Paul Bergeron.
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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.

01

Training-Run Automation

PUBLIC EXPERIMENT

What changes as a small classifier trains?

02

Synthetic Data Factory

PUBLIC EXPERIMENT

Which generated questions should survive a quality check?

03

Multi-Agent Swarm

PUBLIC EXPERIMENT

What can independent workers contribute?

04

Research Workflow

PUBLIC EXPERIMENT

Where should I start researching a public question?

05

Reflexive Agent

PUBLIC EXPERIMENT

Did revision actually fix the answer?

06

Auto-Rubric Evaluator

PUBLIC EXPERIMENT

What makes one answer better than another?

07

Multimodal Cross-Checker

PUBLIC EXPERIMENT

Does 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.

Talk through a system →