hensq .com
Shen Qi

Shen Qi (hensq)

AI Agent Practitioner
Shen Qi documents how AI agents take ownership of real business work through pilot design, evaluation, SOPs, human handoff, and anonymized field cases.
Daily progress on X → GitHub → Read field notes → Browse problem paths →
Why this work

Let agents take more accountable work while people and organizations move forward

I am not building another chatbot. I am testing whether an AI agent can receive work continuously, use tools, deliver an accepted result, remain inside an explicit permission boundary, and transfer complete context when a person must decide.

This site is a public workbench. I document how work boundaries expand, how process speed and delivery quality change, whether customers experience a real improvement, and whether that improvement reaches conversion, revenue, or margin.

All business cases are anonymized. I do not publish company identities, contacts, private messages, prices, routes, or claims that the available evidence does not support.

Current public experiment
In progress
Current
An anonymized agent work-ownership experiment
Testing whether an agent can move from a single task to responsibility for a bounded work result while tracking speed, quality, exception handoff, customer outcomes, and human effort.
Working mode
Building in public · Judgment-led
Practice
Enterprise AI agents and work design
Focus
Work ownership / Process and customer outcomes
Possible areas of work

Validate in public before discussing a larger engagement

The first priority is durable, reviewable field content. These are the areas where the method may become useful in a real organization.

Direction and pilot decisions
Clarify where a company should start, which process is suitable for a first pilot, and which result should be tested first.
Executive learningPilot designDecision framing
Role training and adoption support
Connect AI learning to the actual work of sales, service, operations, content, and other business roles.
Role trainingAdoptionDaily work
Knowledge and SOP reconstruction
Turn scattered rules, FAQs, experience, and documents into a maintainable knowledge boundary for people and agents.
Knowledge baseSOPRules
Workflow and ongoing service design
Connect agent tools, automation, and existing processes while designing permissions, handoff, rollback, ownership, and maintenance.
AI agentsWorkflowsHuman handoff
Contact
Working on an enterprise AI decision?
If the company is choosing a pilot, training a role, organizing knowledge, or connecting an agent to a workflow, email the industry, process, and hardest current uncertainty.
The most useful first message includes the industry, the role or process, and one decision that currently feels blocked.