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CEO Superblocks: How to find a unicorn idea by studying the AI ​​system

techtost.comBy techtost.com8 June 202504 Mins Read
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Ceo Superblocks: How To Find A Unicorn Idea By Studying
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Brad Menezes, Managing Director of Vibe Enterprise Codification Starting OverwhelmedHe believes that the next dollar starting ideas are hidden in almost a simple look: the system used by existing AIs.

System prompts are the long prompts-about 5,000-6,000 words-used by AI newly established companies to guide fundamental models from companies such as Openai or Anthropic on how to create AI products at their level of application. It is, in Menezes’ view, such as a main class in direct mechanics.

‘Each company has a completely different exhortation of the system for the same [foundational] Model, “he told TechCrunch.” They are trying to get the model to do exactly what is needed for a particular area, specific tasks. “

System instructions are not exactly hidden. Customers can request a lot of AI tools to share their own. But they are not always available to the public.

Thus, as part of the new product announcement of its own start to a AI Agent business coding called Clark, Superblocks offered To share a 19 System Protection File From some of the most popular AI coding products such as windsurf, manus, cursor, lovable and bolt.

Menezes’s Tweet became viralexamined by nearly 2 million, including big names in the valley such as Sam Blond, former funders fund and Brex, and Aaron Levie, a Superblocks investor. Overwhelmed announced Last week, which increased the $ 23 million series expansion, bringing the total A -$ 60 million series for Vibe coding tools aimed at non -manufacturers in businesses.

So we asked Menezes to walk us through how to study each other’s system, urges knowledge.

“I would say that the greatest learning for us are building Clark and reading through system prompts is that the system itself is perhaps 20% of the secret sauce,” Menezes explained. This prompt gives LLM the basic line of what to do.

The other 80% is “direct enrichment”, he said, which is the infrastructure that a starting is built around calls to LLM. This part includes instructions that give a user’s prompt and actions taken upon returning the answer, such as accuracy checking.

Roles, frames and tools

He said there are three parts of the system that lead to study: prompting roles, contexts and use tools.

The first thing to notice is that while the system prompts are written in natural language, they are extremely specific. “Basically you have to talk as if you would do a human partner,” Menezes said. “And the instructions must be perfect.”

The role of the role helps LLMs be consistent, giving both purpose and personality. For example, Devin begins with: “You are Devin, a software engineer using a real computer operating system. You are a real code-Wiz: Few developers are both talented and in understanding code, writing functional and clean code and iterating for your changes until they are right.”

The contextual prompt gives the models the framework to be examined before it acts. It should provide protective messages that can, for example, reduce costs and ensure clarity in the work.

The cursor instructions, “Only call tools when needed and never mention the tool names to the user – just describe what you do … Do not show code unless requested … Read the relevant file content before processing and correct clear errors, but do not guess or loop correct more than three times.”

The use of tools allows for agencies because it instructs models how to transcend text production. Replit’s, for example, is long and describes the processing and search code, language installation, adjusting and searching Postgresql databases, executing shell commands and much more.

The study of the system of others helped Menezes see what other Vibe encoders emphasized. Tools like Lovable, V0 and Bolt “Focus on quick repetition, “he said, while” Manus, Devin, Openai Codex and Replit “help users create full stack applications, but” output is still raw code “.

Menezes saw the opportunity to let non -developers write applications if its start could handle more, such as security and access to business data such as salesforce.

While it has not yet executed the start of its dreams of many billions, Superblocks has landed on some remarkable companies as customers, as he said, including Instacart and PayPaya Global.

Menezes is also a dog dog inside. Software engineers are not allowed to write internal tools. They can only create the product. Thus, his entrepreneurs have built agents for all their needs, as well as one that uses CRM data to identify drivers, who monitor support measurements, another that balances the work of human sales engineers.

“This is basically a way to build tools and not buy the tools,” he says.

Correction: This story was informed to clarify that the most recently announced round was an round of extension and to inform the series a total amount that increased.

CEO coding atmosphere find idea Overwhelmed studying Superblocks system unicorn
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