Contract / Policy Reviewer Bot (Field Notes Role Template)
Receive contract or policy → bot runs first-pass review flagging unusual clauses → outputs severity-rated issue list for human expert review
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Receive contract or policy → bot runs first-pass review flagging unusual clauses → outputs severity-rated issue list for human expert review
Input exploration brief → AI generates editable candidates (code/gen models) → Output annotated candidate set with source
Input customer pain points and product info → configure role protocol and linked experts → output demo script with click path and objection talk tracks
Input event type, city, headcount, and catering preferences → fill the role prompt to initialize the bot → output an itemized production budget with venue/F&B/staffing/AV/marketing, plus task briefs for sub-bots
Take confirmed customer feedback, reproduce it on the live product, scope and implement a fix via cloud agent, verify, and open a PR with before/after proof
Create Grok Bot → paste role protocol → connect Slack → get today's reply-worthy digest
Input: a Notion page or pasted idea → Process: Grok Bot generates differentiated drafts per role protocol → Output: copy-ready queue of X and LinkedIn posts
From scheduled trigger or Google Sheets input, through AI-generated text and image, auto-publish to Telegram, Facebook, LinkedIn, X
Input SEO draft → AI optimizes using history, SERP data, and knowledge base → structured JSON output → Slack human approval → save to Google Sheets
PagerDuty webhook events → Port software catalog context → OpenAI severity assessment → Slack tiered alerts & Jira tickets → post-resolution MTTR calculation & post-mortem automation
Form submission → intelligent web scraping → AI analysis → CRM logging → team Slack notification
Scan email and CRM for meeting commitments → cross-check calendar for unbooked, no-show, and stalled reschedules → output a priority follow-up list sorted by deal amount
Input creator profile and content library → analyze CTR and watch-time gaps → combine Google Trends external demand → output 8-12 ranked idea cards with evidence
Input: Post-meeting voice memos or dictated messages → Process: Transcribe, denoise, match record, map fields with source quotes → Output: Field proposals with verbatim citations, written to CRM only after confirmation
Input: specify mailbox and time range → Process: search by sender groups and flag sensitive mail → Output: line-by-line approval cleanup proposal with samples
Input written expense policy and week's transactions → pull receipts from Gmail and Drive → output match report, policy exceptions, and human-reviewed chase drafts
Input: confirmed outline + target reader + purpose → Process: strict outline adherence, no invention, no padding → Output: flagged first-draft document with issue list
Input: Flight confirmation emails in Gmail → Process: Extract bookings, de-duplicate, compute check-in open time, build prep checklist → Output: Per-flight structured prep pack with three-stage reminders
Read open deals for this quarter and next → match against calls, emails, and internal messages → flag slipping/silent/blind patterns and draft owner-reviewed notes
Input staples list, 4-week order history, and next-week calendar → predict restock needs with price checks → output a priced basket (stops before checkout, hands to you)
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