Automate web research and get ranked AI insights

The system searches the web, filters for quality, and hands you the top insights on any research topic.

How the work actually flows

It branches. Exactly one path is taken; all paths must finish before it continues; runs once per each scraped article.

Pattern: Exclusive Choice (4) · Multiple Instances without Synchronization (12) · Synchronisation (3)

flowchart TD trig(("user submits research question")):::human s0["scrape matching web pages"]:::svc s1[["check each article's quality"]]:::mi s2["rank top three insights"]:::task trig --> s0 s0 -->|"one per each scraped article"| s1 gx{"× does the article pass quality check"}:::gate s1 --> gx p00["summarize and extract claims"]:::task gx -->|"qualifying article"| p00 p10["discard article"]:::task gx -->|"low quality article"| p10 jn{"+ all summaries ready"}:::gate p00 --> jn p10 --> jn jn --> s2 out[/"ranked list of top insights"/]:::out pay{{"hours of manual research saved"}}:::pay s2 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
A stepAn outside serviceRuns once per itemA personOne path onlyWaits for allResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
AI Agents & Autonomous SystemsKnowledge Base & RAGReporting & AnalyticsResearch & Market Intelligence
Connects
OpenAIAnthropic ClaudeApifyQdrant

The problem it solves

Manually searching, reading, and summarizing articles for competitive or market research eats up whole afternoons. It is also easy to lose track of what you have already reviewed and end up covering the same ground twice.

Who it fits

Analysts, marketers, or founders who need quick, sourced answers to research questions.

How it works

  1. You submit a research question
  2. The system turns it into targeted search queries and scrapes matching web pages
  3. AI checks each article for relevance and quality before processing it further
  4. Qualifying articles are summarized and their key claims extracted in parallel
  5. The top three most valuable insights are ranked and delivered, with everything saved to avoid repeat work
What you get

Research insights ranked and ready to use

You get web research turned into the top three ranked insights on any topic you ask about, fully sourced.

What you get

A ranked summary of the most relevant, high-quality findings on your research topic.

What you need

An OpenAI API key, an Anthropic API key, a web scraping account, and a vector database such as Qdrant.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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