Best Approach to Learning Lindy: Build from Template or Start Scratch?

·Jan 23, 2026 04:52 PM·

Hey everyone — quick question for those with real Lindy experience. For someone just getting started, have you found it more effective to build an agent from a template and then modify it, or to start from scratch and build the agent yourself to really learn how Lindy works? I’m focused on mastering the fundamentals first, not just getting something working. Curious what’s worked best for you.

Thanks

8 comments

· Sorted by Oldest

Kourtney G.
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I love a good template I can reverse engineer or rework to suit my needs. Having a solid foundation that I knew worked helped for me.
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Arvell C.
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Start with a template.
Jason C.
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That’s exactly where I’m at right now. Without fully understanding how Lindy’s workflows and decision paths fit together yet, it’s hard to truly reverse-engineer a template instead of just tweaking it blindly. My goal is to build enough foundational understanding first so I actually know why something works before I start reshaping it.
Jason C.
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👍
Kourtney G.
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Ah see, like an LLM I need to see the example of what is good before I can find my way there. Otherwise I really do feel blind. If I can review a template and see what tools were used, what coding or node choices were made, I can apply that to other concepts and that’s when I start to build my own versions. I’m also a fan of using my Dia browser to guide me step by step as a work through ideas. Cheaper than the Agent Builder in app.
Jason C.
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Dia browser?
Kourtney G.
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https://www.diabrowser.com/ ai browser - not agentic, so it’s not going to surf around for you - but can chat with it about your window/tabs so it can help you along step by step if you want.
Jason C.
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👍 Ahh got it — thanks for clarifying. That’s actually perfect for where I’m at: using it as a “thinking + drafting” layer while I’m learning, then only jumping into Lindy once the workflow/prompt is solid. I’m going to check Dia out and use it to tighten my prompts before I burn more Lindy credits. Thank you!
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