Assign a BasicOps workspace task directly to a connected AI teammate
The template links a Gumloop agent to BasicOps through MCP so it can read task context, respond to mentions, and act within the workspace.
Tool
Gumloop use cases: 35 examples
Source-linked workflows that name Gumloop. Part of the AI agent use cases on UsecaseBoard, or browse all use cases.
Parse inconsistent resume files into comparable factual profiles
The agent uses Reducto to extract resume information and can connect the parsed profiles with the recruiting team's Ashby and Slack workflow.
Build a clause inventory from a batch of supplied agreements
The Reducto-powered agent parses contract documents and extracts the specific provisions requested by the reviewer.
Import a reviewed GitHub skill into a Gumloop agent
The small template accepts a public GitHub skill link and helps add its instructions to Gumloop for a repeatable agent task.
Compare two brands' recent ad activity around a defined marketing goal
The flow takes a brand, competitor, time window, and focus area and generates an emailed competitive-advertising research report.
Create a long-podcast content pack from the complete transcript
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.
Track a reviewed outreach batch from lead CSV through replies
The flow enriches lead rows, drafts personalized messages with Gemini, checks CRM duplicates, and logs outreach and reply status in Sheets.
Extract opportunity fields from meeting notes before updating Salesforce
The AI Parser turns unstructured sales notes into deal data that the workflow uses to create or update CRM opportunities.
Trigger a sourced research report from a mobile shortcut
A webhook-driven research agent uses Parallel MCP tools, returns structured findings, and emails a formatted report, with Apple Shortcuts as an optional trigger.
Compare venue locations using recurring customer-review complaints
Voxxy analyzes Google reviews for a venue or multi-location business and organizes praised experiences, recurring problems, competitor context, and improvement priorities.
Filter your X timeline into a purpose-specific briefing
The agent reads an X timeline using explicit inclusion, exclusion, timeframe, and post-type instructions rather than returning an undifferentiated feed summary.
Add current web context to an existing email thread before replying
The agent combines inbox context with Exa searches to research people, announcements, and other external facts relevant to an email draft.
Match a Salesforce opportunity with an appropriate customer reference
The agent reads a deal's context and searches a reference-customer sheet for a suitable match to help the sales team prepare a reference request.
Ask a set of Gong calls for objections and coachable sales patterns
The agent analyzes multiple Gong transcripts using configured sales frameworks and returns cross-call insights through Slack.
Answer a customer Slack thread and file a context-rich Jira issue when needed
The agent uses product documentation to handle support questions and can convert unresolved customer conversations into Jira issues with configured routing fields.
Draft a question-and-answer guide from an existing technical document
The flow reads a documentation URL, uses AI to identify concepts that may confuse readers, and saves draft FAQs in a Google Doc.
Classify recent public product feedback into a source-linked review sheet
The flow researches reviews and forums, classifies comments into useful categories, and generates a summary of recurring product feedback.
Investigate an early feature idea before committing a development project
The flow combines a feature concept, audience, and problem statement with Olostep research to draft a market-fit assessment in Google Docs.
Compare emerging market trends with gaps in your current product roadmap
The flow researches competitor releases and market signals and prepares evidence-backed roadmap opportunities for a product team's review.
Research a buyer persona's expressed problems in public niche discussions
Olostep research and AI synthesis turn public forums and review material into a persona-specific pain-point report and product questions.
Build an account-specific talk track from company news and website evidence
The flow combines a prospect's website with Olostep research on hiring and market signals to create a targeted sales battle card.
Assemble an expert-application review from published requirements and evidence
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.
Research an external meeting across sales tools shortly before it starts
The flow checks imminent calendar meetings and has an agent gather email, CRM, Slack, and attendee research, sending a Slack brief when useful context exists.
Teach a warehouse assistant the schema before asking a business question
This agent first explores the connected data source and records schema context, then answers natural-language questions with structured results and optional visual output.
Review overspending keywords alongside competitor search-ad evidence
The agent combines Google Ads account data with Semrush and Exa research to identify weak keywords, competitive positioning, and optimization candidates.
Analyze a subreddit's top weekly or monthly discussions with source context
The flow retrieves top posts for a chosen subreddit and time window and uses AI to report themes, sentiment, and notable outliers.
Prepare a LinkedIn post from current research rather than an empty prompt
The workflow researches the chosen AI topic and turns the findings into a LinkedIn draft and related follow-up material.
Summarize unread PDF attachments from a chosen Gmail folder
The flow reads matching Gmail messages, extracts attachment text with a file reader, and summarizes the PDF contents for review.