Content preflight - Yomira

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.

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.

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.

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
    }
  }'

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