Product Copilots & Assistants
Chat-first or embedded assistants that help users inside your product, not just a marketing-site widget.
↗Services · AI Experiences
Make intelligencefeel like part ofthe product.
We design and build AI-native interfaces, assistants, and prototypes — the parts of your product that make "we use AI" feel true instead of like a landing-page claim.
01What we build
One capability,
every surface intelligence touches.
An "AI experience" isn't one chatbot bolted onto a homepage — it's wherever a model can make your product faster, clearer, or more capable, designed with the same care as everything else you ship.
AI-Powered Prototypes
Clickable, presentation-ready AI concepts for fundraising, sales, or internal buy-in before engineering commits.
↗Generative & Personalized Interfaces
UI that adapts its content, layout, or recommendations per user — powered by a model instead of hardcoded rules.
↗Workflow Automations
Internal tools that remove repetitive work from your team's day, wired into the tools you already use.
↗AI Onboarding & Docs Experiences
Interactive walkthroughs that explain a complex AI feature in plain language, not a changelog entry.
↗Model Evaluation & Prompt Systems
The scaffolding — prompts, evals, guardrails — that keeps an AI feature reliable after launch, not just impressive in a demo.
↗02How we build it
Story and system first.
Model second.
Every AI experience follows the same intensive we use across every engagement — structure the use case, design the interaction, then build. It's why the feature holds together instead of feeling bolted on.
- 01Week 1 · Discovery→
Structure
Which workflows are painful enough to automate, which decisions a model can actually make well, and where a human still needs the final call.
- Workflow and use-case audit
- Model and interaction feasibility check
- Scoped feature spec
- 02Week 1 · Direction→
Direction
A working prototype of the interaction — how it looks, what it says, how it fails gracefully — before a single line of production code.
- Conversation and interaction design
- Clickable AI prototype
- Failure-state and fallback design
- 03Week 2 · Build
Build
A production-ready feature wired into your product, or a standalone tool your team runs from day one.
- Model integration and evaluation harness
- Guardrails and abuse handling
- Handover docs your engineers can run with
03What's included
Built to demo well.
Built to hold up after.
No mystery line items, no feature that only works in the pitch deck. Everything below ships as part of the sprint — tap a line to see why it's there.
A chatbot that just answers isn't a product. We design the moments it needs to ask, confirm, or say no.
The words a model uses shape trust more than the model itself does.
What happens when the model is wrong, slow, or unsure — designed, not left to a generic error message.
Something you can put in front of a board or investor that behaves like the real thing.
04Client work
Where story and build
have already met.
Five partners, five different problems — drag or scroll through to see how the same process bent to fit each one.
05Where else it extends
The system doesn't stop
at the feature.
06Client stories
“Marina and Ben delivered a creative, fast rebranding with amazing energy and a can-do attitude.”
LCUGK
07FAQ
Before you
book a call.
Every engagement is scoped and quoted after a first call — flat fee, not hourly, with a defined number of revision rounds built in. We'll give you a real number before you commit to anything, based on scope and how well-defined the use case already is.
Both, depending on scope. We can hand off a fully designed, prototyped spec for your engineers to build, or build well-scoped, self-contained tools ourselves. For deep product-core AI infrastructure, we'll tell you honestly if you need a specialized ML team instead.
Whichever fits — Claude, GPT, or your own fine-tuned model. We're not tied to one vendor, and we'll recommend the one that fits your cost, latency, and reliability needs.
Only if a chatbot is the right interface. Often it isn't — a lot of what looks like “add AI” works better as a smart default, an inline suggestion, or an automation nobody has to talk to.
Yes — like everything else we build, it's yours once the project is paid in full.
Web Experiences is your public-facing site. AI Experiences is what happens inside your product or workflow — often the two ship together, since a site with an AI-personalized homepage and a product with an AI copilot are the same underlying system.
Ready to make AI
part of the product?
Book a call and we'll tell you honestly what it'll take.
Book a call→