Using a combination of AI tools, the author was able to efficiently research, prototype, and pitch a new app idea called "Microtasks" in a matter of days. The key steps in this process were:

1. Research Stage: The author used deep research capabilities of various AI platforms like ChatGPT, Perplexity, Gemini, and Grock to thoroughly investigate the problem of procrastination and how micro-tasks can help people, especially those with ADHD, break down big goals into actionable steps.

2. Prototyping Stage: The author used a platform called Hostinger Horizons to turn the text-based instructions into a working prototype of the Microtasks app, complete with checkboxes and a timer to help users track their progress.

3. Go-to-Market Strategy: To develop a marketing angle for the app, the author used reasoning models like Claude AI's Sonnet to generate ideas targeted at ADHD users, founders, and creators.

4. Presentation Creation: Finally, the author used Gamma AI to create an 8-slide pitch deck to present the Microtasks concept to potential investors, leveraging the research and insights gathered throughout the process.

By combining the power of these AI tools, the author was able to take an idea from conception to a fully-fledged prototype and pitch-ready presentation in a matter of days, demonstrating the efficiency and effectiveness of this AI-driven workflow.

Procrastination is a common challenge when it comes to tackling big goals. The overwhelming nature of large tasks can often lead to inaction. Microtasks, or breaking down goals into small, actionable 5-minute steps, can help bypass this issue.

The Microtasks app aims to solve this problem by providing users with AI-generated, bite-sized tasks to make progress on their goals. This is particularly beneficial for individuals with ADHD, who may struggle with managing time and staying focused on larger objectives.

By dividing projects into manageable micro-steps, users can experience a sense of progress and accomplishment, which can boost motivation and productivity. The app's features include:

• Automatic task generation based on user-inputted goals
• Customizable task timers to encourage focused work sessions
• Checkboxes to track completed micro-tasks
• Seamless integration to help users stay on track

This approach empowers users to tackle even the most daunting tasks by breaking them down into easily digestible actions. The Microtasks app aims to be a "start button for your brain," helping users bypass executive dysfunction and make consistent progress on their goals.

Deep research is a powerful tool that can help you make informed decisions and develop a comprehensive understanding of a topic. By leveraging multiple AI-powered research platforms, you can gather insights from a wide range of sources, enabling you to make more informed choices.

The key steps in this process include:

1. Utilizing Multiple Research Platforms: By using platforms like ChatGPT, Perplexity, Gemini, and Grock, you can access a diverse set of research sources and perspectives, leading to a more well-rounded understanding of the topic.

2. Combining and Synthesizing Insights: Consolidating the research findings from these various platforms allows you to identify common themes, trends, and unique insights that can inform your decision-making process.

3. Leveraging Reasoning Models: Advanced reasoning models, such as Claude AI's Sonnet, can help you further analyze and interpret the research data, providing additional context and strategic guidance.

4. Iterative Refinement: By continuously refining your research prompts and exploring new avenues, you can deepen your understanding and uncover more nuanced insights that can shape your final decisions.

This comprehensive approach to deep research empowers you to make informed decisions, develop robust strategies, and confidently pursue your goals, whether it's launching a new product, optimizing a business process, or exploring a novel idea.

Leveraging the power of AI-driven tools, I've developed a streamlined workflow that allows me to transform ideas into tangible products in a matter of days, sometimes even launching an entire business from scratch in less than 24 hours.

The key to this process lies in the research stage, where I utilize deep research capabilities of various AI platforms to thoroughly understand the problem I'm trying to solve and the needs of my target audience. By combining the insights from multiple sources, I can craft a comprehensive understanding of the market and the potential features to include in my app.

Once the research is complete, I move on to the prototyping stage, where I use no-code platforms like Hostinger Horizons to quickly turn my text-based instructions into a working app. This allows me to validate my concept and gather feedback without the need for any coding knowledge.

Finally, I leverage reasoning models and presentation AI tools to develop a go-to-market strategy and create a professional-looking pitch deck. This enables me to effectively communicate my idea to potential investors and secure the necessary funding to bring my vision to life.

By seamlessly integrating these AI-powered tools into my workflow, I'm able to streamline the entire process of turning an idea into a reality, saving valuable time and resources in the process.

For the third stage of the AI workflow, I will use reasoning models to help craft an effective go-to-market strategy. While the Notebook LM tool can handle this task, I prefer to leverage more advanced reasoning models for this specific use case.

One such model I find particularly effective is the Claude AI's Sonnet 3.7 model, which offers real-time reasoning capabilities. To utilize this, I will upload the briefing document or all the research documents I've gathered so far into the Claude AI platform. This will allow the reasoning model to dive deeper and provide more insightful recommendations for my go-to-market approach.

For example, I might ask the reasoning model to suggest a marketing angle that would resonate with ADHD users, founders, and creators - the target audience for my "Microtasks" app. The model might respond with ideas like "Start button for your brain" or "Creators blockbuster" - framing the app as a tool to bypass executive dysfunction and overcome creative blocks by breaking down tasks into bite-sized actions.

If I'm not satisfied with the output from the Notebook LM tool, I can also explore other reasoning models, such as those offered by Deepseek or Grock, to further refine my go-to-market strategy. These models can help generate content like LinkedIn posts to gauge audience interest and gather feedback.

By leveraging the power of reasoning models, I can take my initial research and prototype to the next level, crafting a comprehensive go-to-market plan that sets the stage for a successful launch and growth of my "Microtasks" app.

Crafting a compelling pitch deck is crucial when seeking investment for your business idea. Fortunately, AI-powered tools can streamline this process and help you create a professional, investor-ready presentation.

Using Gamma AI, you can generate a visually stunning 8-slide pitch deck from a simple text prompt. By leveraging the knowledge gathered in Notebook LM, you can seamlessly transfer your research and insights into a polished presentation.

Gamma AI's advanced image models and layout capabilities ensure your slides are visually appealing and effectively communicate your key points. The platform allows for easy customization, enabling you to refine the presentation to your liking.

With this AI-powered approach, you can quickly and efficiently create a pitch deck that is ready to impress potential investors. The presentation features a benefit-oriented structure, clearly outlining the problem, solution, and unique value proposition of your business concept.

By combining the power of AI research, prototyping, and presentation tools, you can transform your idea into an investment-worthy opportunity, streamlining the process from ideation to pitch.

This AI workflow has allowed me to take an idea from research to a fully functional prototype and pitch-ready presentation in a matter of days. By leveraging a combination of top AI tools, I was able to efficiently conduct in-depth research, create a working app prototype, develop a go-to-market strategy, and craft an investor-ready presentation.

The key steps in this process include:

1. Thorough research using deep search capabilities across multiple AI platforms to uncover insights and validate the problem I'm trying to solve.
2. Prototyping the app idea using a no-code platform that can turn text prompts into a working application.
3. Utilizing reasoning models to refine the go-to-market strategy, including identifying target audiences and crafting compelling messaging.
4. Generating a professional investor pitch deck using a presentation AI tool that seamlessly integrates the research and insights gathered throughout the process.

This AI-powered workflow has enabled me to move from concept to launch in an incredibly efficient manner, saving weeks of manual effort. By combining the strengths of various AI tools, I've been able to rapidly validate ideas, build prototypes, and prepare for pitching - all without the need for extensive technical expertise or development resources.

The ability to leverage AI in this way has been a game-changer, allowing me to explore new business opportunities and bring them to life faster than ever before. I'm excited to continue refining and optimizing this workflow to drive even greater productivity and innovation in the future.