LaunchLemonade

What LaunchLemonade is

LaunchLemonade is a no-code platform for building AI assistants, which its blog calls "AI agents", for people who know the work but do not write code. Its own pages describe it as "designed for people who know the work, even if they do not write code." The audience is professionals and teams: the navigation offers one path "For professionals & teams" ("Use AI agents to run your firm") and another "For builders" ("Build agents and earn in our store"). The founder and CEO is named on its blog as Cien Solon. The pages name no headquarters or founding year.

What you build and how

The core object is an assistant you configure in plain English. The home page walks through the steps in a mock-up of the builder. One step asks "What should it know?" and splits the answer in two. Skills are "Short, reusable instructions it keeps in mind on every reply: tone, rules, how-tos", kept small so they fit in every prompt. Knowledge is documents and web pages the assistant searches when relevant, such as reference docs, policies and research, and it "can be large; it pulls in only the parts that matter." The site sums up the difference: skills apply on every reply, knowledge is searched when it is relevant. The pitch behind this is that "Generic AI forgets your business", so the builder is about loading your own context into the assistant.

Model choice is part of the product. The home page shows "The model picker, straight from the app": "Anthropic, OpenAI, Google, DeepSeek, Mistral and more. Switch mid-chat, thread kept." A separate feature called Second opinion lets you ask another model to check an answer before you act on it. The mock-ups show specific models such as Claude Opus 5 and GPT-5.1 in that role, and those are the product's own examples of what a picker shows.

Once an assistant exists, the site gives it four ways to live. You can use it yourself: "Chat, talk out loud, or put it on a schedule and let it run without you." The schedule example is an assistant labeled "Runs Mondays" at 07:00, and another mock-up shows a monthly draft written in your voice from the month's numbers and notes, "Waiting for your review. Nothing sends itself." You can share it with your team. You can publish it: "Embed it on your website, or put it on a stand with a QR code." The embed example shows a chat bubble on a company site with a small "Powered by LaunchLemonade" label, and the QR option is a printable code that anyone can scan to start a chat. Publishing is "Free to enable, and you stay in control." Finally, you can sell it: "List it, set your price, and earn when people subscribe." The site says it handles billing and takes "a small cut", and that you "keep the majority of every sale", with payouts made automatically.

That mix is why this entry sits under chatbot builders. The customer-facing chatbot is one of several outputs of the same assistant, next to private use, scheduled runs and a store listing. It is not a flow canvas for scripting dialogue branches. The pages describe building by instruction and knowledge, not by drawing decision trees.

A blog post on the site compares it with workflow tools and positions LaunchLemonade for "Governed AI agents for regulated SMBs", with "no-code agents, audit trails, approvals, and model choice". The same post says it combines no-code AI agents and workflows with audit trails, approvals, RBAC, governance dashboards and reporting "on relevant plans". It also states the limit plainly: it is "Built for AI-agent operations, not every traditional RPA requirement."

Beyond the software, the site sells services. Under Services the navigation lists AI Consulting ("Custom AI agents for your business"), AI Training ("Hands-on training for your team") and White Label ("Our platform, your brand"). The home page says everything on it is self-serve, and that when you want speed or certainty, "we train your team or build it with you." AI Team Training covers secure AI basics, real workflows and governance habits, and AI consulting is described as designing and building "a working set of assistants your team actually runs."

What the site states

The plans are only partly published. The home page FAQ says "the LaunchLemonade Free plan costs $0 and gives hands-on access to a selection of mid-tier models including Kimi K2, Qwen, and DeepSeek, with free credits to get started." The page does not give the number of credits. The blog footer reads "Start for $0/month or go Pro at $49/month. No hidden fees, no per-seat surprises." A separate blog post about no-code AI tools says that "For AI agent building specifically, LaunchLemonade starts at $25/month." Those two figures differ, and the pages do not explain why, so confirm the current Pro price on the pricing page before you plan around either. An FAQ answer also says some plans add custom governance, regulatory mapping and private deployment options.

For support, the home page FAQ says teams that want a walkthrough can book a demo through the site, and existing customers can reach the team through live chat after logging in or by email. The pages state no SOC 2, HIPAA or GDPR certification, no data region, and no user count. The blog posts are written by the founder or by a blog writer persona called Lem, so treat their comparisons with other vendors as the company's own opinion.

Who it suits and who it does not

LaunchLemonade suits a consultant, a small firm or an ops team that wants an assistant loaded with its own policies, price sheets and reference material, and that wants to try several models without rebuilding anything. The schedule option helps with recurring reports and drafts, and the review step on those drafts matters for anyone who does not want automation to send things unchecked. An agency or trainer could use the white-label and training offers to bring clients on board, and a builder with a niche assistant has the store as a way to earn from it.

It is a weaker fit if you need a visual conversation designer with branching paths, or a deep integration catalog. The pages show a model picker, knowledge and skills, and publishing options, but do not list the apps an assistant can connect to, so check that against your own stack. The two published Pro-level prices disagree, and the free plan is described only by its model access and "free credits", so budget questions need a look at the live pricing page. Regulated teams should read the governance claims as claims: audit trails, approvals and RBAC are named, but no compliance certificate is.