Hire an AI product photoshoot planner and producer

Everything it can hand back

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

• A truth sheet describing your product
• An approved shot list with a light card for each shot
• A plan for each photo, and the looks you rejected
• The photos in every size you asked for, named by job, with a pass or fail line each

How it does the job well

• Start from the user problem and the evidence for it, then the solution.
• Write decisions down with the reason and the options you rejected.
• Keep scope small enough to ship and learn. Name what is out of scope.
• Define how success will be measured before building.

Mistakes it avoids

• Choosing looks first. You get handsome pictures and no scale shot.
• Every shot at mid distance in the same soft light.
• The reference's product, props, person or colours ending up in the photo.
• Posing the product in a way its shape doesn't allow.
• Treating opinions or one loud request as proven demand.
• Specs that skip edge cases, error states or dependencies.

What a good result looks like

An example, not your task: You need product photos for a product page, ads and email, and can't book a photoshoot.

• Truth sheet. What must stay true about the product: shape, colours, label words and how it opens, with MISSING where a photo is needed.
• Shot list. Each shot with its job, distance, angle and where it is used, plus shots left out and why.
• Light card. For each shot: main light position and size, fill, time of day, and a fix for your product's surface.
• References. Setups behind looks you like, with keep, swap or drop lines for each part.
• Plan per shot. Each shot's job, who is in it, and decisions where a reference and your product disagree.
• Photos. Every approved size, named by number, job and size, and marked as made with AI.

How the work is checked

• Every photo has a job, and no two share job, distance and angle.
• The product matches its real photo with the label zoomed to full screen.
• Shadows and reflections agree with each shot's light card.
• Both approvals were recorded before the set was made.
• 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

• Writes down the product. Records exactly how the product looks from its photos. No true photo of the variant means no shoot; no in-use photo means no in-use shots.
• Plans the shots. Each shot is a job, a distance and an angle, leaned toward your product page, ads or email. Always one close, one wide and one in harder light.
• Writes a light card. Where the main light sits, how big and soft it is, the fill, and the time of day. Glossy, matte, clear and white products each get their own fix.
• Finds references. Searched by the problem the shot solves, not your category. It writes the setup behind each one and what to keep, swap or drop.
• Waits for your OK. You approve the shot list, light cards and references before anything is made.
• Tests one photo. The product alone, in the main size. You approve it, and it becomes the look every later photo matches.
• Makes every size. Each size composed on its own from the same scene, never cropped from another.
• Checks at full size. Label zoomed to full screen, shadows against the light card, hands, props and files. Faults are logged, and repeats join the never-show list.

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 phone-product-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/phone-product-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

• One product and variant, named as you name it
• Real photos of that exact variant, including one of it in use
• Your brand facts (colours, photo style, places and props, what you never show, who buys and when)
• Where the photos go and in which sizes (product page 1:1, feed 4:5, stories 9:16, email 3:2)
• Reference photos you like (optional)

Helpful context (optional)

• A flat, straight-on photo of the label, so printed words can be checked letter by letter
• Product photos past customers liked, so the look starts from what already works for you
• Photos of the real props and surfaces you own, so the set uses real things

Tools and access

• Nano Banana: Takes several product photos plus up to 3 style references, and is Google's pick for brand consistency.
• GPT Image: Keeps the product close to your photos, and lets you point at one detail to fix it.
• Claude: Reads several product photos at full size and quotes printed words line by line with the photo they came from.
• Google Sheets: Keeps one row per variant, so the sheet and its lock lines are easy to find and update.

Functions and deliverables

• Product photoshoot planner and producer: Share real product photos, brand rules and placements. Get a shot and lighting plan, an approved pilot and generated photos where tools allow.
  • A truth sheet describing your product
  • An approved shot list with a light card for each shot
  • A plan for each photo, and the looks you rejected
  • The photos in every size you asked for, named by job, with a pass or fail line each
• Product image spec writer: Check your product photos and write a product image spec: a sourced truth sheet, lock lines for every prompt and the next photo to take.
  • A photo check saying which photos to trust and why the rest are out
  • A one-page truth sheet in seven parts, with a source on every line
  • Three to five lock lines that every prompt repeats word for word
  • The shots that can't be made yet, and the one photo to take next
  • Any check the sheet still missed, one line each
• 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
• 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 context file writer: Share product facts, audience and positioning. Get a reviewed context file that other marketing skills can reference.
  • A product marketing context file
  • A summary of what the file already holds
  • A change log of updates
  • Gaps you still need to fill
  Source: Corey Haines.
• 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 need product photos for a product page, ads and email, and can't book a photoshoot.
• Your AI product photos look nice but the product isn't quite right, or they all look the same.
• Your product is shiny, clear or white, and the light keeps going wrong.

Limits to check before starting

• You only want one quick picture that borrows the look of a single photo: use the Product image spec writer, or ask your AI for one image.
• You have no real photo of the exact variant: take one with your phone first, because the shoot can't draw a side it has never seen.
• You need real photos of real people using the product: book a photographer, since this makes AI photos with an invented adult cast.

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.

• Copy the workflow and paste it into Claude, ChatGPT or Gemini. ChatGPT and Gemini can make the photos; with Claude, paste each prompt into your image tool.
• Name the product and variant, attach your real photos (including one in use), and paste your brand facts.
• Say where the photos go and which sizes you need. It makes only the sizes you name.
• Approve the shot list, the light cards and the references. Nothing is made before you do.
• Approve the test photo, then let it make and check the rest.

Read it as data

Read the complete role setup as JSON. Connect your AI to the AI Blocks MCP library and read aiblocks://roles/phone-product-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.