🤖 AI Products · $20/mo

Can I vibe code Perplexity?

AI answer engine that searches the web and cites its sources.

🔴Not reallyest. a weekend (for the wrapper)

The recipe looks copyable — run a web search, feed the top results to an LLM, and ask it to answer with citations — and you can genuinely build a working version of that in a weekend. What you cannot reproduce is what makes Perplexity actually good: a fresh, broad search index (or expensive search-API access), retrieval and ranking tuned so the model cites the right passages, and answer latency kept low at scale. The wrapper is the easy 20%; the model plus the search-and-ranking engine behind it is the product, and that is infrastructure and tuning you do not vibe-code.

The one-shot prompt
Build a personal answer engine like Perplexity that searches the web and cites sources. On a query, call a search API (such as Brave Search, Bing, or SerpAPI) to get the top results, fetch and extract the main text of the top few pages, then pass those passages to the Claude API and ask it to write a concise answer with numbered inline citations linking back to each source. Stream the answer, show the source cards, and support follow-up questions that keep prior context. Use Next.js App Router with keys server-side, and note in the README that the model is rented and the search index is a third-party API — Perplexity's real moat is owning a fresh index and tuning the ranking, which is out of scope here.
Paste into Claude Code, Codex, or your agent of choice — then steer. Learn the moves in Prompt Engineering.
What you build

An answer engine that runs a web search, passes the results to an LLM, and returns a synthesized answer with inline source citations.

What you give up
  • A fresh, broad search index instead of metered third-party search calls
  • Retrieval and ranking tuned so citations are actually relevant
  • Low latency and reliability at scale
  • Follow-up threads, focus modes, and the polished answer formatting
Why people still pay

The value is a fast, trustworthy answer with citations you can check — which depends on both a frontier model and a well-tuned search-and-rank pipeline over a fresh index. You can rent the model, but the freshness, ranking, and speed are the ongoing engineering people pay for.

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Actually build it

A prompt is the first move, not the whole game. Course 01 teaches you to take a prompt like this one to a shipped, working app — reviewing, correcting, and steering the agent the whole way.

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