Round 2 batch submitted and scored by Sara. Average 3.14/5. Per-SKU feedback sent back to Dagiga June 16. Next iteration expected this week.
Magnific and Higgsfield tested on Floward products and external luxury references (D&G, Gucci, Tommy Hilfiger). Sara approved Approach 1: Higgsfield Create Image + Nano Banana Pro.
2 cake SKUs approved after QA. 2 in rework (gold lettering, diameter, texture corrections). Dagiga to resend this week.
AI disclosure copy edited and submitted for your review. Awaiting sign-off on tone before publishing.
SKU 6 — White roses, dark wrap, Floward ribbon
EN + AR both passedRibbon text correct — both English and Arabic readable, gold on dark navy
Product accuracy — flower shape, colour, and cone wrap all true to source
5 angles generated from one brief — pedestal close-up, full bouquet, overhead
Studio-grade quality — marble + wood pedestal, natural window light, no artefacts
3 of 5 generated angles shown
SKU 7 — Lily bouquet
Logo + emblem issuesThe flowers are right. The composition is right. The recurring issues are in the emblem rendering and the English logo — wrong style, wrong weight, or a hallucinated version of the mark. Specific, visible, and correctable.
AI is hallucinating the emblem on some SKUs — using the wrong font or a different version of the mark. Fix: provide a cropped reference of the correct emblem from a passing SKU (e.g. SKU 6) as a visual anchor.
Misha delivering close-up reference shots Monday.
The English wordmark renders with the wrong font weight or typeface on several SKUs. Fix: provide a close-up crop of the correct wordmark from a passing SKU as a visual reference in the prompt.
On hat-box and vase SKUs, proportions drift from the source product. Fix: provide a clean close-up of the container as a separate reference input — same approach as the emblem fix.
Each issue has one root cause and one input change to fix it. These are calibration problems, not capability limits. SKU 6 proves the ceiling — these are the SKUs that haven't reached it yet.
Higgsfield Create Image + Nano Banana Pro — Sara's pick. Handles Floward products, luxury goods, and gifts. Logo rendering accurate. Speed: under 3 min per asset.
These are a speed lane for non-Dagiga SKUs — not a replacement for the structured workflow.
Edited the website copy for AI-generated imagery disclosure. Sent for review. Waiting on your sign-off before it goes live.
🔗Misha (studio photographer) delivering close-up reference shots of ribbons, emblems, and containers on Monday. These go directly into the Dagiga brief as visual anchors to fix the 3 systematic issues.
Phase 1: 3 markets, selected SKUs only — highest-scoring outputs from R2 batch.
Stop condition: if conversion rate on AI-image listings drops more than 3% vs control, pause immediately and revert. Old images stay live throughout.
Reversible by design: AI images are added alongside existing photography, not replacing it. One toggle to revert.
Scale trigger: if score holds above 4.0/5 and conversion is flat or positive after 4 weeks, expand to next 3 markets + full SKU set.
Saudi Arabia, Kuwait, and Egypt are the recommendation based on volume, Gulf premium appetite, and distinct customer profiles. Qatar is the fourth option.
Markets confirmed · Score threshold for go/no-go · Rollout timeline (after R3 delivery)