How MIT Deployed 24 AI Assistants in 2 Weeks, Saving 500+ Student Hours

How MIT Deployed 24 AI Assistants in 2 Weeks, Saving 500+ Student Hours

Discover how MIT transformed its entrepreneurship course with AI, fostering innovation and creating enhanced learning experiences for students.

Client

MIT Martin Trust Center

Challenge

Students struggled with time-intensive tasks like market research, structuring pitch decks, and synthesizing interview insights.

Solution

MIT partnered with StackAI to build 24 tailored AI assistants, drawing on a centralized knowledge base of course materials, saving 500+ hours.

Overview

A storied university known for being at the cutting edge of technology, MIT was first in line to deploy a student AI assistant platform powered by StackAI to enhance its flagship entrepreneurship course, Disciplined Entrepreneurship. The platform helped students navigate all 24 steps of the course, supporting tasks like market research, pitch deck development, and business modeling. The result? Faster iteration, more student engagement, and over 500 hours saved, all built and deployed in under two weeks.

24 AI assistants deployed—one for each step of the entrepreneurship framework
500+ hours saved through automated research, synthesis, and structured guidance
250+ students supported, with faster iteration and deeper engagement

The Problem: Time-Consuming Research, Limited Feedback Loops

Students in the Disciplined Entrepreneurship course faced steep hurdles: time-intensive market research, synthesizing user interviews, and structuring pitch decks or business models—all with limited instructor feedback. These inefficiencies slowed iteration and diluted learning outcomes.

The Solution: 24 AI Assistants for 24 Steps

MIT was eager to partner with StackAI to build a customized AI assistant platform tailored to the Disciplined Entrepreneurship framework. The team created a centralized knowledge base containing course materials, entrepreneurial resources, and video content. From there, they built 24 dedicated AI assistants: one for each of the 24 steps students must complete.

These assistants were not just general-purpose chatbots. Each one was tailored to guide students through a specific deliverable, whether conducting market sizing, validating product-market fit, or writing a business plan. Using APIs, the MIT technical team deployed the assistants within their own interface, allowing students to interact with AI directly alongside the course content.

This end-to-end setup made it easier for students to stay focused, move faster, and get real-time help without needing to wait for instructor feedback.

Two Weeks to Launch. More Than 500 Hours Saved.

The platform was operational in just 2 weeks, demonstrating StackAI’s low-lift implementation even in high-stakes academic settings. Over 250 students actively engaged with the assistants during the course. With the AI agents handling research, synthesis, and structured feedback, students saved more than 500 hours—time that was reinvested in refining ideas and deepening learning.

In total, 24 assistants were deployed, each aligned to one of the entrepreneurial steps in the curriculum. The platform now plays a critical role in how students experience innovation at MIT.

MIT proved that AI can meaningfully enhance education when paired with clear, structured frameworks. By deploying StackAI agents across all 24 steps of its entrepreneurship course, students gained speed, clarity, and stronger feedback loops—setting a model for how academic programs can embrace AI responsibly and at scale.

“The Stack AI platform was paramount in easily building AI assistants for our students, in a matter of weeks. We were able to transform the students' learning journey ourselves, without the need to code or become an expert in AI.”

Doug Williams
Product Lead at MIT