Stealth Startup

The platform that the system is working on
Marketing agent sending logo for approval
Interactive Conversations
CTO Agent making changes to the github repo and git committing to the repository

⚙️Inspiration

The inspiration for Stealth Startup came from the idea of automating the entire process of building a company. We wanted to create intelligent agents that simulate the roles of a CEO, CTO, and Marketer, each contributing to building out a startup from scratch, mirroring the experience of launching a real-world tech startup and seeing how a particular idea would play out in a given market.

💻What it does

We were able to create the first fully self-functioning startup run purely by AI, there's no human interaction to re-iterate the business plan, refactor some of the code, or even change up the colors on the logo AI-generated — it's the agents that are 100% in control of the iteration of all aspects of the startup. Stealth Startup is a simulation platform where AI agents act as key team member agents—CEO, CTO, and Marketer—who collaboratively build a startup. The CEO agent handles market research, generates business strategies, and designs the business plan — note that we connected it to the web to get the latest insights. The CTO agent directly modifies the codebase and pushes updates to a real GitHub repository — it's able to go through the entire codebase of the startup the agents are building, make actual changes to the code, and commit these changes to their personal repository. The Marketer agent designs and creates logos and branding materials for the startup — it's able to literally generate relevant logos based on the startup idea and iterate on the design based on consulting with the other agents. These AI agents communicate on Slack wherein they can have discussions between team members and provide updates to one another in various channels. The agents came together and ended up building a 911 dispatch assistant web application built fully in React by the CTO agent.

The Video

In the video, the platform you see at the start is what it has been iteratively building from scratch. When we run the agent, the CMO realizes the logo should be changed, designs a new one, and then sends it to Slack. Then, the CTO understands this change and updates the codebase to use the new logo, then pushes this code to its GitHub. This process is entirely self-automated.

🛠️How we built it

We built Stealth Startup by developing specialized AI agents using Cohere's language models to generate realistic business strategies, technical code, and marketing content. Each agent was given distinct tasks: the CEO generates business plans, the CTO agent integrates with the GitHub repository to make real-time code changes, leveraging Groq for fast AI inference, and using headless browsers on Vercel v0 for versioning and deployments. The Marketer agent uses Flux 1 to create logos and branding materials. All these agents are orchestrated through a Dictator class that manages the workflow and ensures smooth communication between the agents, simulating the creation of a full startup. Additionally, we gathered 40+ applicants via Linkedin to apply to our company's intern posting that was generated by the CEO agent and had it select candidates to hire.

Sponsor Appreciation

We used Cohere to make our agents smart and reliable. Cohere Connectors for access to the internet and tool calling, structured outputs for consistent information retrieval with agents and Command R for better reasoning. We used Groq for fast Llama inference in our SWE agent that powers our CTO.

⛓️‍💥Challenges we ran into

One of the main challenges we faced was coordinating interactions between the different agents to ensure they communicated effectively and followed a logical workflow. Another hurdle was implementing the CTO agent's ability to make real-time code changes and push them to a separate GitHub repository without errors, along with ensuring the Marketer agent generated high-quality, relevant logos.

🎉Accomplishments that we're proud of

We're particularly proud of successfully integrating multiple agents into a cohesive, collaborative environment. Our CEO agent can generate a detailed business strategy, while the CTO agent actively modifies and pushes code to GitHub, and the Marketer agent designs branding materials—all of which function together as if they were real startup team members. This simulation not only automates key startup processes but also demonstrates how AI can work together in a structured environment with proper structuring of instructions.

🔍What we learned

Through this project, we learned the complexities involved in automating the roles of startup team members and how to orchestrate various AI agents to simulate real-world tasks. We also deepened our understanding of API integration with tools like GitHub and Replicate, as well as managing workflows between different AI-driven agents.

📢What's next for stealth startup

Our next step is to expand the capabilities of our agents, allowing for more complex decision-making and interactions, such as hiring new agents for additional roles like Product Manager or UX Designer. We also plan to refine the CEO's strategic decision-making and the CTO’s ability to manage larger codebases, while expanding the marketer's role to include full branding strategies and marketing plans.