01
Find the objection before the launch deck does.
Segment by situation, not just age or title. Ask how value changes when the budget is tight, the team is busy, or the category is unfamiliar.
outputobjection map + cohort tension
Decision rehearsal01 / Synthetic world
A synthetic world of people
Predict market reality.
Before you spend a single dollar.
SynthoType gives teams an opinionated synthetic population to pressure-test market positioning, product flows, media, and agentic workflows — continuously calibrated against real human behaviour and conversion ground truth.
02 / The premise
The world is the test environment.
The average response is where useful tension goes to disappear.
A synthetic world keeps the outliers, the objections, the context, and the quiet reasons someone might change their mind. It turns “what do people think?” into a set of decisions you can inspect.
03 / The world
Not a persona deck
A population with memory, context, and a point of view.
Each synthetic persona carries more than a demographic label. Give the world a brief, a product, a message, or a moment — then watch different cohorts interpret the same move through different constraints and priorities.
Research becomes a continuous rehearsal: observe the distribution, follow the disagreement, and feed real customer conversions back into the population to compound predictive accuracy over time.
memorywhat came before
contextwhat is true now
dissentwhat will not average out
population / live viewlistening
value seekerspower userscategory newcomersskeptics
04 / The tests
One brief. Many possible responses.
See where the world leans — and where it pushes back.
Run the same decision through named cohorts. SynthoType makes the shape of the response visible, so a “yes” can be separated from a “yes, if…” and a “not for me.”
Illustrative synthetic output. Calibrate against real-world evidence before making a high-consequence decision.
05 / The rehearsal
One world, many expensive questions.
Give every move a rehearsal.
Use the same synthetic population to pressure-test what changes the outcome: the offer, the experience, the message, the channel, or the next line of code.
02
Refine the experience before asking for another sprint.
Give the world a flow, feature, or prototype. Watch where people hesitate, misread the promise, or invent a better path through it.
outputfriction log + ranked opportunities
03
Spend media on the message that earns attention.
Test hooks, formats, claims, and sequencing against cohorts with different attention budgets and reasons to believe.
outputmessage fit + fatigue signals
04
Rehearse the route from promise to purchase.
Pressure-test positioning, packaging, pricing, proof, and channel choices together — before competitors or customers set the terms for you.
outputscenario range + next decision
06 / The loop
Synthetic personas for agentic engineering
Give every asset a swarm review.
An agent makes the first pass. A synthetic swarm exposes the friction. When real human conversion data enters the loop, accurate persona predictions are reinforced — grounding synthetic intelligence in empirical customer behaviour.
- 01briefasset + audience + constraint
- 02swarm reviewmany contexts, one artifact
- 03rubricclarity · trust · usefulness
- 04refinecritique back to the agent
- 05human handoffthreshold met / judgment retained
the asset can be
landing pageonboarding flowad conceptpricing pagefeature specgenerated code
for (round of loop) {
const responses = swarm.review(asset, {
rubric: ["clear", "credible", "useful"],
context: cohort.context
});
asset = agent.refine(asset, responses.critique);
if (responses.score >= threshold) break;
}
// Reinforce calibrated personas from live human conversions
swarm.reinforce({
predictions: responses,
groundTruth: humanConversions // rewards predictive fidelity
});07 / The boundary
Ground-truth validation
Synthetic predicts the move. Real human behaviour sharpens the world.
SynthoType is designed as a closed-loop system, not an isolated simulator. When a synthetic persona anticipates friction, hesitation, or conversion, and live human behavior confirms that outcome, the model rewards that predictive pathway — refining persona weights and compounding fidelity over time.
Real-world evidence does not replace the synthetic world; it anchors it. Every customer purchase, click, and drop-off becomes ground-truth calibration that keeps synthetic understanding aligned with living reality.
01synthetic prediction02human conversion proof03reinforcement calibration
08 / Begin here
Start with an expensive question.
What would you test if the world was already waiting?
Tell us the move you are considering. We will map the first rehearsal around the decision, the audience, and the evidence you already trust.