OpenAI Ecosystem
To move beyond the conventional thinking of Large Language Models (LLMs)... like asking ChatGPT to "generate a magical story" and getting a predictable Harry Potter-style result; I craft imaginative, real-world dynamics that encourage LLMs to delve deeper into meaning.
SEE RELATED CASE STUDY
Client
Various (including documentary directors, marketers, and production teams)
Type of support
AI Consultant, Creative Strategist, Custom GPT Developer
Number of mandates
100+
Expertise
Custom GPT Development, AI Integration, Content Strategy, Automation
Project Overview
Since 2020, Raphael has developed over 100 custom GPTs and 30 automations to enhance creative workflows, streamlining processes such as project management, brand research, ideation, and content creation.
Creative steps
01. Pinpointing needs
The initial step involved gaining an in-depth understanding of each client’s needs through detailed conversations. By asking targeted questions, Raphael helped clients articulate the challenges they faced, which he then translated into foundational requirements for custom GPT development. This phase also included additional research using tools like relevance AI and web scraping to enrich the initial dataset.
02. Creating a Concept
After gathering the foundational information, Raphael developed the first instruction set for each GPT. He tailored these initial instructions to address the client’s specific needs, ensuring the GPT would be highly relevant and practical. The concept phase also involved working closely with clients to refine the approach and ensure alignment with their objectives.
03. Fine Tuning
Flexibility and responsiveness were critical during this phase. Raphael adjusted the GPT’s responses based on client feedback and ongoing testing to improve the accuracy and effectiveness of outputs. Regular testing sessions with clients ensured that each GPT provided value, not just in functionality but also in the quality of interaction.
04. Setting the Stage
With the instruction set and GPT fully developed, Raphael focused on integrating the AI tool into the client’s existing workflow. This included coordinating the testing phase and providing detailed guidance on how the client could best use the GPT. Raphael also ensured that a seamless integration plan was in place, aligning the AI capabilities with the client’s specific goals.
05. Bringing the Project to Life
The final phase was deployment. Raphael worked closely with the client during the rollout, ensuring smooth operation and real-time adjustments as needed. He also helped clients discover new use cases for their GPTs, expanding their potential beyond the initial scope. Raphael’s approach made these AI tools not only functional but also enjoyable for clients to interact with.
Pinpointing Needs
Creating a Concept
Fine Tuning
Setting the Stage
Bringing the Project to Life
Working with Raphaël has been both enriching and enjoyable. He brings creativity and accessibility to the table. His tools accelerate ideation and planning while ensuring seamless execution from start to finish.
Co-Founder Haven Creative Space
Raphael's unique blend of creativity, work ethic, and approachability makes him an invaluable asset. I wholeheartedly recommend him to any world-class client
Legend in Aviation – Airbus
He doesn't just rely on technology for precise analyses; he also enhances his results with active listening and a deep emotional sensitivity.
Founder – Centre I AM coaching
Its positioning as the “Joker AI” perfectly echoes its versatility: it steps in with precision, regardless of the challenge, and brings new opportunities to light.
Lecturer | Communication Marketing
We are extremely happy with the work of Raphaël and his team. The level of creativity, productivity and teamwork is of very high quality.
Edtech founder | Canada’s Top 100 Most Powerful Women
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