what_you_need
Prepare the inputs before opening the apps
- A campaign goal and audience
- Three to five content pillars
- A topic list and call-to-action rules
- Brand voice and visual references
- Target platform dimensions
step_by_step
The working process
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1
Plan the campaign before generating
Define the purpose, audience, content pillars, selling frequency, and calls to action. A useful batch begins with a deliberate topic list, not ninety versions of the same generic idea.
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2
Generate the text batch
In Batch Generate Text with any AI, use a reusable persona and the required post formats. Preview a small sample first, then generate the broader batch only when the voice and structure are working.
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3
Generate a matching visual set
In Batch Generate Image with any AI, set a visual persona, reference direction, and ratios suited to the campaign. Keep enough variation for selection without letting the set lose its identity.
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4
Run a human critic pass
Remove repetition, hollow claims, awkward calls to action, unsafe advice, and images with obvious defects. Verify factual or product-specific claims against a trusted source.
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5
Prepare channel variants
Use Batch Resize Image to produce the dimensions each platform actually needs. Check crops on text-heavy images and keep platform folders separate.
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6
Create proofs when useful
Use Batch Watermark Image for client previews, draft packs, or branded sample sets. Keep clean masters and publish only the approved version.
human_checkpoint
Review before you call it finished
- Does every post say something distinct?
- Are factual claims and links verified?
- Do crops preserve faces, products, and on-image text?
- Is the final pack named clearly enough to schedule without guessing?
honest_boundaries
Limits and privacy
Practical limitation
Batch creation is not batch autopublishing. Human review is necessary for accuracy, taste, platform fit, and brand safety.
Privacy boundary
Text and image generation requests go to the providers you choose. Resizing, watermarking, file storage, and review remain local.
public_proof
A real output from this kind of workflow
faq
Questions worth answering
Should I publish everything the batch creates?
No. Generate for range, then reject aggressively. Volume is useful only when review prevents it from becoming repetitive noise.
Is this only for creators?
No. The same structure works for ecommerce launches, product education, events, and small-business campaigns.