems through an outbound-only connection.
Every task passes through a controlled lifecycle. The model does not simply improvise against production.
Classifies risk, cost, and operational impact before tools are called.
Adds active connectors, recent outcomes, open approvals, task state, and relevant memory to the model context.
Selects from bounded, approved tools rather than unrestricted system access.
Classifies actions by what they do. Production-impacting steps require approval.
Remote writes require a successful read or inspection of the same target first.
Commands are normalised for non-interactive execution where applicable.
Repeated same-error loops, no-state-change patterns, and gate loops pause the run.
When native artifact generation fails, fallback generation can use sandboxed scripts for documents, spreadsheets, PDFs, and slides.
The final answer includes a Summary and Verification list with pass/warn/fail markers and evidence pointers.
FrontBrain AI uses a routing layer instead of relying on one model for everything. Routine execution can use efficient models. Hard reasoning can escalate to advanced models. Customers can bring their own OpenAI, Anthropic, or Google keys where supported.
The model is not the product. The execution system around it is.
Conversation history, task state, approvals, and audit logs live in Postgres. Session events and runtime coordination use Redis.
Generated files, screenshots, evidence, and artifacts are stored in managed object storage or customer-owned storage for private deployments.
Connector credentials live in Vault, scoped by tenant, user, workspace, and target.
The gateway is installed on a VM you control. It opens one outbound TLS WebSocket to FrontBrain AI and executes whitelisted tools inside your network.
No inbound firewall changes. No exposed management interfaces.
Each gateway can only execute the tools explicitly enabled for it.
The cloud orchestrator and gateway both log actions so the records can be reconciled.
Give FrontBrain AI a real task. Watch it plan, execute, verify, and record — with all the brakes on.
Less dumb. More done.