MARKET RESEARCH

Monthly Competitive Landscape Brief to Coda

Once a month, aggregates leaderboard movement plus web research into a structured competitive landscape brief and writes it as a formatted Coda doc the team can read and edit.

CategoryMarket Research
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerMonthly schedule
  • ActionPull full leaderboard with metricsHugging FaceHugging Face
  • ActionResearch leading labs and modelsBraveBrave Search
  • LogicOrganize findings into landscape sections
  • ActionDraft structured competitive briefOpenAI
  • OutputPublish brief as Coda pageCodaCoda

What it does

This workflow builds a polished monthly competitive landscape brief on the open-model ecosystem. It combines the month's leaderboard shifts with targeted web research on the leading labs, then drafts a structured narrative — top movers, emerging contenders, capability themes, and recommended models to evaluate — and publishes it as a Coda page formatted for easy reading and team annotation.

When to use it

Use it for recurring stakeholder reporting where a Slack ping is too thin. Good for strategy reviews, board updates, or research-team planning cycles that need a durable, editable document rather than a chat message.

How it works

  1. 1A monthly schedule starts the run.
  2. 2HuggingFace supplies the full leaderboard with the month's metrics.
  3. 3Brave Search pulls recent coverage on the leading models and labs.
  4. 4A logic step organizes findings into landscape sections.
  5. 5OpenAI drafts the full structured brief with headings and a recommendations list.
  6. 6Coda publishes it as a new formatted page in the research workspace.

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 OpenAIModels, embeddings, files.
  4. 4
    Connect CodaDocs, packs, automations.
  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.

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