Shen Qi
Shen Qi · hensq
AI Agent Practitioner · Building in public

Move AI agents from isolated tasks into accountable work

Field notes on AI agents taking ownership of real business work—covering process design, human handoff, knowledge boundaries, customer outcomes, and measurable growth.

Real work
From one task
to a bounded result
Customer value
Faster response
more reliable delivery
Evidence
From process metrics
to growth outcomes
Anonymized field tests
Failures included
Public operating method

From model capability to customer and operating outcomes

A demo is not enterprise value. I test whether an agent can own bounded work, improve the full process, create a visible customer change, and eventually affect operating results.

01
Work ownership
Define the trigger, result, permission, acceptance rule, and owner before expanding responsibility.
Observable
Make the boundary testable
02
Process and customer
Measure cycle time, delivery quality, repeated contact, and waiting—not model latency alone.
Reviewable
Keep an evidence chain
03
Growth and governance
Connect customer improvement to capacity, conversion, retention, and margin while preserving audit, rollback, and human responsibility.
Correctable
Expand only with evidence
Field project · Cross-border logistics

From a freight inquiry
to a bounded AI workflow

The public case separates field extraction, rule retrieval, exception handoff, review, and write-back without exposing client identity, prices, or unverified results.

Freight forwarding Commercial operations Human handoff
Read the anonymized case →
Workflow sequence
1
Receive and preserve the inquiry
2
Extract fields and find missing information
3
Retrieve rules with sources and validity
4
Hand exceptions to the right person and write back