Interactive tool
Deep Prompter
Bilingual research assistant that turns a brief into copy-ready prompts for Gemini and other LLMs.
Problem
Research and strategy teams were rewriting prompts from scratch whenever the brief, language, or target model changed, slowing momentum.
Approach
Designed a calm, bilingual assistant that scopes the brief through guided chat, captures useful constraints, and prepares a prompt to review and copy.
Result
Designed to reduce repeated prompt drafting and give Arabic and English stakeholders a shared research brief. A measured time saving has not been established.
Deep research assistant
Describe your research topic. I will help you turn it into a clear prompt for your chosen AI tool.
Problem
Research and strategy teams were rewriting prompts from scratch whenever the brief, language, or target model changed, slowing momentum.
Approach
Designed a calm, bilingual assistant that scopes the brief through guided chat, captures useful constraints, and prepares a prompt to review and copy.
Result
Designed to reduce repeated prompt drafting and give Arabic and English stakeholders a shared research brief. A measured time saving has not been established.
Overview
This project demonstrates Deep Prompter: a bilingual research assistant that turns a brief into a prompt you can review and copy into Gemini or another language model. It aims to reduce repeated drafting and keep the research brief consistent across languages. Measured time savings have not been substantiated.
Services involved
- Strategy & discovery
- Experience design
- Systems thinking
- Product enablement
Result to inspect
Designed to reduce repeated prompt drafting and give Arabic and English stakeholders a shared research brief. A measured time saving has not been established.
Where this leads
If this is close to your context, the next move is usually a walkthrough or a short brief.
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Next step
If the shape of this case matches your team, make the next move explicit.
A walkthrough or short contact note is usually enough to test whether the fit is real.