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Case Study · AI Mastery

One conference talk became a manga, 20+ Reels and a full social campaign in days

A live talk turned into a 5-page manga, 20+ Reel frames, a video and social copy, every image made from inside one chat.

This creator took a single live conference talk and, within days, built a whole visual world around it. A black and white manga, two recurring characters walking through Hamburg, Reels, a video and copy for three platforms. It shows how far one person can go when they learn to make their AI tools work together.

Sonja Margot
A content creator who turns live talks into visual stories using AI tools.

OMR Hamburg 2026 Manga: Philipp Klöckner's Talk as a Visual Content Universe

Before

They had a live talk by Philipp Klöckner at OMR Hamburg 2026 and a transcript. Turning that into polished content for Instagram, LinkedIn and YouTube usually means juggling many tools, switching tabs and copy-pasting prompts. Keeping characters, facts and style consistent across dozens of images is slow, fiddly work.

“All delivered within days of the event.”

In their own words

The turning point

The shift came when they connected Higgsfield as an MCP server directly inside Claude. Suddenly scripting, fact-checking, character descriptions and image generation all lived in one place. They could generate, review and refine each image without ever leaving the conversation.

“Every single image in this project was created from within Claude using the Higgsfield MCP integration.”

In their own words

After

They built a manga universe with two recurring characters, Sonja and Markus, set in typical Hamburg locations. From transcript to manga pages, Reel frames, social copy, PDF, an interactive HTML slider and a YouTube video, the whole chain ran inside Claude. Every frame was refined again and again for likeness, hair, expressions, typography and factual accuracy.

What it lets people do

Their work lets audiences take in a dense conference talk as a short, visual story they can scroll through. It shows other creators a workflow where one live event becomes a full set of content for several platforms while staying true to what was actually said.

What they learned

They learned that removing the switching between tools is what makes fast, careful iteration possible. They also found that image models need very precise prompting for text and consistent characters, and that a structuring partner is essential for keeping the facts right from start to finish.

“Claude proved essential for structuring the entire workflow and maintaining factual accuracy throughout.”

In their own words

OMR Hamburg 2026 Manga: Philipp Klöckner's Talk as a Visual Content Universe was built during AI Mastery.

Read the full submission
Achievements I transformed a live conference talk by Philipp Klöckner at OMR Hamburg 2026 into a complete AI-generated visual content universe - including a 5-page black & white manga, 20+ custom Instagram Reel frames, an interactive HTML slider, a YouTube video, and full social media copy for Instagram, LinkedIn and YouTube. All delivered within days of the event. Tools: - Claude.ai Sonnet 4.6 - scripting, prompting, character development, copywriting, fact-checking - GPT Image 2 via Higgsfield - manga illustration, character consistency, Reel frame generation - Higgsfield MCP Server - connected directly inside Claude.ai, allowing all image generation to be triggered, iterated and refined without ever leaving Claude. Every single image in this project was created from within Claude using the Higgsfield MCP integration. Methodology Starting from the original transcript, I built a consistent manga universe with two recurring characters (Sonja & Markus) across typical Hamburg locations. By connecting Higgsfield as an MCP server inside Claude, I could generate, review and refine every image in one seamless workflow, no switching between tools, no copy-pasting prompts. Claude handled the scripting, fact-checking against the transcript, character descriptions and iterative prompt refinement, while GPT Image 2 rendered the visuals - all from a single chat interface. Every frame was iteratively refined, correcting character likeness, hair, expressions, typography and factual accuracy. The workflow moved from concept → transcript analysis → manga pages → individual Reel frames → social copy → PDF → HTML slider → video, entirely inside Claude. Learnings The MCP integration is a game changer. Having image generation directly inside the AI workflow eliminates context switching and makes iterative refinement dramatically faster. GPT Image 2 excels at style consistency but requires very precise prompting for text rendering and character consistency. Claude proved essential for structuring the entire workflow and maintaining factual accuracy throughout. Relevant URLs - LinkedIn: https://www.linkedin.com/posts/sonja-margot_omr2026-ai-aiinvesting-activity-7462457918991527937-DRGR?utm_source=social_share_send&utm_medium=member_desktop_web&rcm=ACoAABSCjTcBIeg3zcwRaGI-hIaMUnXvBWpJTnc - Youtube: https://www.youtube.com/watch?v=dLzivH4nO1A&list=PLS5LtTDtVMyIOHknHZr4fmSrP5SGR5SXc - Philipp Klöckner's original talk: https://www.youtube.com/watch?v=YNavwk7qk24&t=1146s - Instagram: https://www.instagram.com/reels/DYX9Esut24x/

Written 2 August 2026 Submitted by the storyteller

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