MARKET RESEARCH

Hugging Face weekly dataset-landscape research brief

Once a week the CEO agent surveys the week's new Hugging Face datasets in your domain, cross-references trends with web research, writes an analyst-style landscape brief.

CategoryMarket Research
Enginepaperclip
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule starts agent
  • ActionQuery week's new and trending domain datasetsHugging FaceHugging Face
  • ActionWeb research for themes and contextBraveBrave Search
  • LogicAgent clusters by topic and drafts brief
  • OutputPublish landscape brief to ConfluenceConfluenceConfluence
  • OutputPost Slack summary with linkSlack

What it does

Produces a weekly written brief on how the open-dataset landscape in your research domain is shifting. The CEO agent gathers the week's new and trending Hugging Face datasets, uses web research to spot themes (new benchmarks, emerging modalities, notable labs), and synthesizes an analyst-style narrative rather than a raw list, then publishes it for the whole team.

When to use it

Use it when leadership or a research org wants a reasoned weekly read on dataset trends, what's gaining traction and what it implies, not just a feed of links.

How it works

  1. 1A weekly schedule starts the agent run.
  2. 2The agent queries Hugging Face for datasets created or trending in your domain over the past week.
  3. 3It runs Brave web searches to find context and identify cross-cutting themes.
  4. 4The agent reasons over the set, clustering by topic and flagging standouts.
  5. 5It drafts a structured landscape brief with sections and takeaways.
  6. 6An output publishes the brief to a Confluence page.
  7. 7A final output posts a short Slack summary linking the full page.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect Hugging FaceModels, datasets, spaces — the open-source hub.
  2. 2
    Connect Brave SearchWeb, news, image, video search.
  3. 3
    Connect ConfluenceSpaces, pages, blueprints.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

14-day trial. No DevOps. No Sales call. Provisioned in under a minute.