Pre-test an announcement before you hit publish
Price changes, policy updates, layoffs, and rebrands all get judged in the first few hours. MiroShark gives comms teams a dry run: hand it the announcement, and a cast of grounded personas playing customers, reporters, and competitors reads it, reacts, and argues about it before a single real reader does.
Because the agents remember what they have seen and update their views round by round, you see more than a first impression. You see whether the backlash builds or burns out, which line in your announcement gets quoted back at you, and whether a rival jumps in.
Who it is for
- PR and comms teams drafting a sensitive announcement.
- Pricing and product teams about to change a plan or a price.
- Founders who want a second opinion on wording before it goes out.
- Agencies that want a quick read to bring to a client review.
What you put in
One seed: a prompt, an article URL, or pasted text. Here is the example this page is built on. It opens prefilled in the run panel, ready to edit.
We are announcing a 20% price increase on all Pro plans, effective next month. Simulate how customers, tech press, and competitors react over the first 48 hours.
Will the announcement trigger a sustained public backlash?
The cast it builds
MiroShark pulls the people, groups, and claims in your seed into a knowledge graph and casts grounded personas from it, each with its own beliefs, incentives, and posting style. For this seed, expect:
- Existing customers on the affected plan
- Prospects weighing alternatives
- Tech press and industry analysts
- Competitors and their supporters
What you get back
Each run puts about 20 grounded AI agents (most runs use 10 to 40) through 10 rounds of a Twitter-like feed, a Reddit-like forum, and a Polymarket-style prediction market, then hands you:
- A cited markdown report written by a report agent that reads the simulated feed and market first, so every claim points back to a real post or trade from the run.
- Belief drift: how each group's stance moved round by round as the story developed.
- The top posts that carried the conversation on the simulated Twitter and Reddit.
- The prediction market trajectory: where the crowd priced the central question, and when it moved.
- A knowledge-graph view of the people, organizations, and claims MiroShark pulled from your seed.
- A public share page with a recap card that unfurls on X, Discord, Slack, and iMessage.
What to read for this job
- The lines from your announcement that get quoted, mocked, or defended.
- Whether the reaction keeps building or settles after the first rounds.
- Which groups threaten to leave, and which posts change their minds.
- Where the prediction market lands on the backlash question.
How to run it
- Open the run panel. Start from this example or open /sim with a blank prompt.
- Write the seed. A few tips for this job:
- Paste the actual announcement text so the agents react to your exact words.
- State the change plainly, for example the size of a price increase and when it starts.
- Name the audiences you care about and the window, such as the first 48 hours.
- Pin the market if you have a question. MiroShark writes a sharp, resolvable market question for you by default. Pin your own to track the exact outcome you care about.
- Pay and follow the run. A flat $1 USDC per run on Base, Solana, or Monad, with no subscription and no gas to hold. The report lands in about 10 minutes.
- Or run it from code. Agents and scripts can start the same run through the paid x402 API with no account or API key. See the x402 guide and the docs for how the pipeline works.
Questions
Yes. Run each draft as its own seed and compare the reports. Each costs $1 and the cited posts show which phrasing drew the strongest response.
MiroShark reads your seed and builds a knowledge graph of the people, groups, and claims in it, then casts grounded personas from that graph, each with its own beliefs, incentives, and posting style. Agents that are not named figures inherit realistic demographics from a population sample.
No. Everything happens on a simulated Twitter, a simulated Reddit, and a simulated prediction market. The finished report gets its own share page, which you can choose to pass around.