Digital employee lifecycle platform

QianGong

Your first digital employee starts here

Choose, use, teach, reuse, and manage digital employees across desktop workspaces and enterprise platforms.

Desktop workspaceTeaching and reusable SkillsEnterprise management and records
My digital employeesTask running

Code review digital employee

Digital employee marketplace

pnpm test --filter web
Browser demonstrationSkill draft generated
CLIMCPBrowser demonstration
Enterprise management panelOperation record synced
Task startedCLI Skill invokedResult recorded
ChooseUseTeachSkillRecord
Why a platform

AI tools are everywhere. Enterprises still need one place to manage digital employees.

QianGong connects agents, Skills, workspaces, and operation records into one lifecycle so expertise can be used, reused, and governed.

Scattered agent capabilities

Tools, scripts, MCP connectors, and browser automation live in separate personal setups.

Expertise is hard to reuse

Experts know the workflow, but their knowledge rarely becomes a reusable capability.

Execution is hard to trace

Teams need to know who used which employee, what happened, and what result was produced.

Local and cloud work are split

Some jobs require a desktop environment, while others belong in cloud workspaces.

Governance is difficult

Digital employees, Skills, clients, permissions, and records need one management path.

Product loop

Built around the digital employee lifecycle, not just another chat box.

From defining employees to teaching, Skill reuse, marketplace distribution, and operation records, QianGong turns one-off work into managed assets.

01

Define a digital employee

Set the role, task boundary, entry point, and use case.

Three actions

Choose a digital employee. Use it. Teach it.

Choose

Filter by development, office work, knowledge search, data analysis, and business operations, then add the right employee to your workspace.

  • Filter: development
  • Scope: review / logs
  • Add to workspace

Use

Run local tasks in the desktop client or lightweight tasks in the cloud workspace, with process and result records.

  • Task: review this change
  • Status: running
  • Result: summary and fixes

Teach

Use CLI, MCP, browser demonstrations, and spoken context to turn real workflow knowledge into Skill drafts.

  • Input: browser demo
  • Structure: fields and success
  • Draft: needs validation
Product modules

One platform for the full path from usage to governance.

Desktop digital employee workspace

Users, teachers, individual operators

Local execution, desktop environment access, marketplace, and personal employees

My employeesLocal tasksMarketplace

Teach digital employees

Business experts, implementers, developers

CLI/MCP/browser demonstrations, spoken context, and Skill drafts

CLI teachingMCP teachingSkill drafts

Browser recording extension

Business users and implementers

Record page operations, voice notes, request summaries, and teaching uploads

RecorderStep summaryUpload

Cloud workspace

Enterprise employees

Choose digital employees, run lightweight tasks, and create cloud records

Cloud sessionLight taskRecord

Enterprise management center

Admins, IT, AI leaders

Manage digital employees, Skills, clients, and operation records

EmployeesSkillsRecords

Skill marketplace

Teachers, developers, admins

Reusable capability assets, employee binding, and organization sharing

Capability assetVersion placeholderBinding
Use cases

Start with the first digital employee, then expand across repeatable knowledge work.

Development

Code review

Review changes, summarize risks, and suggest fixes

Employee
Code review digital employee
Skill
Git diff review Skill
Entry
Desktop / Cloud
Development

Log analysis

Read logs and identify likely error paths

Employee
Log analysis digital employee
Skill
Log attribution Skill
Entry
Desktop
Differentiated capability

If you know the work, you can teach the digital employee.

Business experts do not need to start with an agent framework. QianGong turns a demonstration, command, or tool connection into a Skill draft that can be reviewed, tested, and reused.

  1. Open the customer system or tool
  2. Record a query, form, or command example
  3. Explain field meaning while operating
  4. QianGong structures steps and success criteria
  5. Generate a Skill draft
  6. Edit, test, save, and bind to an employee
Success criteria

CLI teaching

Turn commands, parameters, outputs, and risk rules into CLI Skills.

Command sample
Parameter notes
Success criteria
Enterprise governance

Digital employees should be useful, manageable, and traceable.

The first launch focuses on visibility for employees, Skills, clients, and operation records. Deeper permissions, approvals, and runtime governance are clearly marked as planned.

Digital employee managementMVP loop
Digital employee managementIn launch scope
Skill managementIn launch scope
Client managementIn launch scope
Operation recordsIn launch scope
Cloud workspaceIn launch scope
Organization permissions · PlannedApproval workflows · PlannedRuntime dashboards · PlannedClient governance · PlannedSkill review and versioning · PlannedWorkflow orchestration · Planned
Technology and deployment

Local execution and cloud management, designed for real enterprise work.

01

Entry points

Desktop workspaceCloud workspaceBrowser extension
02

Capability layer

SkillsCLIMCPBrowser recording
03

Runtime and governance

Unified RuntimeAdaptersOperation recordsPrivate deployment

The execution core follows the Pi Agent direction, while the product layer presents it as digital employees and Skills.

Positioning

QianGong is not just a chatbot, RPA tool, or agent framework.

Chatbot

Question-answering first, weak execution and management

A lifecycle around digital employee tasks, Skills, and operation records

RPA tool

Strong workflow automation, weaker teaching and intelligence

Demonstration teaching and Skill reuse first, richer replay later

Agent framework

Developer-facing and concept-heavy

Productized as digital employees, Skills, and marketplaces

Single AI assistant

Personal use first, weak enterprise governance

Covers both desktop usage and enterprise management
Sample digital employees

Start with these digital employees.

Code review digital employee

Review changes, find risks, suggest fixes

Code review Skill / Git SkillEngineering teams

Project documentation digital employee

Draft requirements, architecture, and delivery docs

Documentation SkillPMs / Architects

Log analysis digital employee

Read logs, attribute errors, produce investigation paths

Log attribution SkillEngineering / Ops

Knowledge Q&A digital employee

Search policies, documents, and knowledge bases

Retrieval SkillEnterprise employees

Browser operation digital employee

Learn query and form workflows from browser systems

Browser teaching SkillBusiness experts

Meeting notes digital employee

Summarize meetings, actions, and risks

Meeting summary SkillManagers / Delivery teams
Roadmap and FAQ

From MVP loops to enterprise operations and governance.

MVP loop

  • Digital employee marketplace
  • My digital employees
  • Desktop client
  • Teach digital employees
  • Skill drafts and basic marketplace
  • Enterprise management center
  • Basic operation records
  • Basic client management

Planned

  • Permissions and approvals
  • Skill review and versioning
  • Runtime dashboards
  • Remote client governance
  • Browser replay
  • Workflow nodes and orchestration
  • Multi-agent collaboration

A normal assistant is usually chat-first. QianGong is built around digital employees, Skills, workspaces, and records that can be reused and governed.

A digital employee is the role users choose for a task. A Skill is a reusable capability that can be bound to one or more employees.

Get started

Start with your first digital employee.

Turn expert know-how into reusable Skills and help your organization build its own digital employee team.

Book an enterprise demoJoin early access