Research Pipeline: From Question to Report

Research

OpenClaw’s web search and fetch capabilities make it a capable research assistant. But the value isn’t in answering simple questions — it’s in building repeatable pipelines that transform raw web content into structured knowledge.

The Basic Pipeline

Search → Fetch → Extract → Synthesize → Deliver

This sounds simple, but each step has nuance that determines output quality.

OpenClaw uses DuckDuckGo via web search — no API key required. The web_search tool returns AI-synthesized answers with citations, not just raw URLs.

For a query like “Raspberry Pi local LLM inference 2026”, you get:

  • Top results ranked by relevance
  • Direct answers extracted from pages
  • Citations for verification

You can filter by date (newer results only), language, and count (1-10 results).

Step 2: Fetch and Extract

Raw search results aren’t enough. web_fetch pulls the actual content from URLs, stripping ads and navigation to return clean markdown or plain text.

Key capability: it handles most sites well, including:

  • Documentation sites
  • Blog posts
  • News articles
  • GitHub READMEs

Limitation: JavaScript-rendered pages (React/Next.js apps without SSR) may return empty results.

Step 3: Synthesis

This is where the LLM reasoning matters. Synthesis isn’t just summarizing — it’s:

  1. Comparing sources — finding where multiple sources agree or conflict
  2. Evaluating claims — flagging confidence levels, noting potential bias
  3. Building narrative — structuring a bottom-line-first answer with supporting detail
  4. Citing properly — attributing claims to specific sources

Step 4: Delivery

Research is only valuable if it reaches the right person in the right format. OpenClaw can:

  • Write a memo (400-600 words, executive summary style)
  • Generate a full report with sections
  • Create an RSS-ready article
  • Output structured data (JSON for downstream processing)

Example Output Structure

For a technical research query, something like:

  1. Bottom Line — One sentence answering the core question
  2. Key Findings — 3-5 bullet points of the most important discoveries
  3. Tradeoffs — Honest assessment of limitations or competing options
  4. Sources — Linked references with brief notes on each
  5. Confidence — Explicit statement on how certain the synthesis is

When It Breaks

  • Outdated information — LLMs have training cutoffs; web search supplements but synthesis may hallucinate details not in the sources
  • Paywalled content — can’t fetch what’s behind a login
  • Conflicting sources — sometimes the “right” answer is “it depends” and synthesis has to convey that honestly

The pipeline doesn’t eliminate the need for human judgment — it eliminates the tedium of initial information gathering.