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.
Labels
the same recurring office tasks—email follow-ups, inbox triage, scheduling, calendar work, notes, summaries, and CRM updates
the same recurring office tasks—email follow-ups, inbox triage, scheduling, calendar work, notes, summaries, and CRM updates
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
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
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Details
- Agents
- Lindy
- Source
- Source date
- Feb 1, 2025
- Accounts
- 1
- In registry since
- Oct 12, 2026