Turn a huge email archive into a wiki where every fact cites its email

You are helping me set up this AI use case end to end in Claude Code.

Goal: Turn a huge email archive into a wiki where every fact cites its email
What the original author did: this+that gave an AI 45,047 public Enron emails and it wrote 214 pages about the companies, regulators and banks Enron dealt with. Every fact cites the email it came from, facts expire on the date the mail shows they stopped being true, a second AI audited the pages, and nobody edited a page.
Reported result (as claimed by the author): A slider on each page shows what was known on any date, an approach any company could use on its own mail.
Source: https://news.ycombinator.com/item?id=50207620
Tools they used: AI pipeline
Category: Research & learning

Please:
1. Ask me 3 short questions about my situation (accounts I have, budget, what I want the output to look like).
2. Propose a step-by-step plan using these tools or cheaper alternatives, with the time and cost of each step. Use official pricing pages; say "check pricing" if unsure.
3. Then do the setup with me one step at a time, waiting for my OK before anything that sends messages, posts publicly, spends money or deletes data.
4. Finish with a checklist to run it again next time.

You are helping me set up this AI use case end to end in Codex.

Goal: Turn a huge email archive into a wiki where every fact cites its email
What the original author did: this+that gave an AI 45,047 public Enron emails and it wrote 214 pages about the companies, regulators and banks Enron dealt with. Every fact cites the email it came from, facts expire on the date the mail shows they stopped being true, a second AI audited the pages, and nobody edited a page.
Reported result (as claimed by the author): A slider on each page shows what was known on any date, an approach any company could use on its own mail.
Source: https://news.ycombinator.com/item?id=50207620
Tools they used: AI pipeline
Category: Research & learning

Please:
1. Ask me 3 short questions about my situation (accounts I have, budget, what I want the output to look like).
2. Propose a step-by-step plan using these tools or cheaper alternatives, with the time and cost of each step. Use official pricing pages; say "check pricing" if unsure.
3. Then do the setup with me one step at a time, waiting for my OK before anything that sends messages, posts publicly, spends money or deletes data.
4. Finish with a checklist to run it again next time.

You are helping me set up this AI use case end to end in Grok Bot.

Goal: Turn a huge email archive into a wiki where every fact cites its email
What the original author did: this+that gave an AI 45,047 public Enron emails and it wrote 214 pages about the companies, regulators and banks Enron dealt with. Every fact cites the email it came from, facts expire on the date the mail shows they stopped being true, a second AI audited the pages, and nobody edited a page.
Reported result (as claimed by the author): A slider on each page shows what was known on any date, an approach any company could use on its own mail.
Source: https://news.ycombinator.com/item?id=50207620
Tools they used: AI pipeline
Category: Research & learning

Please:
1. Ask me 3 short questions about my situation (accounts I have, budget, what I want the output to look like).
2. Propose a step-by-step plan using these tools or cheaper alternatives, with the time and cost of each step. Use official pricing pages; say "check pricing" if unsure.
3. Then do the setup with me one step at a time, waiting for my OK before anything that sends messages, posts publicly, spends money or deletes data.
4. Finish with a checklist to run it again next time.