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Give AI Context Before Asking for a Summary
If your AI keeps returning vague summaries, the problem isn't the tool — it's the handoff. In this video, we walk through one case study: a fictional project coordinator named Maya who builds a prompt context ladder to transform her messy meeting notes into a structured, director-ready summary output.
The prompt context ladder is a reusable workflow artifact built on four rungs: goal, audience, source material, and desired structure. Once you build it for one recurring task, you can recreate it for any workflow where vague AI output is costing you time.
Microsoft's own Copilot prompt guidance reinforces this approach — structuring prompts with goals, context, expectations, and source material leads to significantly more usable outputs.
📎 Microsoft Copilot prompt guidance: https://support.microsoft.com/en-us/topic/learn-about-copilot-prompts-f6c3b467-f07c-4db1-ae54-ffac96184dd5
────────────────────────────
⏱ CHAPTERS
────────────────────────────
00:00 – The vague summary problem
01:15 – Why the handoff is the real issue
02:30 – Introducing the case: Maya's Monday standup
04:00 – What a prompt context ladder is
05:30 – Building the four rungs: goal, audience, source, structure
08:45 – Before and after output comparison
10:30 – How to recreate this for your own recurring tasks
12:00 – Saving the artifact to your prompt library
────────────────────────────
Use this workflow for any recurring AI task where the output isn't usable on the first try. Save the prompt context ladder as a reusable template and recreate it across your team's workflows.
────────────────────────────
#AITools #PromptEngineering #AIWorkflow #Productivity #ChatGPT
Видео Give AI Context Before Asking for a Summary канала Hoffboy
The prompt context ladder is a reusable workflow artifact built on four rungs: goal, audience, source material, and desired structure. Once you build it for one recurring task, you can recreate it for any workflow where vague AI output is costing you time.
Microsoft's own Copilot prompt guidance reinforces this approach — structuring prompts with goals, context, expectations, and source material leads to significantly more usable outputs.
📎 Microsoft Copilot prompt guidance: https://support.microsoft.com/en-us/topic/learn-about-copilot-prompts-f6c3b467-f07c-4db1-ae54-ffac96184dd5
────────────────────────────
⏱ CHAPTERS
────────────────────────────
00:00 – The vague summary problem
01:15 – Why the handoff is the real issue
02:30 – Introducing the case: Maya's Monday standup
04:00 – What a prompt context ladder is
05:30 – Building the four rungs: goal, audience, source, structure
08:45 – Before and after output comparison
10:30 – How to recreate this for your own recurring tasks
12:00 – Saving the artifact to your prompt library
────────────────────────────
Use this workflow for any recurring AI task where the output isn't usable on the first try. Save the prompt context ladder as a reusable template and recreate it across your team's workflows.
────────────────────────────
#AITools #PromptEngineering #AIWorkflow #Productivity #ChatGPT
Видео Give AI Context Before Asking for a Summary канала Hoffboy
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