Automated Prompts: How AI Will Write Its Own Instructions

Automated Prompts: How AI Will Write Its Own Instructions

That magical feeling when you craft the perfect AI prompt? Yeah, it doesn’t last long. The real challenge begins when prompts need to scale, stay reliable, and actually run businesses. That’s where **prompt management** comes in — and it’s the future of building with LLMs.

In this video, we’ll explore:
• Why prompt engineering doesn’t scale past day one
• The hidden costs of unmanaged prompts
• The 4 pillars of prompt management (version control, evaluation, observability, collaboration)
• The leading tools (MoroScope, PromptLayer, LangSmith) — and which one fits your team
• The future of automated prompts (yes, AI writing better prompts than you)

📌 Big Idea: Prompts aren’t disposable text strings. They’re durable assets — and the teams that treat them like code will win.

Timestamps:
0:00 — The magic (and mess) of prompts
1:12 — From engineering to management
2:05 — The hidden costs of prompts
3:20 — The 4 pillars of prompt management
5:10 — Tools: code-native vs. collaboration-first vs. integrated
6:40 — Automated prompts & the future

🔔 Subscribe to **@agenticwave** for weekly deep-dives into AI tools, LLMs, and the agentic future.
👉 Like this video if you’ve ever struggled with prompts — and drop “SYSTEM” in the comments if you want a FREE prompt management checklist.

Music by Suno.ai (futuristic electronic).
Thumbnail by Meta.ai + Canva.
Script powered by NotebookLM.

#PromptEngineering #PromptManagement #AIapps #LLM #agenticai
#AItools2025

Видео Automated Prompts: How AI Will Write Its Own Instructions канала Agentic Wave