OpenAI 2026 hackathon

AI Presentation Partner

Born from an AI manzai experiment, AI Presentation Partner turns formal solo presentations into lively, human-authored dialogues with an AI character.

Solo project by Ayaka Wada · 0 likes · 0 comments

Archive position — measured, not model output

0 likes on Devpost

2,264 of the 7,856 archived projects have more likes, and 5,592 share exactly 0 — so this project's #2,510 place in the like-ranked listing is a tie-break inside that group, not a ranking.

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Likes on Devpost. ▲ marks this project's group.

Show the figures
LikesProjectsShare of archive
05,59271.2%
11,75822.4%
22853.6%
3–41321.7%
5–9751.0%
10+140.2%
Devpost like counts for all 7,856 archived projects, captured when this archive was built.

Executive Summary

What the company appears to be

The author describes AI Presentation Partner as a local application that transforms solo presentations into dialogues with an AI character. The AI acts as a partner in the presentation, not a replacement, and the human remains the author of content. It includes features like a presentation editor, slide integration, audio cues, timer, and MP4 export.

What changed

The project evolved from an AI manzai experiment into a functional tool for improving formal presentations through structured dialogue and AI assistance.

Single most important open question

Is there any evidence of traction, revenue, or customer adoption beyond the author's own development and submission to a hackathon?

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What The Product Actually Is

The description states that AI Presentation Partner is a local application designed to turn solo presentations into dialogues with an AI character. It includes:

  • A presentation editor
  • A 60-second self-introduction template
  • Custom slides and character artwork
  • Prepared local audio
  • Presenter preview
  • Space-key progression
  • Elapsed timer and remaining-time warnings
  • MP4 export

The system is built using Python, JavaScript, HTML, CSS, and integrates with OpenAI's GPT models (specifically Codex and GPT-5.6) during development.

Inference The product runs locally and does not make live API calls during presentations, relying instead on pre-approved content.

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Positioning & Claim Evolution

The author states that AI Presentation Partner was inspired by an AI manzai experiment, a Japanese comedy format involving back-and-forth between two performers. This concept is repurposed for formal presentations to make them more engaging and human.

Claim

The tool does not aim to replace the human presenter but rather to support them through dialogue, timing, and character interaction.

Inference The positioning shifts from a comedic experiment to a practical aid for public speaking, emphasizing human authorship, reliability, and privacy.

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Target Customer & ICP

The description does not explicitly name target customers or define an ideal customer profile (ICP). It implies the tool is for individuals who give formal presentations and want to make them more engaging or easier to deliver, especially when dealing with difficult topics.

Inference The likely user base includes professionals in corporate settings, educators, or public speakers seeking a structured yet flexible way to improve their presentation delivery.

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Business Model & Pricing Evidence

There is no evidence of any business model or pricing structure. The project is described as a hackathon submission and does not mention monetization, subscriptions, or sales channels.

Not evidenced No indication of how the product would be sold or whether it has a commercial offering.

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Technical & Delivery Signals

The system is built with:

  • Local Python server
  • Browser-based editor and presenter interfaces
  • Pre-approved audio, subtitles, slides, and dialogue cues
  • Synchronization of media elements (slides, audio, timer)
  • No live LLM or external API calls during presentations

Key technical detail

The system binds only to 127.0.0.1, ensuring privacy by keeping all data local.

Inference The tool prioritizes reliability and user control over dynamic AI generation, which aligns with its stated goal of avoiding improvisation or unexpected wording.

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Traction & Maturity Signals

The project is described as a hackathon submission, built during Build Week. It includes:

  • A functional editor
  • Presenter mode
  • Project persistence
  • Validated media uploads
  • Prepared local voices
  • Timing support
  • Privacy boundaries
  • Keyboard progression
  • MP4 export

Not evidenced No evidence of user adoption, revenue, or usage metrics beyond the author’s own development and submission.

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Competitive Context

The description states that most AI presentation tools focus on generating slides or rewriting scripts, whereas AI Presentation Partner focuses on AI as a partner in performance, not replacement.

Inference The tool positions itself differently from mainstream AI presentation tools by emphasizing dialogue, timing, and character interaction over content generation.

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Key Risks & Red Flags

  • No commercial traction or revenue evidence: The project is a hackathon submission with no known users or monetization.
  • Limited scalability: It's a local application; no indication of cloud-based features or multi-user support.
  • Single-person team: The entire system was built by one person, raising questions about long-term maintenance and growth.
  • No external validation or third-party feedback: All information is self-reported.

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Diligence Questions To Ask The Founders

  1. What is the intended path to market for this tool?
  2. Are there any plans to monetize or commercialize the product beyond personal use?
  3. How does the team plan to scale beyond a single developer?
  4. Has the tool been tested with real users outside of the author’s own experience?
  5. What are the long-term technical maintenance and update plans?

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Investment/Partnership Verdict

Not evidenced No data on revenue, customers, or traction exists beyond the author's description.

Confidence level Low — this is a self-reported, unverified project submitted to a hackathon with no known commercial activity.

Verdict The tool appears to be an experimental prototype built by one person. It has a clear idea and some functional elements but lacks any evidence of traction or commercial viability. It may be worth exploring further if there are plans for product-market fit validation or user testing, but it is not currently a viable investment or partnership opportunity based on the provided information.

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Source

Submitted to the OpenAI 2026 hackathon on Devpost. Project home on DevPost.

The analysis above was generated by a language model from the project's own one-line description. It is not independent research and contains no verified traction, revenue or customer data.