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In this complete tutorial, you'll discover how Abacus lets you create powerful AI agents through simple conversations. No programming skills needed! I'll show you step-by-step how to build agents that can handle complex tasks, integrate with your favorite tools, and automate your workflow.
What you'll learn:
• How to create AI agents using only chat commands
• Why Abacus outperforms traditional AI tools like ChatGPT for agent building
• Real examples of agents I built in under 10 minutes
• Best practices for designing effective AI agents
• How to integrate your agents with existing tools and workflows
Perfect for entrepreneurs, marketers, and anyone who wants to harness AI power without touching code. By the end of this video, you'll have your first AI agent up and running!
You ever tried building a SAS app without writing code? I have. And let me tell you, it's a nightmare. One moment I'm copy pasting code from chat GPT. The next I'm deep in five different no code tools trying to glued together login page, database, and workflow. Everything's in a different tab. Nothing plays nicely and I've got a halfbroken Franken app at 3:00 a. m. But there's an easier way. And I've been playing with a platform that does all that with a few clicks and simple prompts. So, in this video, I'm going to show you exactly how to use it, how it all works, and all the cool things you can create in a few minutes. The tool is called Deep Agent by Abacus AI. And first, let's solve that original pain point, launching a web app idea without coding. I'm going to build mini CRM system. You know, contacts, leads, pipelines, the works. And I'll do it with a single prompt. In deep agent interface, I open up a new project and type a simple basic prompt. That's it. No boilerplate code, no choosing databases or servers. I just describe what I want. I hit enter and deep agent takes off immediately. I see the AI thinking and working through steps in the log panel. It's literally setting up the whole stack for me. If something goes wrong during this build process, I don't even break a sweat. I just click ask to fix and usually in 15 seconds, the air vanishes. After about 2 minutes of wearing away, boom, my CRM app is ready. Chat LM outputs a link to a live preview of the app just built. I click it and I'm honestly stunned by how polished it looks. This isn't some barebones demo. It actually looks usable and professional. Now, I'm sitting here thinking, did I seriously just get a functional multi-user CRM from one sentence? This would have been impossible for me to assemble on my own with random tools. But here, it's all integrated. the database, the business logic, the front end UI, even the generated name and dummy logo for the app. It's running in the cloud, too. I could share this link with my team right now. Now, the real test. Can I expand this app just as easily? Let's say I realize I need a couple more features. Normally, adding that would mean writing new code, migrating databases, praying nothing breaks. But here, just going to tell chat lm what I need. In the same project chat, I type a prompt, hit enter, and sit back. Chat LM understands this is a continuation of my CRM request, goes back to work, update in the back end, and adjust in the front end. Just like that, new features appear. I didn't write a single line of code or open a dozen dashboards. Chat LM just got it done. This platform isn't just about saving time. It's about lowering the barrier to turn an idea into working product. I'm already thinking, what else can I build with this? Which brings me to the next part. So I can ask for a Craigslist style marketplace. I literally type something like make me a website where people can post items, browse by category and search. Again, one sentence. The logs fire up like before. Setting up database structures for categories, handling image uploads, wiring in search logic, building out lists and pages. Then it gives me a link and I click through into what looks exactly like a working Craigslist clone. Users can register, log in, post ads with pictures, browse through categories, search across the listings. It isn't a pretty demo. It is a functioning marketplace. What blows my mind isn't just that it works. It is that all the painful details I'd normally stress about are handled. Where are the images stored? How do I handle category filters? How does search scale? None of that crosses my mind because it's all just built. All I do is describe what I want in plain English. What makes Abacus different from every other no code tool I've touched is that it isn't locking me into templates or cookie cutter blocks. When I type a prompt, it doesn't just stitch together widgets. It actually spins up a full stack from scratch, complete with backend logic, database schema, and front-end UI that all talks to each other. And because these builds run as live artifacts inside the platform, I don't have to export anything or hope it deploys correctly somewhere else. The app just exists, instantly usable and sharable. The crazy part is I don't even have to think about which AI model is powering it under the hood. Abacus quietly routes each step to the best engine for the job. GPT 4. 1 if it needs precision, DeepS if it's heavy data work, Gemini if it's logic driven. From my side, it just feels like typing plain English and getting back working and product. But behind the scenes, it's this model agnostic brain doing all the hard decisions for me. By this point, I'm hooked. So, I push further. Social media is always the biggest stress test. So, I say, "Make me a simple social app like X where users can post, like, and follow each other. " Again, the log window lights up. Watching it is addictive. Live coding, but without the coding. When it finishes, I open the
link and suddenly I have a stripped down Twitter. The whole flow is there. It isn't perfect. Of course, it's not going to rival access infrastructure, but as an MVP, it is beyond usable. It is the kind of thing a startup would proudly demo to investors 10 years ago. And what really gets me is that it handles the subtle stuff. Following and unfollowing updates the feed correctly. Likes persist across refreshes. User profiles link properly. These aren't toy buttons slapped on a page. It is a real logic working under the hood. And again, I haven't written a line of code. Next, I get boring again and try an HR SAS. I type a prompt like make me an HR management app with employee records, ROS, and PTO tracking. Once more, chat LM spins into action setting up schemas for employees, wiring dashboards, configuring forms for leave requests. When the build finishes and I click through, I'm looking at an HR dashboard where I can add employees, assign ROS, and track time off. And I've only described it once. This is the moment I start thinking about how many companies out there are still duct taping spreadsheets for HR or paying thousands for clunky SAS. Meanwhile, I just made a working HR platform by vibing into the chat. Then I want something more ambitious notion style dog tool. So I say make me a collaborative note taking SAS with workspaces and pages. This one takes a little longer in the logs because clearly it is juggling realtime editing logic. But when it finishes, I have a work in notion light, something people can actually use together. And again, it is all hosted, live sharable. Watching that appear after a single sentence feels surreal. I'm so used to thinking of real time collaboration as the domain of entire engineering teams, months of work, websockets, and sync issues. But here it is humming away in a cloud instance, and all I've done is type a line. Finally, I decided to go for a recruitment app. I tell it, make me a platform where companies post jobs and candidates can apply. Logs spin, job tables, application forms, admin review panels. When it finishes, the app opens into job board with live listings, application forms candidates can fill and admin backend where submissions appear. In other words, functioning recruitment platform. This isn't a demo. This is a working hiring system. And at that point, I have to lean back and just take it in one sitting with no code. I built a CRM, Craigslist, social feed, an HRS, a notion style doc tool, and a recruitment platform. All live, all functional, all hosted in the cloud. And at no point do I wrestle with Firebase or configure a server. No stack, no glue, no late night stack overflow. That's why people keep calling it vibe coding because the barrier between idea and product feels like it is gone. I don't think about tech stacks. APIs. I think about what I want to exist. I describe it and then I click into it minutes later. And what's wild is how real the apps feel. Authentication, databases, front ends, logos, even names, all built in. This isn't a toy. It is MVP as a service. After using chat lamb like this for a while, I'm realizing it's not just about convenience. It's also about cost and collaboration. I used to shell out for separate services. one for GPT access, one for an image generator, one for a code assistant, etc. That added up, not to mention the cognitive load of remembering which thing I did where with Chat LM, it's one subscription for basically everything. And if I want to bring my team in, say I have a few colleagues who also want to work on the AI projects or use the agents we set up. There is a teams mode where I can invite them into a shared workspace. We all see the same project chats, share the same AI memory for our documents and data, and it's all on one bill instead of everyone expensing their own collection of tools. That's a huge relief for a small startup or content team. Brainstorm, code, generate content, all collaboratively within Chad LM. No more emailing files around or which chat did you use for that confusion. One more thing, in Abacus, you get access to all the popular LMS under one roof so that you can cross-ch checkck the results and tailor your workflow to the best tool for the job. At the end of the day, what ChatLM gives me is simplicity and speed. I go from struggling with disjointed tools and incomplete code to having one hub that does it all. In a single session today, I went from a plain English idea to a live web app. I don't think I've ever been able to do so much so quickly and in such a straightforward way. This is how building and running projects works in 2025. Focus on the idea and the execution is largely handled by AI helpers. I am genuinely impressed. ChatM has earned its spot in my daily toolkit. Of course, no platform is perfect and it won't replace specialist tools for every single need, but I can avoid subscribing to five
different services and instead use one smart ecosystem, I'm all for it. And as an entrepreneur, consolidating tools saves me not just money, but also my sanity. So yeah, if you're tired of 3:00 a. m. debugging, you're tired of juggling five dashboards. If you want to see your ideas turn into apps without the usual pain, just try it. Build your CRM, build your Craigslist, build your weird social app for cat owners or your niche HR SAS. Just type it in and watch it appear.