What is the deal with OpenAI’s prompt pack for teams?
200 prompts that are supposed to be grab-n-go for teams. The reality is a lot more complicated, and it has real implications for teams and how organizations adopt AI in 2025 (and 2026).
In this video, I share the inside scoop on why prompt education must match the pace of LLMs and real work:
• Why one-line prompts trap teams in AI’s messy middle
• How to ground prompt engineering in real workflow pain
• What hands-on work showed about GPT-5 vs Claude
• Where managers should start: use cases, tool use, upskilling
Teams that treat LLMs as workflow engines—not search—will move faster, but shallow training will leave them behind.
Subscribe for daily AI strategy and news.
For deeper playbooks and analysis: https://natesnewsletter.substack.com/
200 prompts that are supposed to be grab-n-go for teams. The reality is a lot more complicated, and it has real implications for teams and how organizations adopt AI in 2025 (and 2026).
In this video, I share the inside scoop on why prompt education must match the pace of LLMs and real work:
• Why one-line prompts trap teams in AI’s messy middle
• How to ground prompt engineering in real workflow pain
• What hands-on work showed about GPT-5 vs Claude
• Where managers should start: use cases, tool use, upskilling
Teams that treat LLMs as workflow engines—not search—will move faster, but shallow training will leave them behind.
Subscribe for daily AI strategy and news.
For deeper playbooks and analysis: https://natesnewsletter.substack.com/
- Catégories
- prompts ia
- Mots-clés
- AI strategy, LLMs, prompt engineering
Commentaires