Work & OperationsDone with Lindy Feb 1, 2025
Automate email replies, form data extraction, and lead notes
A poster tried Lindy and Gumloop for drafting email replies, pulling data from forms, and wiring small AI workflows around lead handling and notes.
- What They Did
- The poster tested Gumloop first for drafting email replies, pulling data from forms, and wiring small lead-handling and note workflows through its no-code drag-and-drop builder with built-in GPT actions. They later tried Lindy on the same recurring office tasks—email follow-ups, inbox triage, scheduling, calendar work, notes, summaries, and CRM updates—using its more delegated agent style, with a person stepping in through human-in-the-loop checks when needed.
- How It Went
- Their takeaway was that Gumloop worked well for getting simple workflows running quickly, while Lindy felt better for recurring office work that should run with less ongoing maintenance. The main shortfalls they named were Gumloop getting harder to manage as logic grew and Lindy being Google-centric, permission-heavy, and credit-based.
- Worth Knowing
- The biggest catch they mention is maintenance: as workflows get more complex, Gumloop’s logic becomes harder to express and manage over time.
Try it yourself with Lindy
Build an assistant that handles incoming [leads or inquiries] by drafting a reply to each email in my tone, extracting the key fields from submitted forms ([fields, e.g. name, company, budget]) into [spreadsheet or CRM], and adding a short note summarizing each lead. Save replies as drafts only and don't send anything. Test it on three sample items and show me the results before enabling it.
Do this with a skill.
These SkillShop playbooks do this exact job.