{"id":11128,"date":"2026-08-12T09:10:24","date_gmt":"2026-08-12T09:10:24","guid":{"rendered":"https:\/\/launchlemonade.app\/blog\/?p=11128"},"modified":"2026-08-12T05:13:39","modified_gmt":"2026-08-12T05:13:39","slug":"how-to-build-your-own-ai-agents-with-launchlemonade","status":"publish","type":"post","link":"https:\/\/launchlemonade.app\/blog\/how-to-build-your-own-ai-agents-with-launchlemonade\/","title":{"rendered":"How to Build Your Own AI Agents With LaunchLemonade"},"content":{"rendered":"<h1 class=\"text-2xl font-bold mt-4 mb-2\">Build Useful, Secure AI Agents for Your Team<\/h1>\n<section id=\"quick-answer\">\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Quick Answer<\/h3>\n<p class=\"my-2\">How to build your own AI agents starts with one focused business problem. Next, define the desired output and add clear instructions. Then, test the agent with real examples before sharing it. Finally, apply access controls and human approvals for sensitive work.<\/p>\n<\/section>\n<section id=\"ai-summary\">\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">What This Guide Covers<\/h3>\n<ul class=\"list-disc list-outside my-2 space-y-1 pl-6\">\n<li class=\"pl-2\">How to select the right first AI agent use case<\/li>\n<li class=\"pl-2\">How to define an agent\u2019s job before building<\/li>\n<li class=\"pl-2\">How to create an assistant in LaunchLemonade<\/li>\n<li class=\"pl-2\">How to add documents, tools, and model choices<\/li>\n<li class=\"pl-2\">How to test outputs and reduce risk<\/li>\n<li class=\"pl-2\">How to set approvals, access controls, and ownership<\/li>\n<li class=\"pl-2\">How to improve your agents after launch<\/li>\n<\/ul>\n<\/section>\n<h2 class=\"text-xl font-bold mt-3 mb-2\">What Should You Decide Before Building an AI Agent?<\/h2>\n<p class=\"my-2\">How to build your own AI agents becomes easier when you define one clear outcome. Therefore, avoid starting with a vague goal such as \u201cautomate everything.\u201d<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Choose One Repeated Business Task<\/h3>\n<p class=\"my-2\">First, look for work your team repeats each week. The best first task usually has known inputs, steps, and outputs.<\/p>\n<p class=\"my-2\">For instance, a useful first agent could help with:<\/p>\n<ul class=\"list-disc list-outside my-2 space-y-1 pl-6\">\n<li class=\"pl-2\">Preparing a research brief before a client meeting<\/li>\n<li class=\"pl-2\">Turning meeting notes into a follow-up draft<\/li>\n<li class=\"pl-2\">Checking a client onboarding pack for missing items<\/li>\n<li class=\"pl-2\">Producing a first draft of a weekly report<\/li>\n<li class=\"pl-2\">Summarising approved policy documents<\/li>\n<\/ul>\n<p class=\"my-2\">Start small because a narrow job is easier to test. Moreover, it gives your team a faster path to useful feedback.<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Define The Desired Outcome<\/h3>\n<p class=\"my-2\">Next, write one sentence that defines success. For example: \u201cCreate a concise client meeting brief using the supplied notes and approved documents.\u201d<\/p>\n<p class=\"my-2\">A strong outcome also names the audience and format. Consequently, the agent has less room to guess.<\/p>\n<div style=\"background-color: #111827; border: 1px solid #374151; border-radius: 12px; overflow-x: auto; max-width: 100%; margin: 16px 0;\">\n<table style=\"width: 100%; border-collapse: collapse; font-size: 14px;\">\n<thead>\n<tr style=\"background-color: rgba(255, 255, 255, 0.08); border-bottom: 2px solid #4B5563;\">\n<th style=\"padding: 14px 16px; text-align: left; font-weight: bold; color: #ffffff; border-right: 1px solid #374151;\">Planning Question<\/th>\n<th style=\"padding: 14px 16px; text-align: left; font-weight: bold; color: #ffffff; border-right: 1px solid #374151;\">Good Answer<\/th>\n<th style=\"padding: 14px 16px; text-align: left; font-weight: bold; color: #ffffff;\">Why It Matters<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr style=\"border-bottom: 1px solid #1F2937; background-color: rgba(255, 255, 255, 0.02);\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\">Who will use it?<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Client services team<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">Sets the right tone and depth<\/td>\n<\/tr>\n<tr style=\"border-bottom: 1px solid #1F2937;\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\">What starts the task?<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Meeting notes and client records<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">Defines the inputs<\/td>\n<\/tr>\n<tr style=\"border-bottom: 1px solid #1F2937; background-color: rgba(255, 255, 255, 0.02);\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\">What should it produce?<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">A one-page meeting brief<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">Defines the output<\/td>\n<\/tr>\n<tr style=\"border-bottom: 1px solid #1F2937;\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\">What must it not do?<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Give financial advice<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">Sets a safe boundary<\/td>\n<\/tr>\n<tr style=\"border-bottom: 1px solid #1F2937; background-color: rgba(255, 255, 255, 0.02);\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\">Who checks sensitive work?<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Relationship manager<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">Adds clear ownership<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Map Inputs, Decisions, And Outputs<\/h3>\n<p class=\"my-2\">Then, map the job as a simple flow. This makes hidden steps visible before you build.<\/p>\n<p class=\"my-2\">Ask these questions:<\/p>\n<ul class=\"list-disc list-outside my-2 space-y-1 pl-6\">\n<li class=\"pl-2\">What information does the agent need?<\/li>\n<li class=\"pl-2\">Which decisions can it make alone?<\/li>\n<li class=\"pl-2\">Which decisions need a person?<\/li>\n<li class=\"pl-2\">What format should the final result use?<\/li>\n<li class=\"pl-2\">Where should the result go?<\/li>\n<\/ul>\n<p class=\"my-2\">This map may reveal that you need a workflow, not only a chat assistant. In that case, an AI workflow builder can handle repeated steps, tool calls, decisions, and output formatting.<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Set A Clear Risk Boundary<\/h3>\n<p class=\"my-2\">Finally, decide what the agent can and cannot do. An agent that drafts an email has a different risk level from one that sends it.<\/p>\n<p class=\"my-2\">Therefore, use a simple rule: let the agent prepare, summarise, and recommend. Require a person to approve actions that affect clients, records, payments, or compliance.<\/p>\n<p class=\"my-2 ll-suggested-visual-hidden\"><em class=\"italic\">Suggested Visual: A simple flowchart showing task input, AI processing, human review, and approved final action.<\/em><\/p>\n<h2 class=\"text-xl font-bold mt-3 mb-2\">Why Should You Start With a Narrow Use Case?<\/h2>\n<p class=\"my-2\">A narrow use case makes your first build faster, safer, and easier to measure. In contrast, a broad agent often creates unclear outputs and unclear responsibility.<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Small Wins Build Team Trust<\/h3>\n<p class=\"my-2\">A focused agent gives people a clear reason to try it. For example, a meeting-prep assistant can save time without changing an entire business process.<\/p>\n<p class=\"my-2\">As a result, team members can compare the output against their current method. That comparison makes value visible.<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Clear Tasks Are Easier To Improve<\/h3>\n<p class=\"my-2\">A defined task also creates better feedback. Instead of saying \u201cthe agent is not good,\u201d users can say exactly what went wrong.<\/p>\n<p class=\"my-2\">They may identify that the agent:<\/p>\n<ul class=\"list-disc list-outside my-2 space-y-1 pl-6\">\n<li class=\"pl-2\">Missed a required section<\/li>\n<li class=\"pl-2\">Used the wrong tone<\/li>\n<li class=\"pl-2\">Relied on an old document<\/li>\n<li class=\"pl-2\">Failed to ask for missing information<\/li>\n<li class=\"pl-2\">Produced an answer that was too long<\/li>\n<\/ul>\n<p class=\"my-2\">Then, you can improve one instruction or document at a time.<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Choose Work With Human Review Built In<\/h3>\n<p class=\"my-2\">Initially, select work that already includes review. For instance, most teams check a report draft before sending it.<\/p>\n<p class=\"my-2\">This existing habit helps the agent fit into real work. Furthermore, it reduces pressure to trust the first output without scrutiny.<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Avoid High-Stakes Autonomy First<\/h3>\n<p class=\"my-2\">Do not begin with an agent that can send client messages, update core systems, or make compliance decisions alone. Instead, begin with a drafting or research task.<\/p>\n<p class=\"my-2\">That approach does not limit ambition. Rather, it creates a safer foundation for later automation.<\/p>\n<div style=\"background-color: #111827; border: 1px solid #374151; border-radius: 12px; overflow-x: auto; max-width: 100%; margin: 16px 0;\">\n<table style=\"width: 100%; border-collapse: collapse; font-size: 14px;\">\n<thead>\n<tr style=\"background-color: rgba(255, 255, 255, 0.08); border-bottom: 2px solid #4B5563;\">\n<th style=\"padding: 14px 16px; text-align: left; font-weight: bold; color: #ffffff; border-right: 1px solid #374151;\">Use Case<\/th>\n<th style=\"padding: 14px 16px; text-align: left; font-weight: bold; color: #ffffff; border-right: 1px solid #374151;\">Good First Build?<\/th>\n<th style=\"padding: 14px 16px; text-align: left; font-weight: bold; color: #ffffff; border-right: 1px solid #374151;\">Human Review Needed?<\/th>\n<th style=\"padding: 14px 16px; text-align: left; font-weight: bold; color: #ffffff;\">Reason<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr style=\"border-bottom: 1px solid #1F2937; background-color: rgba(255, 255, 255, 0.02);\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\">Meeting brief<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Yes<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Yes<\/td>\n<td style=\"padding: 12px 16px; color: #34d399; font-weight: 500;\">Clear input and easy review<\/td>\n<\/tr>\n<tr style=\"border-bottom: 1px solid #1F2937;\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\">Research summary<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Yes<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Yes<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">Useful, but facts need checking<\/td>\n<\/tr>\n<tr style=\"border-bottom: 1px solid #1F2937; background-color: rgba(255, 255, 255, 0.02);\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\">Client email draft<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Yes<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Yes<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">Agent drafts, person sends<\/td>\n<\/tr>\n<tr style=\"border-bottom: 1px solid #1F2937;\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\">Compliance report finalisation<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Later<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Always<\/td>\n<td style=\"padding: 12px 16px; color: #f87171;\">Higher operational risk<\/td>\n<\/tr>\n<tr style=\"border-bottom: 1px solid #1F2937; background-color: rgba(255, 255, 255, 0.02);\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\">Automatic system update<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Later<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Usually<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">Needs strict controls<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<h2 class=\"text-xl font-bold mt-3 mb-2\">How Do You Build an Agent in LaunchLemonade?<\/h2>\n<p class=\"my-2\">Use this process when learning how to build your own AI agents for client work. LaunchLemonade lets non-technical users describe an assistant\u2019s job in plain English, then refine the suggested setup.<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Start With a Plain-English Brief<\/h3>\n<p class=\"my-2\">First, select\u00a0<strong class=\"font-bold\">New Assistant<\/strong>\u00a0from your workspace. Then, describe the job in everyday language.<\/p>\n<p class=\"my-2\">For example, you might write: \u201cHelp our advisory team create a concise meeting brief from client notes. Use our approved research template. Flag missing information. Never present unverified statements as facts.\u201d<\/p>\n<p class=\"my-2\">LaunchLemonade can suggest a system prompt, tools, and configuration from that brief. However, you should still review every part before use.<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Configure The Core Components<\/h3>\n<p class=\"my-2\">Next, give the agent enough detail to act consistently. A good agent creation tool should make the job clear before the conversation begins.<\/p>\n<p class=\"my-2\">Include these parts:<\/p>\n<ul class=\"list-disc list-outside my-2 space-y-1 pl-6\">\n<li class=\"pl-2\"><strong class=\"font-bold\">Role:<\/strong>\u00a0Who the agent is helping and what expertise it applies<\/li>\n<li class=\"pl-2\"><strong class=\"font-bold\">Task:<\/strong>\u00a0The exact work it performs<\/li>\n<li class=\"pl-2\"><strong class=\"font-bold\">Process:<\/strong>\u00a0The steps it follows<\/li>\n<li class=\"pl-2\"><strong class=\"font-bold\">Output:<\/strong>\u00a0Required headings, length, and tone<\/li>\n<li class=\"pl-2\"><strong class=\"font-bold\">Limits:<\/strong>\u00a0What it must never do<\/li>\n<li class=\"pl-2\"><strong class=\"font-bold\">Escalation:<\/strong>\u00a0When it should ask a user for help<\/li>\n<\/ul>\n<p class=\"my-2\">Specific instructions improve consistency. Therefore, replace \u201cwrite a helpful summary\u201d with \u201cwrite a five-bullet summary, list open questions, and flag unverified claims.\u201d<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Add Approved Knowledge<\/h3>\n<p class=\"my-2\">Then, connect the documents the agent needs. LaunchLemonade supports PDF, DOCX, XLSX, PPTX, TXT, Markdown, CSV, HTML, and EPUB files up to 50MB each.<\/p>\n<p class=\"my-2\">The platform processes, chunks, and indexes those files for retrieval-augmented generation, often called RAG. In simple terms, the assistant finds relevant passages in your linked documents and uses them while forming an answer.<\/p>\n<p class=\"my-2\">That matters because your agent can work from your firm\u2019s templates, policies, and source material. Still, keep documents current and restrict access to approved files.<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Choose The Right Model And Tools<\/h3>\n<p class=\"my-2\">Your custom AI assistant builder should match the task to the model. LaunchLemonade is model-agnostic, and Professional and Team plans offer access to more than 300 large language models.<\/p>\n<p class=\"my-2\">These include major model families from:<\/p>\n<ul class=\"list-disc list-outside my-2 space-y-1 pl-6\">\n<li class=\"pl-2\">Anthropic, including Claude<\/li>\n<li class=\"pl-2\">OpenAI, including GPT<\/li>\n<li class=\"pl-2\">Google, including Gemini<\/li>\n<li class=\"pl-2\">Mistral<\/li>\n<li class=\"pl-2\">A wide range of open-source options<\/li>\n<\/ul>\n<p class=\"my-2\">Moreover, the free plan provides hands-on access to selected mid-tier models, including Kimi K2, Qwen, and DeepSeek. Choose a model based on task quality, speed, cost, and any policy needs. If you are unsure, LaunchLemonade can recommend or route to an appropriate model.<\/p>\n<p class=\"my-2 ll-suggested-visual-hidden\"><em class=\"italic\">Suggested Visual: A screenshot mock-up of an agent brief, showing role, task, knowledge base, output format, and approval settings.<\/em><\/p>\n<h2 class=\"text-xl font-bold mt-3 mb-2\">How Can You Write Better Instructions for Your Agent?<\/h2>\n<p class=\"my-2\">Better instructions reduce guesswork and make outputs easier to review. Therefore, write them like a clear handover to a capable new team member.<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Give The Agent A Specific Role<\/h3>\n<p class=\"my-2\">Start with a role that fits the task. For instance, \u201cYou are an operations assistant for a financial advisory firm\u201d is more useful than \u201cYou are helpful.\u201d<\/p>\n<p class=\"my-2\">However, do not give the agent authority it does not have. It can support an advisor without acting as one.<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Define A Repeatable Process<\/h3>\n<p class=\"my-2\">Next, tell the agent how to approach the task. A short sequence helps it handle work in the same order each time.<\/p>\n<p class=\"my-2\">For a research assistant, the process might be:<\/p>\n<ol class=\"list-decimal list-outside my-2 space-y-1 pl-6\">\n<li class=\"pl-2\">Review the supplied brief and linked documents.<\/li>\n<li class=\"pl-2\">Identify the client\u2019s stated goal.<\/li>\n<li class=\"pl-2\">Create a summary with evidence and open questions.<\/li>\n<li class=\"pl-2\">Flag information that needs human verification.<\/li>\n<li class=\"pl-2\">Format the result using the approved template.<\/li>\n<\/ol>\n<p class=\"my-2\">This structure also makes audits and reviews easier. Consequently, users know what they should expect from each run.<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Control Tone And Format<\/h3>\n<p class=\"my-2\">Then, state how the output should look. Include audience, length, headings, and voice.<\/p>\n<p class=\"my-2\">For example, ask for plain English, short paragraphs, and a distinct \u201cOpen Questions\u201d section. Likewise, you can require the agent to cite document names within its response if your team needs traceability.<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Add Limits And Escalation Rules<\/h3>\n<p class=\"my-2\">Finally, tell the agent when to stop. A useful instruction can say: \u201cDo not make assumptions about missing information. Ask the user for the needed detail.\u201d<\/p>\n<p class=\"my-2\">You can also require a warning when a request falls outside policy. As a result, the agent becomes more predictable without becoming less useful.<\/p>\n<div style=\"background-color: #111827; border: 1px solid #374151; border-radius: 12px; overflow-x: auto; max-width: 100%; margin: 16px 0;\">\n<table style=\"width: 100%; border-collapse: collapse; font-size: 14px;\">\n<thead>\n<tr style=\"background-color: rgba(255, 255, 255, 0.08); border-bottom: 2px solid #4B5563;\">\n<th style=\"padding: 14px 16px; text-align: left; font-weight: bold; color: #ffffff; border-right: 1px solid #374151;\">Instruction Area<\/th>\n<th style=\"padding: 14px 16px; text-align: left; font-weight: bold; color: #ffffff; border-right: 1px solid #374151;\">Weak Prompt<\/th>\n<th style=\"padding: 14px 16px; text-align: left; font-weight: bold; color: #ffffff;\">Stronger Instruction<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr style=\"border-bottom: 1px solid #1F2937; background-color: rgba(255, 255, 255, 0.02);\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\">Goal<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">\u201cHelp with onboarding\u201d<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">\u201cCreate an onboarding checklist from the supplied client data.\u201d<\/td>\n<\/tr>\n<tr style=\"border-bottom: 1px solid #1F2937;\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\">Output<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">\u201cWrite a summary\u201d<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">\u201cWrite five bullets, risks, and missing documents.\u201d<\/td>\n<\/tr>\n<tr style=\"border-bottom: 1px solid #1F2937; background-color: rgba(255, 255, 255, 0.02);\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\">Evidence<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">\u201cUse documents\u201d<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">\u201cUse linked policy files and flag missing evidence.\u201d<\/td>\n<\/tr>\n<tr style=\"border-bottom: 1px solid #1F2937;\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\">Tone<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">\u201cBe professional\u201d<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">\u201cUse plain English and a calm, client-ready tone.\u201d<\/td>\n<\/tr>\n<tr style=\"border-bottom: 1px solid #1F2937; background-color: rgba(255, 255, 255, 0.02);\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\">Limits<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">\u201cBe careful\u201d<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">\u201cDo not provide advice. Escalate uncertain cases.\u201d<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<h2 class=\"text-xl font-bold mt-3 mb-2\">How Do You Test AI Agents Before Sharing Them?<\/h2>\n<p class=\"my-2\">How to build your own AI agents safely requires testing before shared use. Testing checks whether the agent follows instructions, uses the right knowledge, and handles incomplete requests well.<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Create A Small Test Set<\/h3>\n<p class=\"my-2\">First, collect realistic examples from the task. Remove unnecessary sensitive information before using them.<\/p>\n<p class=\"my-2\">Include a mix of:<\/p>\n<ul class=\"list-disc list-outside my-2 space-y-1 pl-6\">\n<li class=\"pl-2\">Normal cases with complete inputs<\/li>\n<li class=\"pl-2\">Incomplete cases with missing details<\/li>\n<li class=\"pl-2\">Difficult cases with conflicting information<\/li>\n<li class=\"pl-2\">Edge cases that should trigger escalation<\/li>\n<li class=\"pl-2\">Requests the agent should decline<\/li>\n<\/ul>\n<p class=\"my-2\">This set gives you a repeatable quality check. Consequently, you can test improvements against the same standard later.<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Check The Output Against Your Standard<\/h3>\n<p class=\"my-2\">Next, review outputs with a short checklist. Do not judge quality only by whether the writing sounds polished.<\/p>\n<p class=\"my-2\">Check whether the agent:<\/p>\n<ul class=\"list-disc list-outside my-2 space-y-1 pl-6\">\n<li class=\"pl-2\">Followed the requested format<\/li>\n<li class=\"pl-2\">Used approved documents correctly<\/li>\n<li class=\"pl-2\">Avoided unsupported claims<\/li>\n<li class=\"pl-2\">Flagged missing information<\/li>\n<li class=\"pl-2\">Kept the right tone<\/li>\n<li class=\"pl-2\">Escalated when it should<\/li>\n<\/ul>\n<p class=\"my-2\">A polished answer can still be wrong. Therefore, accuracy and boundaries matter as much as fluency.<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Test Tools And Connected Data Carefully<\/h3>\n<p class=\"my-2\">If your agent uses connected tools, test each permission and action. LaunchLemonade supports integrations through MCP, an open standard that connects AI models to external tools and data sources.<\/p>\n<p class=\"my-2\">Available integrations include Gmail, Google Calendar, Google Drive, Google Sheets, Outlook Mail, Outlook Calendar, SharePoint or OneDrive, Notion, Fireflies.ai, TeamUp, web search, and RSS. Enable only the tools that support the specific task.<\/p>\n<p class=\"my-2\">OAuth tokens are encrypted, use scoped access, and do not require LaunchLemonade to store passwords. Even so, least-privilege access remains the right operational choice.<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Invite A Small Pilot Group<\/h3>\n<p class=\"my-2\">Finally, give the agent to a small group before wider rollout. Ask those users to record useful outputs, errors, and unclear behaviour.<\/p>\n<p class=\"my-2\">Then, update instructions, documents, or permissions based on their feedback. This loop turns a first draft into a reliable team asset.<\/p>\n<p class=\"my-2 ll-suggested-visual-hidden\"><em class=\"italic\">Suggested Visual: A testing checklist with columns for input quality, factual accuracy, formatting, escalation, and reviewer decision.<\/em><\/p>\n<h2 class=\"text-xl font-bold mt-3 mb-2\">When Should You Turn an Assistant Into a Workflow?<\/h2>\n<p class=\"my-2\">An assistant works well for interactive help. In contrast, an AI workflow builder is better for a repeated, multi-step process with a known trigger.<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Recognise The Workflow Signal<\/h3>\n<p class=\"my-2\">Consider a workflow when a task always follows the same sequence. For example, a weekly reporting process may collect data, analyse it, format a report, and send it for approval.<\/p>\n<p class=\"my-2\">A workflow can include tool calls, decision points, and output formatting. It can also run manually, on a schedule, or through events.<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Design The Steps Before Automating<\/h3>\n<p class=\"my-2\">First, write the current process in plain language. Then, mark which steps can be automated and which need human judgment.<\/p>\n<div style=\"background-color: #111827; border: 1px solid #374151; border-radius: 12px; overflow-x: auto; max-width: 100%; margin: 16px 0;\">\n<table style=\"width: 100%; border-collapse: collapse; font-size: 14px;\">\n<thead>\n<tr style=\"background-color: rgba(255, 255, 255, 0.08); border-bottom: 2px solid #4B5563;\">\n<th style=\"padding: 14px 16px; text-align: left; font-weight: bold; color: #ffffff; border-right: 1px solid #374151;\">Workflow Stage<\/th>\n<th style=\"padding: 14px 16px; text-align: left; font-weight: bold; color: #ffffff; border-right: 1px solid #374151;\">Possible AI Role<\/th>\n<th style=\"padding: 14px 16px; text-align: left; font-weight: bold; color: #ffffff;\">Human Role<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr style=\"border-bottom: 1px solid #1F2937; background-color: rgba(255, 255, 255, 0.02);\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\">Receive request<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Check required inputs<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">Provide missing details<\/td>\n<\/tr>\n<tr style=\"border-bottom: 1px solid #1F2937;\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\">Gather information<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Pull approved data<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">Confirm unusual cases<\/td>\n<\/tr>\n<tr style=\"border-bottom: 1px solid #1F2937; background-color: rgba(255, 255, 255, 0.02);\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\">Create draft<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Produce structured output<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">Review accuracy<\/td>\n<\/tr>\n<tr style=\"border-bottom: 1px solid #1F2937;\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\">Make decision<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Flag risks and choices<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">Approve sensitive action<\/td>\n<\/tr>\n<tr style=\"border-bottom: 1px solid #1F2937; background-color: rgba(255, 255, 255, 0.02);\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\">Deliver result<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Prepare final item<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">Authorise external delivery<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p class=\"my-2\">This division prevents accidental over-automation. Moreover, it makes accountability visible.<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Use Schedules for Regular Work<\/h3>\n<p class=\"my-2\">If the job happens every week or month, a schedule can reduce manual effort. LaunchLemonade workflows support daily, weekly, and custom cron schedules.<\/p>\n<p class=\"my-2\">For instance, a team might schedule a Monday morning pipeline summary. Still, schedule only work that has stable inputs and a clear reviewer.<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Plan for Errors<\/h3>\n<p class=\"my-2\">No process runs perfectly every time. LaunchLemonade records failed workflow runs with error details.<\/p>\n<p class=\"my-2\">Individual steps can retry automatically, skip, or stop the run. Therefore, decide in advance which failures are safe to retry and which require a person to investigate.<\/p>\n<h2 class=\"text-xl font-bold mt-3 mb-2\">How Do You Govern AI Agents as Your Team Grows?<\/h2>\n<p class=\"my-2\">How to build your own AI agents at scale needs ownership and guardrails. Governance should support useful work, not create friction without purpose.<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Assign An Agent Owner<\/h3>\n<p class=\"my-2\">Every agent needs one named business owner. That person does not need to be technical.<\/p>\n<p class=\"my-2\">The owner should:<\/p>\n<ul class=\"list-disc list-outside my-2 space-y-1 pl-6\">\n<li class=\"pl-2\">Keep instructions current<\/li>\n<li class=\"pl-2\">Review feedback and errors<\/li>\n<li class=\"pl-2\">Confirm source documents remain accurate<\/li>\n<li class=\"pl-2\">Approve major changes<\/li>\n<li class=\"pl-2\">Decide when the agent should retire<\/li>\n<\/ul>\n<p class=\"my-2\">This ownership prevents orphaned agents. Furthermore, it gives users a clear person to contact.<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Restrict Access By Role<\/h3>\n<p class=\"my-2\">People should access only the agents and data they need. On Team and Enterprise plans, LaunchLemonade includes role-based access control, often called RBAC.<\/p>\n<p class=\"my-2\">Admins can control which agents each user can access, which data an agent can use, and which actions need approval. As a result, teams can share useful agents without making every assistant available to everyone.<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Add Human Approval for Sensitive Actions<\/h3>\n<p class=\"my-2\">For sensitive tasks, human review should happen before the action runs. Team and Enterprise admins can flag actions for approval.<\/p>\n<p class=\"my-2\">Typical approval points include:<\/p>\n<ul class=\"list-disc list-outside my-2 space-y-1 pl-6\">\n<li class=\"pl-2\">Sending a client email<\/li>\n<li class=\"pl-2\">Finalising a compliance report<\/li>\n<li class=\"pl-2\">Pushing data into a connected system<\/li>\n<li class=\"pl-2\">Taking an action that changes a record<\/li>\n<\/ul>\n<p class=\"my-2\">LaunchLemonade logs every input and output for audit. Professional plans include audit trails, while Team and Enterprise plans add governance and reporting dashboards for administrators.<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Protect Data Without Losing Usability<\/h3>\n<p class=\"my-2\">LaunchLemonade runs its infrastructure in the UK on Google Cloud. Data is encrypted at rest, and TLS protects connections.<\/p>\n<p class=\"my-2\">Your conversations, documents, and agent configurations are not used to train AI models. In addition, PostgreSQL row-level security scopes team data to workspace membership.<\/p>\n<p class=\"my-2\">These controls matter, especially for firms handling client information. Nevertheless, each team should still set its own rules for document access, retention, review, and permitted use.<\/p>\n<p class=\"my-2 ll-suggested-visual-hidden\"><em class=\"italic\">Suggested Visual: A governance dashboard concept showing agent owner, access group, connected data, approval status, and audit log.<\/em><\/p>\n<h2 class=\"text-xl font-bold mt-3 mb-2\">How Can Teams Share and Improve AI Agents?<\/h2>\n<p class=\"my-2\">Teams improve agents fastest when sharing is deliberate and feedback is simple. Therefore, launch with clear user guidance instead of merely publishing an assistant.<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Share With The Right People<\/h3>\n<p class=\"my-2\">On paid Team plans, you can explicitly share an assistant with the whole team or selected members. You can grant view-only or edit rights.<\/p>\n<p class=\"my-2\">Nothing is shared automatically because you are in a team workspace. This gives owners control over who can use or change the agent.<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Create A Simple Feedback Routine<\/h3>\n<p class=\"my-2\">Ask users to share examples, not only opinions. A useful feedback message includes the input, the output, the expected result, and a short explanation.<\/p>\n<p class=\"my-2\">For example:<\/p>\n<ul class=\"list-disc list-outside my-2 space-y-1 pl-6\">\n<li class=\"pl-2\">\u201cThe meeting brief missed the agreed action section.\u201d<\/li>\n<li class=\"pl-2\">\u201cThe output used an outdated template.\u201d<\/li>\n<li class=\"pl-2\">\u201cThe agent should ask for a date when none is supplied.\u201d<\/li>\n<\/ul>\n<p class=\"my-2\">Specific feedback leads to focused changes. Consequently, the agent improves without endless rewrites.<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Update Knowledge and Instructions Together<\/h3>\n<p class=\"my-2\">When policy, templates, or processes change, update the relevant files and instructions. Changing only one can create inconsistent behaviour.<\/p>\n<p class=\"my-2\">Also, keep a short change record. This is especially helpful for customer-facing or regulated work.<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Know When To Get Help<\/h3>\n<p class=\"my-2\">The no-code AI builder is designed for domain experts. However, some projects need extra support.<\/p>\n<p class=\"my-2\">For complex builds, integrations, or governance setup, consider a walkthrough through the\u00a0<a class=\"text-blue-600 dark:text-blue-400 underline hover:no-underline font-medium\" href=\"https:\/\/launchlemonade.app\/book\" target=\"_blank\" rel=\"noopener noreferrer\">LaunchLemonade booking page<\/a>. Teams can also explore\u00a0<a class=\"text-blue-600 dark:text-blue-400 underline hover:no-underline font-medium\" href=\"https:\/\/launchlemonade.app\/platform\/teams\" target=\"_blank\" rel=\"noopener noreferrer\">AI agents for collaborative teams<\/a>\u00a0or start creating with the\u00a0<a class=\"text-blue-600 dark:text-blue-400 underline hover:no-underline font-medium\" href=\"https:\/\/launchlemonade.app\/platform\/builders\" target=\"_blank\" rel=\"noopener noreferrer\">LaunchLemonade agent builder<\/a>.<\/p>\n<h2 class=\"text-xl font-bold mt-3 mb-2\">What Does a Practical First 30 Days Look Like?<\/h2>\n<p class=\"my-2\">A 30-day plan keeps momentum while giving your team time to test safely. The aim is not to build many agents. Instead, the aim is to establish one useful, trusted pattern.<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Days 1 to 7: Pick And Define One Use Case<\/h3>\n<p class=\"my-2\">Choose one task and name its owner. Then, map inputs, outputs, risks, and review points.<\/p>\n<p class=\"my-2\">Keep the scope small. For example, build a research brief agent before attempting a full client-service workflow.<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Days 8 to 14: Build And Test<\/h3>\n<p class=\"my-2\">Create the assistant, add approved knowledge, and write clear instructions. Next, test it with a small set of realistic examples.<\/p>\n<p class=\"my-2\">Record issues in a shared list. Then, adjust instructions before inviting other users.<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Days 15 to 21: Pilot With A Small Team<\/h3>\n<p class=\"my-2\">Share the agent with a few people who perform the task regularly. Ask them to use it alongside their current process.<\/p>\n<p class=\"my-2\">Review where it saves time and where it introduces extra work. Consequently, you can decide whether the agent is ready for a wider release.<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Days 22 to 30: Govern And Expand Carefully<\/h3>\n<p class=\"my-2\">Set access rights, approval rules, and a review routine. Then, decide whether the task should remain an assistant or become a workflow.<\/p>\n<p class=\"my-2\">Use the results to select the next use case. A successful first agent often reveals several related opportunities.<\/p>\n<div style=\"background-color: #111827; border: 1px solid #374151; border-radius: 12px; overflow-x: auto; max-width: 100%; margin: 16px 0;\">\n<table style=\"width: 100%; border-collapse: collapse; font-size: 14px;\">\n<thead>\n<tr style=\"background-color: rgba(255, 255, 255, 0.08); border-bottom: 2px solid #4B5563;\">\n<th style=\"padding: 14px 16px; text-align: left; font-weight: bold; color: #ffffff; border-right: 1px solid #374151;\">Week<\/th>\n<th style=\"padding: 14px 16px; text-align: left; font-weight: bold; color: #ffffff; border-right: 1px solid #374151;\">Main Goal<\/th>\n<th style=\"padding: 14px 16px; text-align: left; font-weight: bold; color: #ffffff; border-right: 1px solid #374151;\">Deliverable<\/th>\n<th style=\"padding: 14px 16px; text-align: left; font-weight: bold; color: #ffffff;\">Success Signal<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr style=\"border-bottom: 1px solid #1F2937; background-color: rgba(255, 255, 255, 0.02);\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\">1<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Define the task<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Agent brief and risk boundary<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">Team agrees on the outcome<\/td>\n<\/tr>\n<tr style=\"border-bottom: 1px solid #1F2937;\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\">2<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Build and test<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Working first version<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">Outputs pass test cases<\/td>\n<\/tr>\n<tr style=\"border-bottom: 1px solid #1F2937; background-color: rgba(255, 255, 255, 0.02);\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\">3<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Run a pilot<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">User feedback log<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">Users find repeatable value<\/td>\n<\/tr>\n<tr style=\"border-bottom: 1px solid #1F2937;\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\">4<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Govern and improve<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Access, approvals, owner<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">Safe path to wider use<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<section id=\"key-takeaways\">\n<h2 class=\"text-xl font-bold mt-3 mb-2\">Key Takeaways<\/h2>\n<ul class=\"list-disc list-outside my-2 space-y-1 pl-6\">\n<li class=\"pl-2\">Start with one repeated task that has clear inputs and a useful output.<\/li>\n<li class=\"pl-2\">Define success, limits, and human review before you build.<\/li>\n<li class=\"pl-2\">Use plain-English instructions with a role, process, format, and escalation rule.<\/li>\n<li class=\"pl-2\">Connect only approved documents and tools that the agent truly needs.<\/li>\n<li class=\"pl-2\">Test normal, incomplete, difficult, and out-of-scope requests.<\/li>\n<li class=\"pl-2\">Turn repeated, structured processes into workflows only after the assistant works well.<\/li>\n<li class=\"pl-2\">Assign an owner, restrict access, and require approval for sensitive actions.<\/li>\n<li class=\"pl-2\">Improve agents through real user feedback and regular updates.<\/li>\n<\/ul>\n<\/section>\n<h2 class=\"text-xl font-bold mt-3 mb-2\">Conclusion<\/h2>\n<p class=\"my-2\">Building an AI agent does not require a technical team or a huge automation project. Instead, start with one repeated problem, clear instructions, and a review process. Then, test the agent with realistic work before sharing it more widely. As your confidence grows, you can add trusted knowledge, connected tools, workflows, and governance controls.<\/p>\n<p class=\"my-2\">LaunchLemonade gives teams a no-code route to build, customise, and manage AI agents without losing oversight. If you want help mapping your first use case,\u00a0<a class=\"text-blue-600 dark:text-blue-400 underline hover:no-underline font-medium\" href=\"https:\/\/launchlemonade.app\/book\" target=\"_blank\" rel=\"noopener noreferrer\">book a LaunchLemonade walkthrough<\/a>. You can also see how\u00a0<a class=\"text-blue-600 dark:text-blue-400 underline hover:no-underline font-medium\" href=\"https:\/\/launchlemonade.app\/platform\/teams\" target=\"_blank\" rel=\"noopener noreferrer\">LaunchLemonade supports teams<\/a>\u00a0and explore the\u00a0<a class=\"text-blue-600 dark:text-blue-400 underline hover:no-underline font-medium\" href=\"https:\/\/launchlemonade.app\/platform\/builders\" target=\"_blank\" rel=\"noopener noreferrer\">no-code agent builder<\/a>.<\/p>\n<h2 class=\"text-xl font-bold mt-3 mb-2\">Frequently Asked Questions<\/h2>\n<div class=\"faq-accordion\">\n<details>\n<summary><h3>Can I Build an AI Agent Without Coding?<\/h3><\/summary>\n<div class=\"faq-answer\">\n<p class=\"my-2\">Yes. LaunchLemonade is built for non-technical users. Describe the job in plain English, then edit the suggested instructions, tools, and configuration.<\/p>\n<\/div>\n<\/details>\n<details>\n<summary><h3>What Is the Best First AI Agent to Build?<\/h3><\/summary>\n<div class=\"faq-answer\">\n<p class=\"my-2\">Start with a repeated task that has a clear output. Meeting summaries, research briefs, onboarding checklists, and report drafts are practical first choices.<\/p>\n<\/div>\n<\/details>\n<details>\n<summary><h3>Can an AI Agent Use My Company Documents?<\/h3><\/summary>\n<div class=\"faq-answer\">\n<p class=\"my-2\">Yes. You can upload approved files to a knowledge base. The assistant finds relevant passages and uses them to ground its responses.<\/p>\n<\/div>\n<\/details>\n<details>\n<summary><h3>How Do I Stop an AI Agent From Taking Risky Actions?<\/h3><\/summary>\n<div class=\"faq-answer\">\n<p class=\"my-2\">Set clear limits in the instructions and restrict access. Team and Enterprise plans can require human approval before sensitive actions execute.<\/p>\n<\/div>\n<\/details>\n<details>\n<summary><h3>Which AI Models Can I Use in LaunchLemonade?<\/h3><\/summary>\n<div class=\"faq-answer\">\n<p class=\"my-2\">Professional and Team users can access over 300 language models. These include major Claude, GPT, Gemini, Mistral, and open-source options.<\/p>\n<\/div>\n<\/details>\n<details>\n<summary><h3>Can My Team Share and Edit an AI Agent?<\/h3><\/summary>\n<div class=\"faq-answer\">\n<p class=\"my-2\">Yes, on paid Team plans. You can explicitly share an assistant with the whole team or selected members as viewers or editors.<\/p>\n<\/div>\n<\/details>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Build Useful, Secure AI Agents for Your Team Quick Answer How to build your own AI agents starts with one focused business problem. Next, define the desired output and add clear instructions. Then, test the agent with real examples before sharing it. Finally, apply access controls and human approvals for sensitive work. What This Guide [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":11130,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[51],"tags":[],"class_list":["post-11128","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-platform"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v28.2 (Yoast SEO v28.2) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>How to Build Your Own AI Agents With LaunchLemonade<\/title>\n<meta name=\"description\" content=\"Learn how to build your own AI agents with LaunchLemonade, from choosing a task to adding governance and approvals.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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