Build anything with Haiku 4.5, here’s how

Key Concepts

• Claude Haiku 4.5: A new, highly efficient, and cost-effective AI model from Anthropic, positioned as superior to GPT-5 and significantly cheaper.
• Software Startup Development: The video demonstrates how to build a software startup with minimal cost and technical expertise, leveraging AI.
• Workflow Builder: The specific application built in the video, allowing users to create and manage automated workflows.
• React Flow: A JavaScript library used for building interactive node-based UIs, specifically for the drag-and-drop canvas of the workflow builder.
• Cursor IDE: An AI-first code editor that integrates AI assistance for coding tasks, including planning and code generation.
• Kilo Code: An open-source extension for tracking API costs and token usage.
• OpenRouter: A platform that allows users to access and switch between various AI models easily.
• Graphite Agent: An AI assistant for code review, designed to identify errors, suggest fixes, and improve collaboration.
• Tool Calling: The ability of AI models to interact with external tools or APIs.
• Agentic Coding: The process of using AI agents to assist in software development tasks.
• MVP (Minimum Viable Product): The initial version of a product with just enough features to satisfy early customers and provide feedback for future development.
• Tokenization: The process of breaking down text into smaller units (tokens) for AI processing.
• API Key: A unique identifier used to authenticate requests to an API.
• JSON Files: A lightweight data-interchange format used for storing data, in this case, workflow data.
• Hot Reloading: A feature that automatically reloads the application when code changes are detected.
• Seed Round: The initial stage of funding for a startup.

Building a Software Startup for Under $5 with Claude Haiku 4.5

This video details a revolutionary approach to building software startups, demonstrating how to create a functional MVP workflow builder for less than $5, leveraging the advanced capabilities of Anthropic's Claude Haiku 4.5 AI model. The presenter, David, argues that this new AI technology democratizes software development, making it accessible to individuals with limited budgets and no prior programming experience.

1. The Power of Claude Haiku 4.5

Key Points:

• Cost-Effectiveness: Claude Haiku 4.5 is presented as significantly cheaper than existing models like GPT-5. Pricing is $1 per million input tokens and $5 per million output tokens.
• Speed: The model boasts impressive speed, processing around 120 tokens per second, making it highly responsive for real-time applications.
• Performance: It is claimed to be better than GPT-5 and multiple times cheaper. Benchmarks suggest it's two times faster than "set" (likely referring to a competitor like GPT-4) and three times cheaper, while maintaining comparable performance to GPT-4.
• Agentic Capabilities: Haiku 4.5 excels in agentic coding and terminal actions, outperforming GPT-4 in these areas.

Technical Terms:

• Tokens: Units of text processed by AI models.
• API Costs: The expense associated with using AI model services.
• Input/Output Tokens: Tokens processed as input to the model and tokens generated as output.

2. Setting Up the Development Environment

Step-by-Step Process:

1. Install Claude Code:
   • Search "Claude code" on Google.
   • Navigate to the Anthropic page.
   • Copy and paste the provided command into the global terminal to install the cloud CLI.
2. Launch Claude Code:
   • Type cloud in the terminal.
3. Model Selection:
   • Type /model to change the model.
   • Options include Sonnet 4.5, Opus 4.1, and Haiku. Haiku 4.5 is selected for its speed and cost-effectiveness.
4. Cost Tracking:
   • Type /usage to view usage limits within Claude Code.
   • For more economical tracking, the presenter recommends using open-source extensions like Kilo Code.
   • Kilo Code provides a detailed overview of API request costs, showing an example of a 1-cent request.

Tools Mentioned:

• Claude Code: A command-line interface for interacting with Anthropic models.
• Kilo Code: An extension for monitoring API costs.
• OpenRouter: A platform to easily switch between different AI models.

3. Building a Workflow Builder MVP

Main Topic: Creating a drag-and-drop workflow builder, a popular application type in the current tech landscape.

Key Points:

• Simplicity: The presenter emphasizes that building a workflow builder is simpler than commonly perceived, dispelling the notion that it requires extensive development time.
• React Flow Library: This library is chosen for its ability to provide the necessary wiring for a drag-and-drop workflow interface.
• AI Integration: The workflow builder will incorporate an AI agent powered by Anthropic's API.

Methodology:

1. Design Phase (Cursor IDE):
   • Utilize Cursor IDE's "Architect" mode for designing the codebase.
   • Prompt: "Help me design a very simple codebase for an MVP project of an AI powered workflow builder using the React Flow library."
   • The AI generates documentation and integration steps.
2. Codebase Architecture:
   • Create a docs folder and a react_flow_docs.md file to store the AI-generated documentation.
   • Tag the file within Cursor for AI to reference.
   • The presenter stresses the importance of planning before coding, contrasting this with hasty AI coding.
3. Cursor's Plan Mode:
   • Cursor's "Plan Mode" is used to clarify the application's requirements.
   • Workflow Step Nodes: The simplest setup with an AI node using the Anthropic API.
   • AI Integration Level: AI will process data from preceding nodes.
   • Backend Requirements: A simple NodeJS backend.
   • Persistence: Workflows will be saved using SQLite initially, then refactored to JSON files.
4. Code Generation:
   • After planning, Cursor generates the codebase based on the defined requirements.
   • The process involves creating multiple files and lines of code rapidly.

Tools and Libraries:

• React Flow: For the UI canvas.
• Cursor IDE: For AI-assisted coding and planning.
• NodeJS: For the backend.
• SQLite: Initial database choice.
• JSON Files: Refactored data storage.

4. Cost Management and Monitoring

Key Points:

• Budget Adherence: The primary goal is to stay under the $5 budget for building the entire startup.
• Real-time Tracking: Kilo Code and Cursor's dashboard are used to monitor API costs.
• Haiku's Low Cost: Individual API requests using Haiku 4.5 cost less than 1 cent, with some even costing zero.
• CSV Export for Analysis: The presenter plans to export cost data to a CSV file for detailed analysis.

Data/Statistics:

• Initial cost for architecture: 1-2 cents.
• Cost for 70,000 tokens: 9 cents.
• Cost for 90,000 tokens: 12 cents.
• Total spent on Haiku for the day (at the end of the video): $1.19.

5. Iterative Development and Debugging

Methodology:

1. Error Identification: The generated code may contain errors, requiring debugging.
2. AI-Assisted Debugging: Cursor's AI is used to fix identified errors, such as TypeScript type errors.
3. Git Initialization: The project is initialized with Git for version control.
4. Dependency Installation: npm install is used to install project dependencies.
5. Environment Configuration: An .env file is created in the backend directory to store the Anthropic API key and port number.
6. API Key Retrieval: Instructions are provided on how to obtain an Anthropic API key from the Anthropic console.
7. Refactoring Database: Due to initial issues with SQLite, the database is refactored to use JSON files for simplicity in the MVP.
8. Makefile Creation: A Makefile is created to simplify the process of starting frontend and backend servers using make front-end and make back-end commands.
9. Debugging Connection Issues: When the frontend fails to connect to the backend, the presenter uses AI to add more debug logs and investigate the connection.
10. UI Improvements: Claude Code is used to improve the frontend design, making it dark mode and more polished, while keeping the core logic intact.
11. Misleading Documentation Strategy: A claude.md file is created to intentionally mislead potential investors about the underlying technology, framing it as proprietary and advanced.
12. Error Message Styling: AI is used to change error message colors from green to red for better visibility.
13. Backend Process Management: Issues with lingering backend processes are addressed by killing old processes and restarting the server.
14. Final Workflow Execution: The workflow builder is tested, and while initial errors occur, they are eventually resolved, demonstrating a working application.

Key Arguments/Perspectives:

• Embrace AI Agents: The presenter strongly advocates for embracing AI agents, stating that those who do will significantly outperform others.
• Iterative Improvement: The process involves continuous refinement, debugging, and leveraging AI for both code generation and problem-solving.
• Strategic Deception: The creation of misleading documentation highlights a pragmatic, albeit ethically questionable, approach to startup fundraising.

6. Real-World Applications and Future Implications

Examples:

• Graphite Agent: Mentioned as a sponsor, this AI assistant helps review pull requests, saving time and catching bugs.
• Vecta.ai: The presenter's productivity app, which uses Haiku 4.5 for task management and analysis, demonstrating its speed and efficiency in handling large datasets.
• Chatbots, Real-time Translation, Caption Generation: These are cited as use cases where fast, smaller AI models like Haiku 4.5 are preferable to larger, slower models.

Key Arguments:

• Democratization of Development: AI models like Haiku 4.5 lower the barrier to entry for software development, enabling solo founders and small teams to build complex applications.
• The Future of Software Development: The presenter predicts a massive gap between those who adopt AI agents and those who don't, emphasizing the importance of staying ahead.
• Cost Savings: The ability to build and run applications at a fraction of the previous cost opens up new business models and opportunities.

7. Conclusion and Takeaways

The video successfully demonstrates that building a functional software startup, specifically a workflow builder, is now achievable for under $5 using advanced AI models like Claude Haiku 4.5. The process involves strategic planning, leveraging AI for code generation and debugging, meticulous cost tracking, and an iterative approach to development. The presenter emphasizes that the key to success in the evolving tech landscape lies in embracing AI agents and possessing a strong idea coupled with work ethic. The accessibility and affordability of these AI tools empower individuals to bring their software ideas to life, potentially disrupting traditional development paradigms.