TEMPLATES
Template → Same copy
- Template
- Same copy
GENERATIVE AI DEVELOPMENT
Generative AI development services for on-brand content and smarter shopping.
Generative AI development services from BRISTM turn your product data, brand guide and help docs into content and tools that work: product descriptions at scale, on-brand images and assistants that answer from your own knowledge. We build on Shopify and your current stack, ground every output in your data, and keep a person in review before anything goes live.
Agentic AI automation in numbers
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20+hrs
Saved per team, per week
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35
Faster response times
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3×
More workflows handled per team
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24/7
Automated workflow availability
GENERATIVE AI EXPLAINED
What is generative AI development?
Generative AI development is building software that uses large language models and image models to create new content, such as product copy, images or answers, from your own data and rules. Done well, it is grounded in your catalogue and brand guide, checked by guardrails and reviewed by a person before it reaches customers.
Template content drops different attributes into the same sentence, so every product page reads alike. A generic chat tool writes fluent copy but does not know your products and can invent details. We connect the model to your Shopify data and knowledge base through retrieval (RAG), so it writes from facts, in your voice, across the whole catalogue.
GENERATIVE
Brief → Generate → Review
- Brand brief
- Product data
- Retrieve facts
- Generate
- Check guardrails
- Human review
- Publish
Human approval before publish
OUR GENERATIVE AI PROCESS
From content bottleneck to a generative AI pipeline you can trust.
We pick one content job that slows your team down, teach the model your voice and facts, and build a pipeline that writes, checks and queues work for review. You approve a sample first, then we scale to the full catalogue.
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01. 01. Pick the content job
We find where content work piles up and which job gives the clearest return if AI drafts it.
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02. 02. Capture your brand voice
We turn your tone, approved claims and past best copy into rules and examples the model follows.
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03. 03. Build the pipeline
We connect the model to your data, add retrieval for facts and write results back to the right fields.
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04. 04. Test against your standards
We run a sample batch and score it with your team before anything goes near the live store.
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05. 05. Review, publish and scale
Approved items publish in batches from a review queue. We monitor quality and refresh prompts as products change.
HUMAN-IN-THE-LOOP AI
Generative AI guardrails that keep content accurate.
Generative AI is fast, but speed only helps if the output is right. We agree the guardrails with you before the build and test against them on every batch. These are the five we set up on almost every project.
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01.. Facts come from your data
Specs, sizes, ingredients and materials are pulled from Shopify fields, never guessed by the model.
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02.. Claims you cannot make
Health, safety and environmental claims are blocked unless you have approved the exact wording.
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03.. Brand voice checks
Each output is scored against your voice guide, and off-tone drafts are rewritten or flagged.
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04.. Images match the real product
AI changes the scene around a product, never the product itself, so shoppers get what they saw.
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05.. A person approves before publish
Copy and images wait in a review queue until someone on your team signs them off.
Our approach
We treat the model as a fast first-draft writer. Your data supplies the facts, rules catch the risks, and your team has the final word.
- Ground · Generate · Check · Review · Publish
GENERATIVE AI FAQS
Questions? We've got answers.
Still unsure? Write to us at hi@bristm.com and an AI specialist will reply.
Generative AI development services cover designing, building and running AI that creates content or answers from your data. At BRISTM that means product descriptions at scale, image generation, RAG knowledge assistants, custom GPT apps for your team, and brand voice rules and guardrails, all connected to Shopify and the tools you already use.
Yes. We pull attributes, specs and metafields from Shopify, generate descriptions, SEO titles, meta descriptions and alt text in your brand voice, and send them to a review queue. Approved copy writes back to Shopify in batches, and new products run through the same pipeline as they are added.
RAG, or retrieval-augmented generation, means the AI looks up relevant passages in your own documents before it answers. A RAG knowledge assistant answers staff or customer questions from your specs, policies and help centre, and shows the source it used, so answers are easy to check and far less likely to be invented.
We build a voice guide from your best existing copy: tone, words you use, words you never use, sentence length and approved claims. That guide and real examples go into every prompt. We score sample batches for tone with your team, adjust until edits are rare, and keep checking after launch.
We ground the model in your data, so facts come from product attributes and documents rather than its memory. Guardrails then check each output for claims you cannot make, missing facts and banned words. Anything that fails is regenerated or sent to a person, and nothing publishes without human approval.
Yes, for the right jobs: lifestyle backgrounds, seasonal banners, social assets and scene variations around existing product shots. We do not let AI change the product itself, because shoppers must receive what they saw. For detail-led categories such as jewellery or beauty, we keep real photography and use AI around it.
Shopify Magic and ChatGPT help with one product at a time. Custom generative AI adds your brand rules, your data through retrieval, bulk processing, quality checks and a review queue, and writes straight to Shopify fields. It suits catalogues, languages and workflows too large or specific for a general tool.
GENERATIVE AI INSIGHTS
Practical notes on AI content for commerce.
Short, honest guides for ecommerce and content teams on what generative AI does well, where it goes wrong, and how to keep quality high at scale.
Generative AI
Bulk product descriptions with AI: a review workflow that keeps quality high
A practical workflow for bulk product descriptions in Shopify, with human review checkpoints to keep product details accurate and quality consistent.
Generative AI
RAG explained for ecommerce teams
What is RAG? See how retrieval-augmented generation can power more useful product Q&A and help centre answers for ecommerce teams.
Generative AI
AI product images: what to generate and what to keep real
Explore where AI-generated product images can help—and where real photography matters for detail-led categories, returns risk, and clear labelling.
LET'S BUILD YOUR AI AGENT
Ready to put AI agents to work?
Tell us which workflow takes too much of your team's time. As an AI agent development company, we'll show you what can be automated, what should stay human, and how we'd build it.