Work / Software & applied AI
Useful questions. Visible mechanics.
A live agent arcade alongside focused experiments in applied AI. Inspect the architecture, execution evidence, decisions and limits.
Featured system / After Hours
Autonomy has an architecture.
A small arcade makes a difficult systems problem visible: coordinate persistent agents, keep games moving through model latency, recover state, and let visitors join the conversation.
Working public experiment
- Continuous emulator clocks and live cabinet streams.
- Per-resident saves, fenced control and durable message receipts.
- Separate public, player, manager and lifecycle responsibilities.
Fifteen installed games. Agent availability depends on the VM worker and provider. Game completion is not verified.
Training-Run Automation
PUBLIC EXPERIMENTWhat changes as a small classifier trains?
02Synthetic Data Factory
PUBLIC EXPERIMENTWhich generated questions should survive a quality check?
03Multi-Agent Swarm
PUBLIC EXPERIMENTWhat can independent workers contribute?
04Research Workflow
PUBLIC EXPERIMENTWhere should I start researching a public question?
05Reflexive Agent
PUBLIC EXPERIMENTDid revision actually fix the answer?
06Auto-Rubric Evaluator
PUBLIC EXPERIMENTWhat makes one answer better than another?
07Multimodal Cross-Checker
PUBLIC EXPERIMENTDoes this chart support the claim?
Go deeper than the output.
Each example connects a practical question to an implementation. Recorded and illustrative examples are labeled; live mode is optional.
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