Planned

持续积累的实践记录。

Planned

Project-based AIGC training platform

The problem

Much AIGC learning remains a collection of tool tutorials and isolated exercises. Students learn to call models but do not complete a real project from idea to delivery, while teachers struggle to manage courses, workflows, compute, and student work.

The platform is planned as a project-based learning system where students make real work, teachers manage the process, and schools can see the results.

Planned platform structure

  • Student experience: courses, project tasks, assets, workflows, AI tools, submissions, and showcases.
  • Teacher experience: course planning, project templates, classroom interaction, review, and teaching data.
  • Operations: schools, accounts, model capabilities, compute, resources, and platform configuration.
  • Capability layer: text, image, voice, workflows, knowledge bases, and external model services.

Current status

The project has entered pilot operation and is being tested with real courses and project tasks. Current work focuses on feedback, course configuration, and platform stability across student, teacher, submission, and review flows.

AIGCEducationWorkflowPlanned

→

Planned

Digital worker platform

The problem

Most chat Agents work for one conversation. They do not reliably receive ongoing tasks, retain context, connect to knowledge, enter team channels, or provide traceable execution and recovery.

The platform is planned as a system where an Agent has a defined role, receives work, follows tool boundaries, and leaves a complete record.

Planned capabilities

  • Digital worker profiles, roles, capabilities, and boundaries.
  • Task creation, scheduling, execution, retry, pause, and recovery.
  • Knowledge, working memory, sessions, and task context.
  • Web and messaging channel integrations with a unified wake-up model.
  • Usage, billing, audit, logs, and runtime observation.
  • Agent runtime, tool calls, and human intervention boundaries.

Current status

The project has entered pilot operation. Digital-worker roles, task scheduling, wake-up, tool calls, knowledge, channels, and run records are being validated in real scenarios. Current work focuses on role boundaries, execution stability, and human takeover.

AgentDigital WorkersWorkflowPlanned

→