August, 10, 2023 Kyiv, IEC, 15 Brovarskyi Avenue Entrance 1-A
Call-center: +38 044 201 01 03
Mon - Fri: 10:00 – 19:00

Bohdan Ponomar


Board Member (ex-CEO) of AI HOUSE, Co-Founder & CEO at Gathers. He brings over a decade of experience in software development, business strategy, and community building. His passion for building communities and developing AI/ML talent led me to co-found Gathers. This groundbreaking upskilling startup unites top AI/ML minds and makes their expertise accessible to professionals across the AI industry.

He has the privilege of serving as a Board Member (ex-CEO) of AI HOUSE, where he played a part in creating Ukraine’s largest AI/ML community. Through a series of events and initiatives, the team brought together talented individuals to learn and collaborate.

During his six years at Ciklum, he had the opportunity to contribute to the company’s growth and success. His role as a negotiator, strategist, and partnership manager allowed him to forge new relationships with international clients and deliver on their needs.



The AI Gameplan: Why Tailored Instructions Are Key

1. Prompting in AI: English as a new automation language.
Prompting in AI has turned English into the universal language of automation, allowing you to intuitively give instructions and interact with AI systems as if you were talking to another human.

2. From AI Prompts to ready solutions.
With tools like Langchain, AI Prompts not only bypass the problem of working with large volumes of documents (using Vector Databases Search & Retrieval), but also allow you to link prompts and tools into one interconnected process – moving away from a single atomic task to an AI-optimized process.

3. AI Agents: Autonomy and flexibility with pitfalls.
While AI Agents bring unprecedented autonomy and flexibility to systems, it is crucial to be aware of hidden pitfalls, such as unpredictability and potential decision bias due to the limitations of their training data.

4. AI Agents for production: requirements and steps for adoption now.
Effective implementation of AI Agents for production requires setting up prompts and process descriptions tailored to your organization. So investing time and resources in creating these custom instructions is essential to integrate AI into your workflows successfully.

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