Brad Menezes, CEO of enterprise vibe coding startup Superblocks, believes the following crop of billion-dollar startup concepts are hiding in nearly plain sight: the system prompts utilized by current unicorn AI startups.
System prompts are the prolonged prompts — over 5,000-6,000 phrases — that AI startups use to instruct the foundational fashions from firms like OpenAI or Anthropic on the best way to generate their application-level AI merchandise. They’re, in Menezes view, like a grasp class in immediate engineering.
“Each single firm has a totally completely different system immediate for a similar [foundational] mannequin,” he informed TechCrunch. “They’re attempting to get the mannequin to do precisely what’s required for a selected area, particular duties.”
System prompts aren’t precisely hidden. Prospects can ask many AI instruments to share theirs. However they aren’t at all times publicly accessible.
In order a part of his personal startup’s new product announcement of an enterprise coding AI agent named Clark, Superblocks provided to share a file of 19 system prompts from among the hottest AI coding merchandise like Windsurf, Manus, Cursor, Lovable and Bolt.
Menezes’s tweet went viral, seen by nearly 2 million together with huge names within the Valley like Sam Blond, previously of Founders Fund and Brex, and Aaron Levie, a Superblocks investor. Superblocks announced final week that it raised a $23 million Collection A, bringing its complete to $60 million for its vibe coding instruments geared to non-developers at enterprises.
So we requested Menezes to stroll us by means of the best way to examine different’s system prompts to glean insights.
“I’d say the largest studying for us constructing Clark and studying by means of the system prompts is that the system immediate itself is perhaps 20% of the key sauce,” Menezes defined. This immediate provides the LLM the baseline of what to do.
The opposite 80% is “immediate enrichment” he stated, which is the infrastructure a startup builds across the calls to the LLM. That half contains directions it attaches to a person’s immediate, and actions taken when returning the response, comparable to checking for accuracy.
Roles, context and instruments
He stated there are three elements of system prompts to check: function prompting, contextual prompting, and power use.
The very first thing to note is that, whereas system prompts are written in pure language, they’re exceptionally particular. “You mainly have to talk as if you happen to would to a human co-worker,” Menezes stated. “And the directions should be excellent.”
Position prompting helps the LLMs be constant, giving each function and persona. As an illustration, Devin’s begins with, “You’re Devin, a software program engineer utilizing an actual laptop working system. You’re a actual code-wiz: few programmers are as proficient as you at understanding codebases, writing useful and clear code, and iterating in your modifications till they’re right.”
Contextual prompting provides the fashions the context to contemplate earlier than performing. It ought to present guardrails that may, as an example, cut back prices and guarantee readability on duties.
Cursor’s instructs, “Solely name instruments when wanted, and by no means point out instrument names to the person — simply describe what you’re doing. … don’t present code except requested. … Learn related file content material earlier than modifying and repair clear errors, however don’t guess or loop fixes greater than 3 times.”
Device use permits agentic duties as a result of it instructs the fashions the best way to transcend simply producing textual content. Replit’s, as an example, is lengthy and describes modifying and looking code, putting in languages, establishing and querying PostgreSQL databases, executing shell instructions and extra.
Learning others’ system prompts helped Menezes see what different vibe coders emphasised. Instruments like Loveable, V0, and Bolt “give attention to quick iteration,” he stated, whereas “Manus, Devin, OpenAI Codex, and Replit” assist customers create full-stack functions however “the output remains to be uncooked code.”
Menezes noticed a chance to let non-programmers write apps, if his startup may deal with extra, comparable to safety and entry to enterprise information sources like Salesforce.
Whereas he’s not but working the multi-billion startup of his desires, Superblock has landed some notable firms as prospects, it stated, together with Instacart and Paypaya International.
Menezes can be dogfooding the product internally. His software program engineers are usually not allowed to jot down inside instruments; they will solely construct the product. So his enterprise people have constructed brokers for all their wants, like one which makes use of CRM information to determine leads, one which tracks help metrics, one other that stability the assignments of the human gross sales engineers.
“That is mainly a approach for us to construct the instruments and never purchase the instruments,” he sais.
