AI Workflow Prototypes
Explore how AI could actually fit into your team's workflow instead of adding another disconnected chatbot.
Rapid Prototyping
Make It Real
Enough to Learn.
The Prototype Before the Project.
Before committing months of development, turn the idea into something people can actually experience, evaluate and react to.
Bowler Hat builds rapid prototypes across AI, interactive products, creative technology, games, realtime 3D, spatial/XR and emerging technology. The goal isn't to pretend the prototype is the finished product. The goal is to answer the questions that determine whether the product should exist.
fig. 01 — v0.3
What rapid prototyping means here
A prototype isn't an early version of the product.
It's something we build to answer a question.
At Bowler Hat, rapid prototyping is a core capability — not a standalone service. We make ideas tangible enough to experience, evaluate and react to before anyone commits to a full build.
Where teams get stuck
- 01
The idea is difficult to explain.
- 02
Nobody knows what the first version should actually be.
- 03
Engineering is too expensive to engage for an experiment.
- 04
Traditional presentations don't prove whether an idea works.
- 05
Teams debate possibilities instead of interacting with them.
- 06
AI initiatives get stuck at "we should do something with AI."
annotation
Before you build the project, build enough of the idea to learn from it.
What we prototype
AI, interactive products, creative tech, games, XR and emerging ideas.
Prototypes can be anything that makes the question answerable — a workflow, an interface, an interaction, a spatial concept, or a working slice of a larger idea.
Interactive Product Concepts
Turn a product or platform idea into something stakeholders can interact with.
Creative Technology
Prototype experiences that combine design, technology, storytelling and interaction.
Game + Experience Prototypes
Explore mechanics, interaction and feel before building production systems.
Spatial + XR
Explore immersive ideas before committing to expensive production.
Emerging Technology Experiments
When the technology is changing faster than your organization can evaluate it, build an experiment.
How prototyping happens
It can start in a sprint, the lab, or a build.
A Thinking Cap Sprint asks “what should we do?”, prototyping asks “will this work?”, and build asks “how do we make it real?” They connect, but each path stands on its own — you don't have to buy all three, and you can enter at any stage.
Thinking Cap Sprint
Answers "what should we do?" — find the opportunity first, then prototype to test it.
Standalone Prototype
A targeted, fast experiment designed to answer one specific question.
Innovation Lab
Open-ended exploration of emerging ideas, tools and capabilities.
Build Engagement
The first phase of a larger production effort, grounded in something you can test.
How we work together
Three questions. Enter wherever you are.
Thinking Cap Sprint, rapid prototyping and build connect naturally — but they aren't a mandatory package. Most clients start in the middle.
- 01
Thinking Cap Sprint
What should we do?
Find the opportunity.
A 10-day innovation sprint that turns an open question into a clear, evaluated direction.
- 02
Rapid Prototyping
Will this work?
Test the opportunity.
Make an idea real enough to learn from, then decide: build it, change it, or kill it.
- 03
Build
How do we make it real?
Pursue the opportunity.
Take a validated direction into production with the people who prototyped it.
Start anywhere
You don't have to run the whole thing.
“We already know what we want to test.”
Start with a prototype.
“We know we need to innovate, but not where.”
Start with a Thinking Cap Sprint.
“We've already validated the concept.”
Talk to us about Build.
How a prototype sprint runs
From question to tangible answer.
A sprint compresses the most useful part of creative experimentation: making something real enough to learn from.
- 01
Discover
Understand the problem.
- 02
Define
Identify what we need to learn.
- 03
Make
Build the smallest useful experiment.
- 04
Try
Put it in front of people.
- 05
Learn
Observe what actually happens.
- 06
Decide
Build it. Change it. Or kill it.
Make → Try → Learn loops back when needed
We don't prototype to prove we were right.
We prototype to find out.
Possible outputs
What a prototype can produce
The output depends on the question we're trying to answer. Some prototypes end in working software; others end in a demonstration, a visualization, or a clear recommendation about direction.
- 01Interactive prototype
- 02AI workflow proof-of-concept
- 03Internal tool concept
- 04Clickable application
- 05Realtime 3D experience
- 06Spatial/XR prototype
- 07Creative technology experiment
- 08Production workflow prototype
- 09Technical feasibility demonstration
- 10Concept visualization
- 11Stakeholder demo
- 12Product direction recommendation
Studio experiments
Experiments become evidence.
exp. 01
Case study 01
AI Art Direction
Question
Can a company's creative standards become an intelligent review system?
Concept
A design bible becomes the source of truth for an AI-assisted art review tool that evaluates submitted work and gives creators actionable feedback before formal art-director review.
AI + Creative WorkflowKnowledge SystemsVisual ReviewHuman-in-the-Loop AI
exp. 02
Case study 02
Inkwell
Question
What happens when AI interviews the creator instead of waiting for prompts?
Concept
A local AI writing environment designed around conversation, questioning and creative development rather than a traditional chatbot interface.
Local AICreative ToolsHuman-AI InteractionProduct Prototyping
exp. 03
Case study 03
Prototype Forge
Question
Can complex AI systems be designed visually?
Concept
A node-based environment for designing AI workflows — connecting models, tools, data and behaviors while an embedded local AI assistant helps the creator construct the system.
AI Workflow DesignVisual SystemsLocal ModelsRapid Product Development
Why prototype first
Two ways to answer the same question.
Traditional approach
- Idea
- Meetings
- Requirements
- Budget
- Development
- Months later…
- "Is this actually what we wanted?"
versus
Prototype first
- Idea
- Prototype
- Try It
- Learn
- Decide
Reduce uncertainty before increasing investment.
Who it's for
Built for the people who have to decide.
01
Innovation Teams
You need to move faster than the approval cycle allows.
02
AI Leadership
You need practical experiments, not another strategy deck.
03
Creative + Production Leadership
You need to prove a workflow before rolling it out.
04
Experience + Emerging Tech Teams
You need something people can actually stand in front of.
05
Executives
You need to see the idea before funding the idea.
Who you work with
Joshua Opel
Creative Technical Director
A prototype sprint is run directly by the person building it — no handoffs, no account layer, no discovery theater. The goal is always the same: get the idea into a form your team can react to.
- Leads creative technology and AI prototyping at Bowler Hat Studio.
- Background spanning 3D, interactive systems, XR and production pipelines.
- Builds working prototypes, not just decks.
- Works directly with the teams who own the problem.
Start here
Have an idea your team can't quite make real?
Bring us the messy version. Tell us the question and we'll come back with what we'd prototype first.
Short intake · no deck required