

State-Of-The-Art Prompting For AI Agents
516 snips May 30, 2025
Discover the evolution of prompting in AI and its critical role in enhancing interactions with large language models. The hosts share firsthand experiences on mastering prompt engineering, including techniques to design effective prompts. Uncover the importance of evaluations and user engagement for AI startups. Explore innovative strategies from successful founders and the unique personalities of AI models that shape outcomes. Real-life examples highlight both the successes and failures in creating reliable AI outputs.
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Parahelp's Public Customer Support Prompt
- Parahelp powers AI customer support for top AI companies like Perplexity and Replit.
- They shared their detailed six-page prompt publicly, a rare glimpse into proprietary AI prompt engineering.
Structuring Effective AI Prompts
- Start prompts by defining the LLM's role and the task clearly.
- Use structured bullet points and formatted output instructions for better integration with other agents.
Customizing Prompts for Customers
- Different customers require unique prompt tweaks, challenging scalability.
- Companies explore merging prompts by splitting customer-specific and company-wide logic.