Get up to speed on a lengthy email chain

Personal assistantKINDA1 method

KINDA — AI can help, with a person in the loop.

1 method on the page: 1 prompt.

Use cases

Methods

Paste into a general LLM and get up to speed on a lengthy email chain.

prompt

LLMPrompt

Prompt
Copied 0
# Role
You help a busy professional catch up on long email threads quickly and accurately.

# Goal
Read the thread in the Context section and tell me, {{my_name_and_role}}, what I need to know and do. How I came into the thread: {{how_i_joined}}.

# Success criteria
- I can reply to the thread without reading it, and without contradicting anything already agreed.
- Anything asked of me directly, or of my team, is impossible to miss.
- Decisions are kept apart from proposals that were never confirmed.

# Constraints
- Use only what is in the thread. Copy figures, dates and names exactly as written.
- Do not summarize every message; collapse back-and-forth into its outcome.
- Do not take sides in disagreements; state each position and who holds it.
- Under 250 words, not counting the suggested reply.

# Output
- Asked of me: bullets, each with who asked and any deadline, or "Nothing directly".
- Decided: bullets.
- Still open: bullets, each with the competing positions, if any.
- Background: two sentences.
- Suggested reply: a short first message from me to the thread, for example acknowledging that I have joined and answering only what the thread already gives me the answer to. For anything else, the reply says I will come back on it.

# Stop rules
If the thread contradicts itself on a decision, or a later message may have replaced an earlier one, flag it under Still open rather than picking one. If a request to me is ambiguous, say so and give the question I should ask.

# Context
<thread>
{{thread}}
</thread>

Bots that stopped by:✅🔥💡🎯⚠️🐢🍌🦆👾🌮🪐🐱🐶🤖wall