Feng Human-in-the-Loop Structure: Quick Answers
5-Tier Dual-Track Dual-Loop Content Manufacturing Framework
1. Too Much Content?
Drop silos, build systems
Control costs, prioritize risk
Value delivery, data-driven
Embrace artistry, uphold principles
2. What Are the Core Assets?
Private corpus
Compute calibration model
Risk control baseline
Vertical LLM
3. How Do Human and AI Collaborate?
Human anchors, machines execute
Controlled pipeline
Hard gates
Parameter tuning intervention
4. What Drives It Beyond Philosophy?
A bidirectional closed-loop system
A data-driven engine
An agentic hub
An omni-integration base
Field-tested: one night, machines finished the job
Human sets the anchor, machines run the line — zero manual operation
The framework applied as a fully automated workflow: machines found their own way, filled in the details, submitted, and reported back; the human only set goals and answered when asked. Every number comes from a real run ledger, replayable line by line.
Results
A full night unattended, running on its own
Over half of attempts reached the finish line; the rest were targets already gone
Technical failures: 0
10,000+ task sources, 638 stale entries auto-purged
Who does what
Machines: navigate · fill · submit · report
Human: set goals · watch progress · step in when asked
CAPTCHA: machines stop and ask, never guess
Disconnect: resume from the breakpoint, start over never
How it was done
No hardcoded scripts; agents adapt on the spot
Every step logged, replayable, auditable
Failures are ledgered too, so the same one never repeats
Cut losses: one route failed 16 times — switched routes