Launching today
LemonLime
Automates your existing workflows with a single prompt.
82 followers
Automates your existing workflows with a single prompt.
82 followers
LemonLime lets teams automate their workflows in minutes with a single click. It connects to your existing tools, studies your business, and self-creates specialized AI agents and automations that support your team. Don’t know where to start? LemonLime helps with that, too, automatically surfacing suggested automations that you can implement with a single click.
LemonLime
PicWish
@jordanlemon what happens when tool APIs change or data structure shifts in connected apps like Linear? does it flag drift or auto adjust the agent?
The per-business adaptation is the right instinct, but it's also the thing that bites at scale, and I say that as someone who built custom AI implementations before productizing. Every bespoke automation you ship is a maintenance liability the day an underlying API deprecates an endpoint or a model update shifts a prompt's behavior. Ten custom builds is fine, a few hundred and you're spending all your time patching drift instead of onboarding. How are you keeping the per-customer customization from turning into per-customer upkeep? Some shared automation core underneath, or is each one genuinely hand-built?
LemonLime
@dipankar_sarkar Yep, you're onto it. Good catch. We came from customer consulting as well, and pivoted because we realized so much of the work upfront was actually just finding and organizing things, the "company brain" buzzword being used. This is the shared automation core you're talking about, which acts as the roads for which our cards (agents) can operate much more effectively for them.
I like the focus on adapting to each business instead of forcing a one-size-fits-all workflow. This could make AI much more accessible for startups and SMBs. Congrats on the launch! One question: how long does it typically take for a new customer to get their first useful automation up and running?
LemonLime
@aren_barseghyan Hey Aren!
Yep, you hit the nail on the head. The effect of accessibility in AI (or lack thereof) is accelerating in magnitude. The disparity between those using AI and those without it is going to widen and widen, and the way it's happening right now, I believe we're seeing a lot of massive enterprise companies walking over the small businesses under them, and part of our mission is to bridge that gap. To give small businesses the same metaphorical firepower to succeed and scale with AI that their enterprise counterparts are blowing billions on.
After a new user signs up and connects their tools, it starts an automatic learning period, where we send out a LOT of concurrent agents across all the resources we can to gather as much company specific knowledge as possible. That knowledge then informs the quality and success of the first few automations you set up. Setting up your first automation can vary depending on where the data lives, in what formats, etc, though our knowledge retrieval makes it significantly faster than alternatives (shoutout @dani__munoz).
But, the answer you're looking for: Roughly ~5-10 minutes, or <3 minutes if you let me walk you through it and optimize your LemonLime to get the most out of it for your specifics use cases. And I'm VERY happy to give walk throughs, shoot me an email and we can set one up! jordan@lemonlime.ai
Congrats on the launch!
Most of the AI initiatives I've seen die because nobody owns them after week two. How does your team handle that?
Also, is there an onboarding period before LemonLime is useful, or is it delivering from day one?
LemonLime
@grace_knowhow Hey Grace! Totally, you've got a great point. There's a research study that found 95% of internal AI initiatives fall flat of tangible ROI (it's a 2025 survey, but hey, still a good reference point for what you're talking about).
One of the key points of LemonLime is that it's not designed to be a new tool you have to learn how to use, that's often why we saw things fall flat – if somebody has to own it, that's work, and people don't want additional work, they want less of it. LemonLime connects to tools and self-creates the automations and agents that help you, so you don't have to build a single thing and you can STILL get value out of the product (or at least that's the idea!).
Yep, there's absolutely an onboarding period (during which we deploy a LOT of concurrent agents to do deep research and reasoning on your business, product, industry, competitors, etc), though it's pretty quick, right now it's usually around 15-30 minutes after all tools are connected. So yes to both of those, there's onboarding, but it's still able to deliver from day one.
Congrats on the launch. The self-creating part is the impressive bit, but here's the question I'd want answered as a small-business owner: when an auto-generated agent takes a real action (emails customers, edits records, anything outward-facing), does a human see and approve it first, or does it just run? For teams with no engineer watching, one confidently-wrong action is worse than no automation. Where do you draw that approval line by default?
LemonLime
@syed_noor4 Right now, there's a series of gated requests before outwardly facing or critical actions are taken. Email going to someone else? Needs approval. Drafting a proposal for you? No approval needed. Exactly why we draw the line here – there can't be any confidently-wrong action, but in the event it does happen, that's why LemonLime can source directly to the material the answer is derived from, so it actually requires proof of relevance from a given body to cite directly and then is compared back against it for almost "verification". Something we definitely are still thinking about as we scale and go forward.
@jordanlemon how does the LemonLime decide when to use AI agents vs traditional automation rules?
LemonLime
@dipanshu_kushwaha5 It's less complicated than that, at least how we're running it. Longer, actionable skills that aren't just retrieval-based reasoning requests are the agents. This is "I want somebody to do sales for me" into the chat, and with all the context of your pre-existing customers, industry angles, your existing strategy, etc, it will immediately deploy a set of agents to go do that for you, instantly.
TL;DR: Agents run a series of actions. Automations store either an agent or a swarm of agents so that when you might want to re-run that agent's job semi-regularly, it is literally a single click, or even less if you have it running on a set schedule.
Congrats! I’m especially curious for Business Intelligence or Marketing & Sales use cases, where the difference between “prompting” and reliable repeatable automation can matter a lot.
LemonLime
@crystalmei Totally, marketing is actually a fun use case for handling since it's a much broader umbrella encompassing content, copy, design, graphics, videos, ads, all of it. That's why it's critical to operate on company data as a primary source. LemonLime's marketing is then able to write copy based on your existing copy, not generic "AI slop", and is able to create graphics using your branding, your key points and copy, and understanding your audience to generate content aligned with your sales/marketing pipelines accordingly.
In short: prompting let you find anything, or use your own words to describe what you want done and it gets done.
Automations, on the other hand, is a repetetive workflow or process that, after being done once, LemonLime automatically recognizes the repeating and automates the process for you, meaning you can literally take care of it with a single click.