Evidence · first-party tested/creatify-ai

For physical products, the generator can under-emphasize the item visually, leaving the product secondary to the presenter.

⚠ Struggled🧾 artifact-verifiedinput + output shownTest date not recordedAKOOL
What was measured
Product understanding

Whether the tool gets the product right—its features, positioning, and audience—or produces generic or inaccurate messaging.

decisive for this rankingtransformation

If the tool misstates the product or writes generic messaging, it fails to produce a usable ad for the intended offer. (3 of 3 judges)

What was given, what came back

Test input: Nike Pegasus 41 – Physical Product · text
Input — what we sent
The exact prompt
Product URL: https://www.nike.com/t/pegasus-41-mens-road-running-shoes-LMhrRG/FD2722-002

Exact Script
Hook: These are my new favorite running shoes.
Script: I've been wearing the Nike Pegasus 41 for my daily runs, and they've been incredibly comfortable from day one. They're lightweight, well-cushioned, and great for everyday training. If you're looking for dependable running shoes, they're definitely worth considering.

Output Requirements
- Vertical (9:16)
- 20–30 seconds
- UGC-style AI presenter
- Natural AI voice
- Captions enabled

A short-form UGC-style testimonial ad prompt for a physical consumer product, designed to test product presentation, believable endorsement, and ad generation quality for e-commerce footwear.

Why this input is hard
  • · physical product understanding
  • · UGC testimonial quality
  • · product presentation
  • · avatar realism
  • · voice quality
  • · commercial ad readiness
Provenance
Observation
ec39d35f-6f0b-4290-9746-a96d61ecd141
Evidence run
f91a51ec-b400-46fe-97f5-7e779fe17532
Study
Generate UGC-Style Video Ads With AI Avatars
Research task
86baxegpg
Tested at
not recorded
Source
first-party
Evidence state
verified
Proof shown
input + output shown
Cost / latency
not captured
Repeat run
not captured
Tester
not captured

The last three rows are honest blanks, not placeholders — our capture has no field for them yet.

Query this
get_evidence({
  tool: "akool"
})
MCP · mcp.aidemos.com/api/mcp
Free with attribution.
Same input, same check — 4 other tools
measured on Product understanding
From the same study (page rebuilt from a later run)
Real inputs and real outputs, no retouching · every cell queryable via API & MCP · aidemos.com