Make the visual about who it’s for.

Ask anyone who builds materials for a session what makes a visual land, and they rarely point to the layout. They point to who is in it. A choice board works because the person recognizes themselves in it. A social story sticks because the character on the page feels familiar, like someone they already know.

That is what characters are for in Wheva. They are not decoration. They are the part of the visual a person connects to, and the part that carries from one material to the next. This guide is about making that character yours: keeping it consistent, and changing it in seconds when a session calls for something new.

See it in action

In this short demo we start with Ash, one of our characters, wearing a white shirt and jeans. We ask the Wheva AI agent to dress her in a blue princess dress. That is the whole interaction: describe the change in plain words, and the character is restyled while everything else about her stays the same.

Why a familiar character helps

There is good reason to build a visual around something a child already knows and likes, and it is not just a hunch.

A peer-reviewed review of the research on teaching children on the autism spectrum looked at decades of studies and found that bringing a child’s strong interests into the materials supported their engagement and learning. As the authors put it, “positive gains in learning and social skills can be achieved by incorporating children’s restricted interests into classroom practice.” ¹

The kinds of materials a character lives in are themselves well studied. A comprehensive review of interventions for children, youth, and young adults on the autism spectrum identified visual supports and social narratives among the practices with enough evidence behind them to be called evidence-based. ² Our job is simply to make those formats faster to produce, and a character is what carries through them.

We want to be careful here, because we are not a research organization and we are not making a clinical claim about any individual. What the evidence points to is simpler and more useful: materials built around what a child connects with tend to hold their attention better. A consistent, recognizable character is one practical way to do that. The professional always decides what fits the person in front of them.

Consistency is the quiet superpower

The reason a familiar character works is that it shows up the same way every time. The same Ash who waves hello on a greeting card is the same Ash who brushes her teeth in the morning routine and the same Ash who appears in a calm-down story. The child is not relearning a new face on every page. They are following someone they recognize.

That consistency is hard to keep by hand. Drawn fresh each time, or pulled from scattered clip art, a character drifts. In Wheva the character stays the same across every visual and every story, so the through-line a child relies on stays intact.

Personalize in plain language

Keeping a character consistent does not mean keeping it frozen. A child might respond to a character who looks a little more like them, or who is dressed for the moment you are teaching: a coat for going outside, pajamas for the bedtime routine, a princess dress for a child who loves princesses.

Inside Studio you make that change by describing it. Select the character, tell the Wheva AI agent what you want (“dress her in a blue princess dress”), and the agent restyles the character while keeping it recognizably the same. No menus full of options to dig through, no design skills required. You describe the moment in the words you would use anyway, and you keep the result that fits.

Use the same character for visuals and stories

A personalized character is not tied to one kind of material. Once you have a character that works for a child, you can use it everywhere Wheva builds visuals:

Visuals. Choice boards, first-then cards, schedules, and cue cards, all featuring the same familiar character so the set feels like one set.
Stories. Social stories and routine narratives where the character moves through the steps, modeling the moment you are preparing the child for.

That modeling angle has research behind it too: a meta-analysis of video modeling and video self-modeling found these approaches effective for teaching social, communication, and functional skills, with results that held over time and carried across settings. ³ A consistent character is what lets the same familiar figure do that modeling across every material.

Because it is the same character throughout, a child meets a consistent companion across their materials rather than a different stranger on every page. That continuity is exactly what makes the materials easier to follow.

How simple it is

The whole point is that this takes seconds, not an evening:

Open Studio and start from a template or a blank canvas.
Add a character, or use one you already have.
Select it and tell the Wheva AI agent the change you want, in plain language.
Keep the result and drop it into the visual or story you are building.

That is it. The personalization that used to mean redrawing or hunting for the right image is now one sentence to the agent.

Built the way you already work

Personalizing characters follows the same rule as everything we build: if it adds friction for clinicians, we rethink it. Your materials, and the client information connected to them, stay protected with role-based access and encrypted storage. We do not sell client data, and we do not use client records to train any external AI model. Your work belongs to you and your organization. Always.

Try it today

Open Studio, add a character, and ask the Wheva AI agent to dress or restyle it for the session you are preparing. Then reuse that same character across your visuals and stories, so the child sees a familiar face every time.

We would love to see what you build, and what you wish it did next. Reach us any time at hello@wheva.com.

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Gunn, K. C. M., & Delafield-Butt, J. T. (2016). Teaching Children With Autism Spectrum Disorder With Restricted Interests: A Review of Evidence for Best Practice. Review of Educational Research, 86(2), 408 to 430. https://doi.org/10.3102/0034654315604027 ↩
Wong, C., Odom, S. L., Hume, K. A., Cox, A. W., Fettig, A., Kucharczyk, S., Brock, M. E., Plavnick, J. B., Fleury, V. P., & Schultz, T. R. (2015). Evidence-Based Practices for Children, Youth, and Young Adults With Autism Spectrum Disorder: A Comprehensive Review. Journal of Autism and Developmental Disorders, 45(7), 1951 to 1966. https://doi.org/10.1007/s10803-014-2351-z ↩
Bellini, S., & Akullian, J. (2007). A Meta-Analysis of Video Modeling and Video Self-Modeling Interventions for Children and Adolescents With Autism Spectrum Disorders. Exceptional Children, 73(3), 264 to 287. https://doi.org/10.1177/001440290707300301 ↩