Frame the paradigm, forge trustworthy intelligence

A full-domain agent visual development and governance tool — making the process of agents building agents visible, controllable and auditable.

DevMonitor is a governance tool for AI agent developers: it auto-imports GitHub repositories and parses README and local project documents to anchor knowledge; it treats the REST API as the single source of truth while progressively connecting MCP services and webhooks; every AI output is diffed in real time against the planned path, and an LLM generates correction instructions that automatically distinguish valid changes from plan drift.

The faster AI writes code, the higher the cost of veering off course. DevMonitor builds quality guardrails into the workflow — bringing every AI iteration back to the plan.

A digital-double workshop for educator IPs — content at scale, dialogue with boundaries.

For the education and training industry, we build digital-human operation tools for educator IPs: turning a teacher's IP into a digital presence that powers digital content production, batch generation of enrollment and acquisition materials, and day-to-day operation of an IP content matrix.

A digital human's value lies in scale; its risk lies in losing control. We constrain content boundaries with rules — amplifying the IP, never letting AI impersonate it.

A digital foundation and paradigm factory for industrial scenarios — delivering trustworthy, controllable, deployable intelligent foundations.

Focused on industrial protocol parsing, multi-layer business validation and data paradigm building, it connects downward to real industrial sites (device monitoring, workflow orchestration, automated execution) and upward to industry solutions. Agents handle large-scale automation and reasoning; the rule engine provides rigid validation, while fact-checking, risk control and accountability ultimately anchor on people.

No floating AI concepts — we deliver digital foundations that run on real industrial sites. That is the ground this line stands on.

A quality gate for AI output — calibrate first, then go to production; hallucination never enters the business pipeline.

For foreign-trade AI acquisition and document processing, we build data calibration and document validation: every AI-generated document element, translation and figure is checked item by item against its real source — customs data calibration, document element validation, and fact-checking of AI acquisition content keep "formally complete machine output" inside the boundary of truthfulness.

In foreign trade, one wrong digit in a document is real money at risk. We put a human-auditable gate in front of AI output with "calibration + validation" — a gentleman may be deceived by what looks plausible, but never misled against the Way.

Rule-driven organizational intelligence — turning hiring and strategy principles into traceable paradigms.

For organizational HR and strategic decision scenarios, we develop two AI assistants: the HR matching assistant matches role profiles with talent profiles, crystallizes hiring standards into explicit rules and supports organizational HR decisions with a fully traceable evaluation process; the strategy assistant supports strategic reasoning and planning so that every inference is clearly structured and every step is grounded.

Organizational decisions are the last place for guesswork and black boxes. We keep AI suggestions inside human-defined paradigms — AI reasons, people weigh.