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Documentation Index

Fetch the complete documentation index at: https://docs.tryyomira.com/llms.txt

Use this file to discover all available pages before exploring further.

Use this before publishing content that needs to produce a reaction: trust, curiosity, reply, signup, purchase, share, or internal approval. Yomira works best when the artifact is concrete. Do not simulate an abstract strategy if the real decision is whether to publish a specific post or page.

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What to include

  • The exact content.
  • Where it will be published.
  • Who is likely to see it first.
  • What they already know about you or the company.
  • What action matters.
  • What backlash, confusion, or skepticism would hurt.

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Prompt for an AI agent

Use Yomira to run a content preflight.

Artifact:
"""
Paste the post, ad, article, landing page, video script, or email here.
"""

Channel:

Audience:

Desired reaction:

Known concerns:

Return the distribution of reactions, raw voices, decision implications, and concrete changes before publishing.

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Example request

curl -s -X POST "https://tryyomira.com/api/simulate" \
  -H "content-type: application/json" \
  -H "x-api-key: $YOMIRA_API_KEY" \
  -d '{
    "objective": "Decide whether this launch post should be published as-is.",
    "artifact": {
      "type": "x_post",
      "content": "Paste the exact post here."
    },
    "audience": {
      "description": "AI builders, agency owners, indie founders, and early users who follow product launches on X."
    },
    "simulation": {
      "mode": "fast",
      "target_n": 80,
      "max_agent_voices": 16,
      "max_output_tokens": 40000
    }
  }'

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What to do with the result

Do not optimize for the average reaction only. Look for:
  • high-intent minority reactions
  • trust-break comments
  • confusion clusters
  • people who would reply or buy
  • people who like the idea but do nothing