Inspiration
We’ve always believed that the future of work is autonomous — where humans collaborate with intelligent agents to imagine, build, and scale ideas faster than ever before. At Write The Future, we wanted to push this vision into reality by asking: What if starting and running a company could be as easy as prompting an AI?
This project was inspired by our own experience as founders — juggling strategy, task management, hiring, product development, and API integrations. We wanted to create a platform where a single founder could have an army of AI agents acting as co-founders, developers, marketers, and project managers — all working in harmony to bring an idea to life.
What it does
Our platform lets you:
- 🌱 Create a Company from a simple idea prompt. Generate its logo, slogan banner, etc.
- 🧠 Generate AI Teams and Departments with distinct roles, skills, and goals.
- 📘 Auto-generate a Playbook that defines mission, vision, strategy, and operating procedures.
- ✅ Assign and track tasks through a collaborative AI Kanban board.
- 🔌 Integrate with third-party APIs like Stripe, Notion, GitHub, and others, enabling agents to perform real actions like deploying code, updating wikis, or sending emails.
In short: it's an autonomous company OS powered by AI agents.
How we built it
We used a combination of modern web technologies and AI frameworks:
- Frontend: Angular with Material for a clean and fast interface.
- Backend: Node.js, Firebase and GCP managing real-time agent actions and API integrations.
- AI: Gemini, VertexAI and Genkit for task planning, prompt chaining, role-playing, and dynamic dialogue management.
- Database: Firestore for structured data like tasks, roles, and API tokens.
- Agent Architecture: Each agent is a modular unit with goals, memory, and behavior trees, capable of task decomposition and inter-agent collaboration.
- Integrations: OAuth & API clients to bridge external platforms so AI agents can “do the work” — not just talk about it.
Challenges we ran into
- Autonomous Coordination: Getting AI agents to work together without redundancy or conflict is harder than expected. We experimented with message routing, task queues, and delegation protocols.
- Long-term memory: Maintaining coherent memory across tasks and sessions was a challenge. We had to build a RAGed playbook and BPMN V2 diagrams beyond vanilla context windows.
- Tool Use: Getting agents to successfully call APIs and use tools like Kanban boards without hallucinating required prompt engineering and error-handling strategies.
- Balance between control and autonomy: Giving users enough manual control without defeating the purpose of having autonomous agents took some design iteration.
Accomplishments that we're proud of
- We created a fully working MVP where users can spin up a virtual company with functioning departments in under 5 minutes.
- We built an agent collaboration model that mimics real team behavior: planning together, dividing tasks, and asking for help when stuck.
What we learned
- AI agents are most effective when they have clear structure and well-scoped roles — ambiguity kills productivity.
- Task orchestration and agent messaging protocols are just as important as the language model itself.
- Users don’t want magic — they want explainability, observability, and the option to intervene.
What's next for Write The Future
- Agent Marketplace: Let users create, sell, and share custom agents with unique skills and personalities.
- More Integrations: We’re adding Google Workspace, Trello, and Shopify next.
- Mobile Companion App: So you can run your startup from your phone — with your AI co-founder updating you in real-time.
- Fine-tuned models for agent personas and better memory retention.
We're just getting started — our dream is to empower millions of creators to launch and run businesses without needing a team of 10. Just an idea, a goal, and a few great agents.
Built With
- angular.js
- cloudrun
- firebase
- firestore
- gcp
- gemini
- genkit
- material
- typescript
- vertexai
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