Harvard Business School is offering entrepreneurs access to AI versions of seven faculty members through an eight-week online bootcamp priced at $699. The program, run under HBS Foundry, lets participants rehearse investor pitches, sales calls, and board presentations as many times as they want before facing real mentors or investors. According to the report, graduates may also get a chance to compete for a $100,000 investment, and 760 entrepreneurs have already taken part. The project started in 2024 and was initially built as a text-based adviser similar to ChatGPT. After a trial launch in October 2025, the team rebuilt it into a structured simulation format based on user feedback, then officially launched it in April this year. The AI avatars span venture capital, business model design, board governance, and startup strategy. One of them is Jeff Bussgang, co-founder of Flybridge Capital and a senior lecturer at HBS. HBS says the bootcamp is not a degree program and carries no academic credit. The school frames it as a way to extend entrepreneurial support to people who may never study at Harvard or gain access to elite innovation networks. Still, the report notes clear limits: AI can repeat explanations and answer endless questions, but it cannot truly know a student in the way a human professor can.

Harvard Business School has introduced a startup training program called HBS Foundry, with tuition set at $699. The program will feature AI avatars of its instructors, which are designed to give participants feedback during simulated pitch sessions and board meetings. The item was reported by Techub News, citing TechCrunch. The available details are limited, but the core structure of the offering is clear: it is a paid entrepreneurship program tied to Harvard Business School and includes AI-based virtual instructor support as part of the training process. The AI component is positioned inside practical exercises rather than as a separate tool, with feedback delivered in settings meant to mirror startup fundraising presentations and boardroom discussions.

Decrypt published a detailed walkthrough showing how sellers can build short product ads for TikTok and YouTube with AI tools that are free or close to free. The workflow starts with a clean product image, moves through ChatGPT for product-consistent model shots and a 10-second script in JSON, then uses Google Flow with Gemini Omni to generate talking video clips, and ends with CapCut for trimming and subtitles. The article also breaks down pricing: Google Flow gives non-subscribers 50 free daily credits for Veo 3.1, while Omni requires a paid Google AI plan, though Google also offers Omni at no cost inside YouTube Shorts and YouTube Create for users 18 and older. Decrypt included platform rules as well. TikTok and YouTube both allow AI-generated promotional videos, but they require labels for realistic AI media and separate disclosure for commercial relationships. The piece closes with a reminder that cheap tools do not mean easy sales, citing Third Eye Insights president Camille Moore, who said that more than half of the 803,500 TikTok Shop stores operating in the U.S. last year recorded zero sales.

Project Pai (PAI) is the world's first blockchain-based personal artificial intelligence protocol, enabling users to create, control and monetize their own AI avatars. This article explores its architecture, applications, and market potential.

Project Pai is a public blockchain protocol for personal artificial intelligence. It enables users to create, control, and manage their own AI avatars (PAI) while earning rewards from data contributions. This article explores its core modules and market potential.

HolmesAI and MetYa partner to create autonomous AI avatars for SocialFi and DatingFi, enabling users to interact in Web3 without direct input. The collaboration aims to boost digital identity trust and is seen as a potential catalyst for the next crypto bull cycle.