Obsidian markdown files give agents the memory they desperately need
βThis is Obsidian. And Obsidian is great at compiling a lot of the notes that you have. So you can see here we have all these notes over here. Okay, we have, you know, agent shared decisions, handoffs, knowledge, projects that we have over here. But here's the problem. You work with these agents all the time. They forget what you're talking about. And you need something like this that's going to remember.β
Oracle uncovered a 34% vs 6% conversion signal hidden in product data
βThen you have Oracle found a conversion signal in the product data. Free users who connect their analytics within 48 hours convert to paid at 34%. Versus 6% for users who don't. What are you going to do with that data? I'll tell you this, my team cannot do without single brain right now or any type of world intelligence. They say it's a 9 out of 10 in terms of usefulness. We've had interns onboard themselves without being prompted to do that.β
The first 90 days are messy before the flywheel kicks in
βmonth one, when you're when you're trying to start this out, when you're trying to roll this out, it's going to be tough. There's going to be a lot of hallucinations. Things are going to break. You're going to have to reset the models. You're going to have to gateway restart a bunch of times. Month two, auto research, right? You're going to have things that are maybe you're starting to get some patterns. Maybe it's starting to work. Maybe you're starting to reuse some of these agents more and the fleet of agents is starting to move for you. Okay? Then month three, the flywheel starts to spin and then you're starting to see major lifts in terms of what you're doing.β
Single Brain unifies all company data into one queryable intelligence layer
βSo this single brain you have all this data from within your company, okay? Could be your CRM, all your chats, all your analytics, your Google Docs, all these things they are feeding into this single brain over here. And then your entire team can query whatever data that they want throughout the single brain. So they can ask about how sales performing or what are the deals in our pipeline right now that are stuck, what are the angles that we should approach outbound sales, for example, or who are the clients that seem like they need the most attention right now.β
Fat skills, thin harnesses is the right architecture for AI agents
βSo there's this concept right now known as you want to have fat skills, thin harnesses. And this is not talking about body shaming anybody. It's more so, hey, if your skills are really detailed and your skills are really in-depth and your harness, which is your driver, okay, so like Claude Code could be your driver for example, like a harness, and your your harnesses are thin. Ultimately, what matters is how in-depth your skills are.β
Sandbox each agent so one failure doesn't take down the fleet
βAnd then we run that on Nemo Claw. So that way it's each agent is sandbox. So you know if one gets destroyed or one gets, you know, infected or something like that, it's not going to affect the other agents, right? Not many companies are doing this right now. If you're doing this right now, you are in the top 1% of the 1%.β
Alfred the CFO agent found $500K in annual savings at Single Grain
βAlfred here ran the quarterly vendor and ops audit. So this is like a CFO situation. Okay. So it found three immediate savings, redundant CRM licenses, 12 unused seats, $43,000 per year, overlapping SEO tools, three tools doing the same job, 18 grand a year, and then underperforming ad campaigns as less than less than one one 438 grand a year. So total savings that you can get is 500 grand a year. Okay. So basically, we had Alfred do a CFO analysis and it saved I I kid you not 500 grand. It said you should be cutting costs in these areas and 3 days later I cut those costs and we're in a nicer spotβ