Autonomous assistants
BetaAI assistance extends into controlled action.
An autonomous assistant platform exploring local and hosted models, tools, memory and device workflows with explicit capability boundaries.
01 / The challenge
Useful assistants need more than chat: they need tools, memory, recovery and clear ownership of actions.
AgentsToolsLocal modelsDevice workflows
02 / Product decisions
Decisions before decoration.
- 01
Separate model output from tool execution and device-bridge ownership.
- 02
Make feature gates and runtime capability explicit.
- 03
Treat autonomous loops as bounded systems with observable stop conditions.
03 / The system
What had to work together.
- Hosted and local-model conversations
- Tool and code execution
- Memory and context layers
- Device-access bridge
04 / Responsible delivery
Useful AI needs a boundary and a recovery path.
- 01
Capability and feature gates
- 02
Explicit process ownership
- 03
Bounded autonomous execution and recovery paths
05 / Evidence
What can be verified now.
- Public beta available at maiachat.com
- Local and hosted model integration
- Tool, memory and device workflow architecture
Maturity: Beta. No adoption, customer or performance metric is implied unless it is stated explicitly.
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