Tool
Source-linked workflows that name Google Docs. Part of the AI agent use cases on UsecaseBoard, or browse all use cases.
Google's India Spark launch notes and How-To Geek prompts show Spark pulling flight/hotel confirmations from Gmail into a chronological Trip Master Itinerary Doc with codes and check-in links.
The startup guide transcribes a brainstorming whiteboard, explores gaps, exports notes to Docs, and drafts a source-grounded recap email.
The small-business guide compares two supplied cleaning proposals, including required tasks, visit frequency, and booking or cancellation terms, before preparing a vendor email.
The HR guide grounds an onboarding script in the mission statement and learning-and-development documents, then iterates on concrete training and mentorship points.
The guide uses Gemini in Drive to locate the applicable sale file and Gemini in Docs to extract the product-specific savings information.
Google's support example drafts an empathetic customer response and iterates on alternative resolutions when the requested shipping option is outside policy.
Gemini in Docs combines a quote file and a separate biography-and-mission document to develop a reviewable press-release draft.
The guide iterates from a team-offsite brief to suitable bonding activities and a structured agenda table.
The assistant asks focused questions about a work issue, explores actions within the user's control, and drafts an escalation summary when the user chooses that path.
The assistant creates several domain-relevant viewpoints, compares their critiques and alternatives, and records a synthesized decision brief for later review.
The agent uses a defined audience and positioning to analyze recent subreddit material and produce five differentiated concepts with source links and suggested formats.
The skill extracts facts from hiring data, meeting notes, and Slack, drafts the monthly talent narrative, and coordinates reviewer tasks before leadership publication.
The agent extracts links from a supplied document, reads the linked articles, and creates a consolidated Google Docs summary.
The assistant guides a structured career reflection, saves the resulting notes and commitment to Google Docs, and can schedule a follow-up reminder.
The assistant combines an Ashby scorecard, hiring rubric, and Slack context to examine a stated concern and prepare a reasoned recruiter response.
The agent analyzes submitted survey answers and writes a Google Docs report of expressed feedback, recurring themes, and areas to investigate.
A Zapier agent retrieves recent Zendesk tickets, groups feedback by sentiment, and compiles a structured Google Doc for support and product review.
The assistant retrieves an identified brief, reads its audience and key points, and saves a first article draft in the chosen Drive folder.
The assistant combines Asana status with launch documents to prepare a readiness assessment showing completed work, open items, and blockers.
This workflow reads product and positioning sources in Notion, then drafts a sales one-pager with benefits, objections, and evidence before sharing it.
The template turns a job description and hiring criteria into stage-specific competencies, questions, strong-answer indicators, and warning signs in a shared Google Doc.
An AI assistant uses the Five Behaviors framework to recommend a team exercise, write facilitation instructions, and save or schedule the plan.
The template retrieves selected Slack threads and documents through MCP and saves a searchable, organized knowledge base that an AI assistant can use later.
This MCP workflow retrieves deals closing in a chosen window and produces a Google Doc with grouped values and a written overview.
The template combines Ashby feedback and BrightHire transcripts to identify already-covered topics, unresolved risks, and useful final-round questions in a Google Doc.
The template gathers role objectives through a chatbot and combines them with company examples to draft a job description, application questions, and interview guide.
Anthropic's Claude-in-Chrome recipe reads several open product pages, normalizes differently named specifications, and assembles a side-by-side document with category comparisons and source context.
Zapier's Career Wins Collector turns an emoji reaction into a contextual summary of a Slack conversation, highlighting the user's contribution and preserving the date and original message link.
Zapier's template reads a week's Google Doc entries, classifies their emotional tone, identifies patterns, proposes a small habit, appends the analysis, and sends a Slack reflection.
The Reducto-powered agent parses contract documents and extracts the specific provisions requested by the reviewer.
The published flow uses Gemini 2.5 Pro to analyze a long YouTube transcript and draft a blog article, X thread, and LinkedIn posts in a Google Doc.
The flow reads a documentation URL, uses AI to identify concepts that may confuse readers, and saves draft FAQs in a Google Doc.
The flow combines a feature concept, audience, and problem statement with Olostep research to draft a market-fit assessment in Google Docs.
The flow combines a prospect's website with Olostep research on hiring and market signals to create a targeted sales battle card.
Gumloop shares a flow based on its expert-vetting process, combining public research, company context, internal usage data, and written requirements before reporting the assessment.
Make's Kevin Cookie Company tutorial builds a fictional support assistant using a Llama model, a Google Docs FAQ tool, a separate email tool, and a Tally trigger, illustrating reusable versus scenario-specific tools.