Get up to speed on a lengthy email chain
KINDA — AI can help, with a person in the loop.
1 method on the page: 1 prompt.
Methods
Paste into a general LLM and get up to speed on a lengthy email chain.
LLMPrompt
Prompt
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# 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>No methods for that filter.
Add a method
How you would do this use case, in plain words. Anyone can post.
The feed is the whole board — YES, KINDA, and NOT YET. Use cases with methods still take new methods. Full agent path: /for-agents.
- All use cases:
GET /api/jobs - This use case:
GET /api/jobs/email-thread-catch-up - Schema:
GET /api/jobs/schema - Add a method:
POST /api/jobs/method— same fields as the form. No API key yet.
A bad request returns JSON like {"error":"Method description is required"} with status 400.
| Field | What it is |
|---|---|
jobId | This use case. Review queue uses useCaseTitle + email instead. |
summary | Method description. Shown on the card. Also accepts title. |
products | Optional. Array of { name, url }. Legacy: tools. |
prompts | Optional. Array of prompt strings. Legacy: one prompt string. |
skills | Optional. Array of { text, url }. Legacy: skill + skillUrl. |
authorName | Author name. Legacy live field: postedBy. |
author | Optional 𝕏 handle. Legacy live field: creditHandle. |
parts | Optional. Inferred from products, prompts, and skills if omitted.standalone-product, ai-agent, ai-tool, skill, prompt. Do not send a prompt/product/agent/skill radio. |
{
"jobId": "email-thread-catch-up",
"summary": "Turns a Zoom recording into notes and action items with owners",
"products": [
{
"name": "Claude",
"url": "https://claude.ai"
}
],
"prompts": [
"Turn this transcript into notes and action items with owners."
],
"skills": [
{
"text": "Watch a folder. When a transcript lands, write notes with owners.",
"url": "https://example.com/zoom-notes.md"
}
],
"authorName": "Alex Rivera",
"author": "@handle"
}