1. Defining the Development Direction

To provide value and achieve financial benefits, it is essential to focus on real needs.

Potential Directions:

1. Security and Cybersecurity

• Developing AI tools for data protection, threat analysis, and anomaly detection.
• Automating cyberattack analytics using machine learning.
• Enhancing national infrastructure security.

1. Economic and Business Development

• Creating AI solutions to improve business productivity, automate processes, and reduce costs.
• Developing intelligent analytical tools for the financial sector.
• Advancing AI solutions for small and medium-sized businesses.

1. Education and STEM (Science, Technology, Engineering, Mathematics) Development

• Building AI-powered educational tools to enhance learning efficiency.
• Automating knowledge assessment and personalizing education programs.

1. Medicine and Biotechnology

• Developing AI models for disease diagnosis and medical image analysis.
• Creating automated AI assistants for doctors.
• Implementing smart health monitoring systems.

1. Government Process Automation and Bureaucracy Reduction

• Developing AI solutions for analyzing large volumes of data and reports.
• Improving the efficiency of government agencies through AI integration.
• Advancing voice assistants for governmental needs.

2. Short-Term Plan (1 Month)

Goal: Define the direction, conduct initial research, and prepare a working MVP (Minimum Viable Product).

Week 1:

• Conduct market analysis: What AI solutions are in high demand?
• Identify 2-3 potential niches for development.
• Evaluate existing competing products.
• Conduct a brainstorming session with the team.
• Develop a business model (identify customers, their pain points, and potential pricing).

Week 2:

• Choose a specific direction.
• Develop the product concept.
• Identify key technologies (AI models, libraries, infrastructure).
• Assess budget and resources.
• Create a project roadmap.

Weeks 3-4:

• Start MVP development.
• Conduct initial testing.
• Create a landing page or project website.
• Prepare a pitch (short presentation for potential investors or clients).
• Test with a target audience.

3. Mid-Term Plan (3-6 Months)

Goal: Develop a working product, start generating revenue, or attract investments.

1. Improve the MVP into a beta version.
2. Find the first customers or partners.
3. Launch initial pilot projects.
4. Optimize the monetization model.
5. Automate development processes using AI.
6. Secure funding if necessary.

4. Long-Term Plan (1-2 Years)

Goal: Scale the product and enter the market.

1. Fully automate processes using AI.
2. Optimize the business model and reduce costs.
3. Expand the team if needed.
4. Enter the market through partnerships and integrations.
5. Participate in government tenders if the product fits national needs.

5. AI Tools to Utilize

To maximize AI integration in the project, consider using the following solutions:

• Codex/GPT-4 – For automatic code generation.
• Google Vertex AI / OpenAI API– For working with AI models.
• LangChain –For building complex AI applications.
• AutoGPT / BabyAGI– For automating routine processes.
• Hugging Face– Pre-trained AI models for various tasks.
• Midjourney / Stable Diffusion – For generating visual content.

You can choose one of these directions (e.g., AI in security, education, or business), develop an MVP, test it, and then move toward monetization and scaling.

The key is to start quickly and avoid overcomplicating the process.

Dr. Vadym Chernets

AI Expert, New York