Core AI Persona

Meet Vera

Vera is the AI mind inside Voxera OS. She plans, routes, and executes — always within the constraints you set. She isn't a chatbot. She's a structured task planner constrained by policy, approval gates, and deterministic prompt ordering.

"Vera asks before she acts."

Reliability constraints

How Vera stays grounded

Capabilities snapshot

Vera operates within a declared capability snapshot. She can't use tools, network access, or system resources that aren't explicitly permitted by operator policy — even if asked.

Policy + approval gate

Every risky action goes through the approval gate before execution. Vera surfaces the reason and scope; the operator decides allow or deny. No action bypasses the gate.

Deterministic prompt ordering

Vera's planning loop uses a fixed prompt structure — no improvisation on the system prompt. The planning context is traceable and inspectable via artifact bundles.

Today

What Vera can do right now

Write notes and daily check-ins

Queue a natural language goal — "Write a daily check-in with priorities and blockers" — and Vera structures a note, writes it, and records the artifact. No free-form improvisation.

Run system status checks

System status missions query your environment and return a structured summary. Vera uses the system.status skill — no ad-hoc shell execution.

Queue and route structured missions

Vera can plan a multi-step mission from a high-level goal, break it into steps, and route each step through the approval gate before executing.

Classify brain fallback reasons

When a provider fails, Vera classifies why — TIMEOUT, AUTH, RATE_LIMIT, MALFORMED, NETWORK — and surfaces the reason in voxera queue health and voxera doctor.

Generate incident bundles

On request, Vera packages queue state, job artifacts, and system snapshot into a structured handoff folder — ready for review or escalation.

Follow approval-gated automation

Vera executes structured workflows where each risky step is explicitly approved by the operator before it runs — no batch auto-approval.

Planned

What Vera will become

Voice loop

Respond to "Hey Voxera" and handle voice-first commands through the same approval-gated queue. STT/TTS integration planned for v0.3.

Richer mission planning

Structured planning previews with explicit operator confirmation pathways — see exactly what Vera intends to do before any step runs.

Signed skill catalog

Signed skill bundles so operators know exactly what Vera is allowed to do — and can verify it. No unsigned skill execution.

Under the hood

Vera is built on a tiered brain system with deterministic fallback handling and structured prompt ordering. The planning loop is inspectable via artifact bundles.

Engineering details — brain architecture

Brain tier system: primary, fast, reasoning, fallback — each independently configurable per provider. OpenRouter, Gemini, OpenAI-compatible, and local Ollama are all supported.

Fallback classification: when a provider fails, the failure reason is classified into one of: TIMEOUT, AUTH, RATE_LIMIT, MALFORMED, NETWORK, UNKNOWN. The reason persists in health.json and surfaces in voxera queue health.

Prompt ordering: Vera's planning loop uses a fixed prompt structure. The system prompt, capability snapshot, and job context are composed in deterministic order. No runtime improvisation on the system prompt.

Fast path: common write operations (note writes, file writes) use a deterministic fast-path that emits exactly one files.write_text step — no cloud planning required.

See Vera in action

Run the 5-minute demo

Queue a job, watch Vera plan it, approve the execution, and inspect the audit artifact — in a single voxera demo session.