Congrats Emir! Your origin story is literally my job description. I prompt Claude to build automations for a 40-person company and the stack sprawl is real, so one workspace with shared context is the right pitch. My question: since 90% of usage is now chat-built, what happens when an agent needs to do something risky like sending a Slack message or an email? Can I set approval gates on specific nodes so a human signs off before it fires? That’s the line between a demo and something I’d let loose on production.
@ridhwikvinod absolutely. You can use the human-in-the-loop node to gate agent actions behind human intervention.
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How does Sim actually compare to n8n or Langflow for someone who already has a few agent flows running? Curious what the real differentiator is beyond the open-source angle.
@gkeaksoyakhabw Sim's biggest differentiator is the ability to build across your entire workspace with chat. You're able to monitor and debug production workflows with Sim and have it alert you for any errors or anomalies in production agents.
Sim has agent skills, file storage, native tables and vector storage, and some more capabilities that are built natively alongside workflows.
That 90% chat-over-canvas shift is fascinating 😅 We're in the automation space too, so I'm curious, can you explain a bit how Sim decides when to use a deterministic step vs an actual LLM call? That "don't burn tokens on work that didn't need an LLM" idea sounds simple but feels hard to get right in practice.
@mittalpatel thank you! The two types of nodes in the workflow are either deterministic "function", "API" or LLM-based "agent", "router", "evaluator", etc. Users can choose between either!
@kelly_king3 I completely agree! I hope you enjoy!
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@emirkarabeg The per-node flexibility between chat, canvas, and code is what other tools get wrong. Curious, which mode do most of your users end up living in?
I've seen everything from horse stables health tracking to home assistants to orchestrating thousands of manufacturing facilities. Honestly, you can do whatever you like.
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Congratulations on the launch!
the chat to agent workflow looks incredibly intuitive. how does Sim decide when to use deterministic steps versus an LLM during execution?
@avery_thompson2 it's entirely within your control to set up your workflow deterministically or LLM-based. If you'd like an agent to decide on the path, you can add a router that routes the workflow one way or another depending on the context you have at that point in time in the workflow.
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congrats! building agents through natural language feels like the right direction. how much manual editing is typically needed after Sim generates an agent?
@imogen_wallace if you come in with a good prompt, most workflows and agents are one-shottable!
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The token cost angle is underrated honestly 🚀 Everyone talks about agent capabilities but nobody talks about how expensive they get at scale. How much are teams typically saving once they switch to deterministic steps where possible?
@amna9 deterministic steps cut out the expensive tool call and processing steps that normally happen first when running an agent. Now, they only receive the context they need to produce a relevant output.
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Origami.chat
I use Sim every day, it's fantastic
Sim
@finn_mallery thanks Finn! Legend.
Sim
@ridhwikvinod absolutely. You can use the human-in-the-loop node to gate agent actions behind human intervention.
How does Sim actually compare to n8n or Langflow for someone who already has a few agent flows running? Curious what the real differentiator is beyond the open-source angle.
Sim
@gkeaksoyakhabw Sim's biggest differentiator is the ability to build across your entire workspace with chat. You're able to monitor and debug production workflows with Sim and have it alert you for any errors or anomalies in production agents.
Sim has agent skills, file storage, native tables and vector storage, and some more capabilities that are built natively alongside workflows.
See a full list of comparisons here: https://www.sim.ai/comparison
Congratulations Team Sim,
That 90% chat-over-canvas shift is fascinating 😅 We're in the automation space too, so I'm curious, can you explain a bit how Sim decides when to use a deterministic step vs an actual LLM call? That "don't burn tokens on work that didn't need an LLM" idea sounds simple but feels hard to get right in practice.
Sim
@mittalpatel thank you! The two types of nodes in the workflow are either deterministic "function", "API" or LLM-based "agent", "router", "evaluator", etc. Users can choose between either!
Creatium
This is so needed - agents working in isolation just aren't as effective!
Sim
@kelly_king3 I completely agree! I hope you enjoy!
@emirkarabeg The per-node flexibility between chat, canvas, and code is what other tools get wrong. Curious, which mode do most of your users end up living in?
Sim
@maurya_abhiranjan most users use the chat to workflow feature. It's very powerful! Give it a try.
I'd love to see more examples of workflows that have been built with Sim. What kind of use cases are you envisioning for the 1,000+ integrations?
Sim
@aymnart
I've seen everything from horse stables health tracking to home assistants to orchestrating thousands of manufacturing facilities. Honestly, you can do whatever you like.
Congratulations on the launch!
the chat to agent workflow looks incredibly intuitive. how does Sim decide when to use deterministic steps versus an LLM during execution?
Sim
@avery_thompson2 it's entirely within your control to set up your workflow deterministically or LLM-based. If you'd like an agent to decide on the path, you can add a router that routes the workflow one way or another depending on the context you have at that point in time in the workflow.
congrats! building agents through natural language feels like the right direction. how much manual editing is typically needed after Sim generates an agent?
Sim
@imogen_wallace if you come in with a good prompt, most workflows and agents are one-shottable!
The token cost angle is underrated honestly 🚀
Everyone talks about agent capabilities but nobody talks about how expensive they get at scale. How much are teams typically saving once they switch to deterministic steps where possible?
Sim
@amna9 deterministic steps cut out the expensive tool call and processing steps that normally happen first when running an agent. Now, they only receive the context they need to produce a relevant output.