Hera Motion AI разговор с фаундером: code-based animation engine

разговор с фаундером for a motion-design AI startup: product pitch, core animation-engine problem, candidate RAG/LLM production background and transition from consulting to startup product ownership.

Аудио и материалы

Аудио скрининга

0:00 / 11:35

Выводы и как готовиться

The useful signal is the product problem: code generation is easy, but studio-quality motion design requires judgment, evaluation and iteration.
The candidate background should be packaged as production LLM systems, RAG/document intelligence, inference infrastructure and quality/reliability work.
The startup-fit question is about moving from consulting/client delivery to direct product ownership and fast feedback loops.

Hera Motion AI разговор с фаундером: code-based animation engine

Аудио и материалы

Аудио скрининга

Company and product intro: code-based motion design

Core animation engine and quality problem

Candidate LLM/RAG, inference and LoRA experience

EPAM and enterprise AI consulting context

Startup product ownership fit

Next steps with cofounder debrief

Выводы и как готовиться