Hire an AI reference-based product photoshoot planner

Everything it can hand back

Your task sets the actual outputs. The specialist picks the methods that cover them.

• A product truth sheet, fit-ranked look selection and shot plan.
• A pilot and generated images where tools allow.
• A per-ratio QA record, review deck and versioned export set.

How it does the job well

• Start from the user's task and the content, then the layout. Decoration comes last.
• Design every state: empty, loading, error, long text and mobile.
• Keep one visual system. Reuse spacing, type and colour tokens instead of one-off values.
• Check text contrast (at least 4.5:1 for body text) and keyboard focus as you go.

Mistakes it avoids

• Designing only the happy path at desktop width.
• Copying a reference's logo, text or claims instead of learning from its structure.
• Handing over a picture without the sizes, tokens and behaviour a developer needs.

What a good result looks like

An example, not your task: You want to choose looks from a campaign photo library.

• Product truth sheet. The exact variant, colours, label text and how the product looks in use.
• Look selection and shot plan. Reference looks ranked by fit, with what to keep, swap or drop in each.
• Pilot image. One test frame checked against your real photo before the full set is made.
• Checked image files. Final images in each size you ask for, such as 4:5, 1:1 and 9:16.
• Review deck and QA record. Shot IDs, versions, reasons for each look and which frames passed inspection.

How the work is checked

• Every screen has its states, breakpoints and interactions written down.
• Colour pairs and type sizes pass the stated contrast checks.
• The handoff names components, tokens and open questions.
• States which checks passed, failed or could not run, and names missing inputs.

These checks have not been run against a model yet. Your AI uses them to check its own work.

A second opinion

Before it hands back, your AI reviews the draft the way Jakob Nielsen would. This is a way of reviewing the work. It does not mean they wrote or endorse it.

Capabilities

• Lock product truth. Identify exact variant, real anchors, use geometry and what cannot change.
• Choose transferable looks. Rank reference fit, keep individual direction and build one shot plan per look.
• Review every frame. Make a pilot, adapt sizes, inspect actual outputs and retain revision history.

How the role works

1. Checks your task, context and available tools.
2. Picks the methods needed and prepares a work plan.
3. Carries out supported tasks, with each method's limits and review gates.
4. Checks the real deliverables and corrects supported faults.
5. Hands back files, evidence and unresolved gaps.

Your specialist's working setup

Download the base specialist without a task form or account. README.md and SETUP.md explain how to use the folder. SOUL.md defines its scope. INTAKE.md asks missing questions inside your AI. PLAYBOOK.md, SKILLS.md, BEST_PRACTICES.md, CHECKS.md and HANDOFF.md guide the work and its checked deliverables.

Complete associated skills, supporting files and licences are included. Choose only the methods needed for the actual task. Keep context, working files and accepted feedback in your AI project.

Use this specialist through MCP or the API

Call prepare_specialist with role_id reference-library-photoshoot only. No task is required to load it. Your AI asks what job you need done, what you want back and which relevant context it can use.

For task-led hiring, call find_specialist, explain the suggested specialists and let the user accept or change the team.

Complete ZIP: Download base specialist. API: GET /api/v1/specialists/reference-library-photoshoot/pack. The host AI supplies its own model, tools and execution; a pack does not connect accounts or run a task.

Inputs and helpful context

The specialist starts from the task brief. Only active methods require their inputs.

For the primary method, when used

• Real photos of the exact variant, including how it is worn or used.
• Brand art direction and a reference-photo set.
• Chosen placements, aspect ratios, count and budget.

Functions and deliverables

• Reference-based product photoshoot planner: Pick photo looks for one real product. Get a shot plan, a pilot and checked files in each size you ask for.
  • A product truth sheet, fit-ranked look selection and shot plan.
  • A pilot and generated images where tools allow.
  • A per-ratio QA record, review deck and versioned export set.
• Reference-style product photo maker: Make product photos that match a look you like. Attach your product and one reference photo. Get an image prompt and ranked pictures.
  • A five-part reading of the reference photo
  • A keep, swap or drop line for each part
  • The finished image prompt, ready to paste
  • If your chat can make images, the pictures ranked with a score out of 100, and a reject list
  • If it can't, any of the four checks the prompt still missed
• Product photo shoot planner: Plan a product photo shoot where every picture matches. Give it your product photos and colours. You get a style sheet and a prompt for each frame.
  • A six-line style sheet for the whole set
  • A frame list, each with its job, distance, angle and what it shows
  • One prompt per frame, plus a check of the whole set side by side
  • An optional plan for a 6 to 8 second loop clip
  • Any check the set still missed, one line each
• Product shot list writer: Write a product photo shot list with a reason for each shot. Give it your product and where the photos will run, and get a plan for your shoot.
  • A shot list with direction for each shot
  • A reason for each shot
  • A list of what not to do
• Brand profile builder: Share your website. Get a reusable profile covering your products, customers, voice and approved claims, with sources.
  • A folder of eight plain files, from a start file for your AI to a claims list and a change log
  • A tag on every fact, and every claim marked approved, pending or banned
  • A two-sentence diagnosis of your biggest gap, and a list of what's missing and who can answer it
  • A short slice for your next step, if you name one
• Jakob Nielsen: Review a website, app or form through Jakob Nielsen’s recorded approach. Find likely usability problems and plan small rounds of realistic user tasks.
  • Your problem worked on the way Jakob Nielsen would: their questions, their method, their push-back
  • The answer or the work, in Jakob Nielsen's voice, using their ideas by name
  • Anything that goes beyond their public record, marked
  • One suggested next step

Tasks you can use it for

• You want to choose looks from a campaign photo library.
• You need one exact product shown consistently across a reviewed set.

Limits to check before starting

• You only have rough phone photos and want a quick set: use Product photoshoot planner and producer.
• You only need to plan the shots, not make them: use the Product photo shoot planner.
• You already have photos and want them checked for product accuracy: use the AI product photo inspector.

Best way to use this role

Give it one clear outcome, the actual files and a definition of done. Keep the work in one AI project so it can reuse checked context and earlier files.

• Download the complete pack and give its instructions to your AI.
• Have an image tool ready. Many are paid or need credits or an API key.
• Send your real photos of the exact variant and your reference photos. The AI writes the truth sheet first.
• Check the truth sheet against the real product, then pick the looks you want, or ask for a shortlist.
• Approve one pilot frame before the rest of the set is made.
• Review the QA deck, then send back any frame to fix by its shot ID.
• Check each final frame against your real photo before you publish it. If you only need the plan, stop after the shot plan.

Read it as data

Read the complete role setup as JSON. Connect your AI to the AI Blocks MCP library and read aiblocks://roles/reference-library-photoshoot for its role instructions and pinned sources.

This is a prepared AI role. No task has run. Your AI carries out authorized work using its available tools and reports the actual deliverables and checks.