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Huguang, spatial intelligence guide

FORMWEFT CLEAN ROOM · CREATIVE EVIDENCE

Study high-performing main images, but don't copy answers.

Extract verifiable variables from public samples, record sources, timing, and selection bias, then run controlled experiments with your own product assets.

Shouheng, AI governance and trusted boundaries

FIVE EVIDENCE STEPS

Five steps to turn references into your own experiments.

High sales, top ranking, or high engagement doesn't mean a specific main image caused the result; any pattern is first a hypothesis, not a fact.

QUESTION

Define the research question

Limit platform, category, price range, time window, and the decision to be solved, e.g., whether the first image should prioritize showing the product itself or the usage result, to avoid aimless collection.

Deliverables
Sample and research contract
Confirmation point
Questions can be answered through follow-up experiments.

FIXED RELEASE

Research methodology is public; third-party assets are not included in the package.

FORMWEFT clean-room original documentation Skill. MIT covers only the original documentation in this package; current fixed hash has passed structural validation and static review. External sample access only after user approves specific domains.

Not sure where to start? Copy a learning request.

You can download this reviewed version's resource package. If it includes SKILL.md, provide it and the related documentation to your AI tool; first read and check the materials and usage boundaries, and do not run anything automatically.

  1. Prepare assets: start with fictional or de-identified examples.
  2. Read the boundaries: confirm dependencies, inputs, outputs, and human checkpoints.
  3. Review outputs: keep source and failure records before deciding to pilot.

You can also select the text to copy directly; read it first before executing.

This version has been reviewed.1.0.0

Rewritten independently based on the Feishu directory topic clean-room, without copying or redistributing the original package text. Conclusions apply only to the current fixed hash: the archive structure has been parsed, static rule result is eligible, with 6 files and no scripts, dependencies, or install hooks; online boundaries follow the statements in this resource, and files are output only to user-approved locations. Static review cannot replace runtime environment, input data, or later-version rechecks.

Maintainer
FORMWEFT
License
MIT
Source type
Clean-room original rebuild
Network permission
On-demand online
Local programs
None; before studying external samples, must approve specific public domains and recording scope.
Review date
2026/09/04

Review scope

fixedHash
true
static
eligible
files
6
scripts
0
dependencies
0
installHooks
0
network
optional; user-approved domains only
filesystem
outputs only to a user-approved location
contentReview
completed
independentHumanSignoff
not claimed
SHA-256 · current download packagecc2c0f406957474be03c52b5e348b6ff30b5aebb84ebbc878e36b7022598a024

Lixing, FDE Pre-Deployment Engineering

Want to turn creative research into a sustainable growth capability?

Describe your category, market, channels, asset library, experiment traffic, and decision cadence, and we can continue to build sample libraries, experiment dashboards, asset management, and review mechanisms.