Practical Research & Automation Workflows

16 entries shown

1. 1Gemini Deep Research

   Tool · Effort: Low

   Verdict: Good for first-pass market, competitor and technical landscape research. It browses many sources and writes a structured report. Always check the cited sources before you act on a claim.

2. 2Perplexity API Platform

   Tool · Effort: Medium

   Verdict: If your app or agent needs fresh web answers with citations, the Perplexity API is a quick way to get them without building search yourself. Good for research features and agent tools.

3. 3Open Deep Research (LangChain)

   Tool · Effort: High

   Verdict: The best starting point if you want your own deep-research agent with your choice of models and search tools. Expect to tune prompts and costs. Not a consumer product.

4. 4GPT Researcher

   Tool · Effort: Medium

   Verdict: A well-known open-source research agent that's easy to run and works with many providers. Great for generating sourced report drafts in bulk. Review before publishing.

5. 5Firecrawl

   Tool · Effort: Low

   Verdict: One of the fastest ways to give an agent reliable web data: scrape, crawl, and extract structured fields. Hosted or open source. Respect site terms and robots rules.

6. 6Crawl4AI

   Tool · Effort: Medium

   Verdict: The self-hosted alternative for web-to-markdown. Free to run, Python-native and flexible. You handle the infrastructure, proxies and rate limits.

7. 7MarkItDown: convert docs to Markdown for LLMs

   Tool · Effort: Low

   Verdict: A tiny, practical utility. If you feed documents to models, converting them to Markdown first is a cheap quality win. Also available as an MCP server.

8. 8Gemini Notebook

   Tool · Effort: Low

   Verdict: Best when you already have the material (papers, docs, transcripts) and need to understand it fast. Answers stay grounded in your sources, which reduces made-up facts.

9. 9n8n

   Tool · Effort: Medium

   Verdict: The builder's automation platform: visual when you want it, code when you need it, and self-hostable. Strong AI agent and MCP support. Steeper than Zapier, more flexible too.

10. 10Start from n8n community workflow templates

    Use case · Effort: Low

    Verdict: Don't build automations from scratch. The n8n template library covers most common AI workflows; start there and adapt. Read each template before running it with real credentials.

11. 11Weekly competitor digest with n8n + Firecrawl

    Use case · Effort: Medium

    Verdict: A high-leverage afternoon project. You stop manually checking competitor pricing and changelogs, and get one email with what changed. Keep the source list small and stable.

12. 12Zapier Agents

    Tool · Effort: Low

    Verdict: The easiest path to an AI agent that touches your real business apps, especially if you already use Zapier. Less control than code, but very fast to set up for non-developers.

13. 13Make AI Agents

    Tool · Effort: Medium

    Verdict: A good fit if you already build scenarios in Make. Agents add reasoning steps to visual automations. Keep prompts and tool lists tight to stay predictable.

14. 14Make MCP Server: call your scenarios from any AI client

    Use case · Effort: Medium

    Verdict: A neat bridge: build the integration once in Make, then let any MCP-capable assistant trigger it. Ideal when non-developers own the automations and developers own the agents.

15. 15Raycast AI

    Tool · Effort: Low

    Verdict: Great for small, frequent tasks: rewrite, summarise, quick lookups and AI commands bound to hotkeys. Less about big agents, more about shaving seconds off everything.

16. 16Turn a docs site into agent context

    Use case · Effort: Low

    Verdict: Agents hallucinate APIs they don't know. Giving them the current docs as local Markdown is a simple fix. Refresh when the library version changes.