AI built into your product's DNA

[For founders who won’t sacrifice integrity for hype —
yet are looking for an edge to unlock their next growth stage.]

You've founded a values-led startup — post-MVP and ready to turn early traction into repeatable growth. The real challenge: making your product sticky so users return — and stand out in the market.

I design AI layers that are native to your product. They understand your users, their context, and where they are in the flow. They reduce friction, personalize the UX and surface the right insights — so your users succeed in your product, keep returning, and drive the retention and growth you need.

The architect

[The intelligence is already there — I give it form.]

[About me.]

I’m Stephan Singh Ryatt — a 2x founder shaping AI-native products for startups dedicated to serving humanity and the Earth.

I've co-founded Copalana, where I built and scaled a social impact platform and an AI-powered storytelling app for nonprofits. I've also co-founded Uranian, an AI x Astrology startup delivering a first-of-its-kind personalized guidance engine. I've also built and helped launch Pathfinder Pro, a psychographic study program recommender for aspiring students.

These experiences taught me that creating a cohesive product requires a commitment to putting the user, your ethics and the long game first.

Too many teams are racing to slap AI onto their product, to show investors and users that they're 'AI-enabled', ahead of the game and different. This leads to AI features that are gimmicky and feel disconnected from the product: Generic chatbots, AI copywriter & summarization fields and magic 'personalization' buttons.

The result ends up being the opposite of what was intended: eroded user trust, poor retention impact and technical debt.

I help you cut through this pressure, by building AI layers that become a natural part of your product and built for the user. I do this by critically assessing how AI can create actual leverage, embedding it deeply in your flows and giving it access to the relevant user context.

Simply put, I help your product think with the user — making them succeed inside your product and come back more often — leading to better retention and sustainable growth for your startup.

Let’s architect the intelligence your product is ready for.

Book a free AI clarity call

The service

[How I can help you take your product to the next level.

[Workshop]

AI Strategy Development

Clarity before code.

I run two focused sessions with you and your team to uncover where AI can create real leverage in you product, to support your next stage of growth. You receive an AI strategy doc that prioritizes the most valuable use cases, their user and business value, high-level architectural sketches, data needs and effort required.

This gives you a clear AI strategy, the confidence to speak about it with investors, and a focused path forward - saving you valuable time, money and energy on features that won't move the needle.

[Partnership]

Fractional AI Product Architect

Guiding development into shipped reality.

I work with you as your AI Product Architect — usually 1-2 days per week, on a monthly retainer — to keep your product’s AI direction clear and moving forward. Together, we prioritize the right use cases, refine and evolve your AI roadmap, design architectures, wireframes, and specs, and prototype the intelligence layer. I also guide your team in bringing everything to life, so AI isn’t just a plan, it becomes part of your product.

This gives you continuity and momentum: a dedicated AI partner without the overhead of a full-time hire. You stay investor-ready with a living roadmap, your team executes faster with clear specs and prototypes, and you as the founder can focus on driving growth.

[Optional Add-On]

Scoped AI Layer Builds

From use case to running system.

For simple, well-defined use cases, I can also design + build the AI layer as a scalable, modular microservice that plugs cleanly into your product. You receive a working system your team can own — with docs, handover, and UX wireframes to guide frontend integration.

This option lets you put AI in users’ hands quickly and show credibility to investors — without distracting your team or creating technical debt.

The results

[AI-native systems I’ve crafted and shipped.]

Pathfinder Pro ↗

[Intelligent Career Guidance]

•

[Pathfinder Pro ↗]

Supports future students in finding the ideal Swiss university program and career path through a personalized report — based on psychographic data and intelligent matching.

‍

I architected the AI system: from embeddings and RAG-based retrieval to report orchestration and UX delivery. It builds a user profile from longform survey data, matches it to study programs, and generates a tailored guidance report.

‍

Removes the guesswork from one of life’s biggest decisions.

Copalana: StoryTeller ↗

[Mission-Aligned Content Creation]

•

[Copalana ↗]

Helps nonprofits turn raw updates into emotionally resonant, cause-aligned content that amplifies awareness, donations, and engagement.

‍

I co-founded Copalana, a Swiss social-impact platform. For StoryTeller, I led product and technical development — architecting the full AI system and UX: from dynamic prompt orchestration to an interface where users fine-tune tone, length, or edit posts directly. I also prototyped an upcoming AI content planner: a wizard-based flow that captures audience, content focus, and platform preferences — and returns AI-ready content blocks, structured for the AI to craft into full posts.

‍

Content with heart. Created at scale.

The Compass ↗

[AI-native Astrology Engine]

•

[Uranian ↗]

Enables spiritual seekers to decode their karmic patterns and soul mission through a fully personalized, 50+ page astrology report.

‍

I co-founded and led product & technical development — architecting a multi-step LLM orchestration system that interprets raw astrological data into a cohesive, personalized narrative. I also shaped the full user experience — from website experience to how the report lands emotionally.

‍

Reads like a letter from your higher-self.

Do you want your product to be the next AI-native?

Book a free AI clarity call

The benefits

[How AI-native layers help your users succeed in your product.]

[1]

Remove friction points

Replace clunky multi-step flows with one natural action — helping users activate faster and stick around.

[2]

Personalize the UX

Offer suggestions based on who the user is and what they've done before — so the product feels built for them.

[3]

Surface better insights

Give users relevant guidance — on their progress, risks, and opportunities — where and when it matters.

[4]

Unlock more creativity

Help users turn their ideas into stronger drafts, designs, or outputs — tailored to their context, faster and with less effort.

When users succeed inside your product, they keep returning — fueling retention, revenue, and repeatable growth.

Ready to explore how AI can help your users succeed?

Book your free AI clarity call

The principles

[The non-negotiables in my design process.]

[1]

Design for user success

I only design AI that makes users more successful — removing friction, personalizing the experience, and enhancing creativity. If it doesn’t serve the user, it doesn’t belong.

[2]

Integrate natively

AI should feel like it was always part of the product. I embed intelligence as an integral part of your user's flows, so that it feels natural and friction-free.

[3]

Ground in context

I ground AI in the user's reality of your product — what they're seeing and have done previously — so outputs are relevant and accurate.

[4]

Protect user trust

I set guardrails so the AI stays within your product’s voice, scope, and values. This protects user trust — keeping interactions consistent and confidence intact.

[5]

Future-proof by design

I design modular, DRY architectures your team can easily grasp and build. The result: clean systems without technical debt, that hold up under growth.

The intelligence

[The building blocks of the AI layers I design.]

Context layer

What the AI knows, remembers, and retrieves to stay relevant and on-point.

Knowledge grounding

Feeds the model with the right sources — real-time inputs, session data, user history, and your products' domain model — so responses stay relevant and anchored in truth, not generic guesses.

Context design

Filters and shapes those sources into the signals that matter most — cutting noise, reducing token and cost overhead, and ensuring focused and high-quality response.

Memory & continuity

Tracks what matters across sessions and flows — choices, progress, and context — so the AI meets users where they are instead of starting from zero.

Behaviour layer

How the AI responds, adapts, and decides to stay purposeful and consistent.

Flow orchestration

Designs how the system progresses through a task — when to call models, when to use reasoning or tools, and where to branch or stop — so the intelligence stays in step with the user’s journey.

Prompt design

Structures how tasks and context are framed — breaking problems into steps, injecting the right context, and shaping outputs — so the AI delivers results that are reliable and easy to integrate.

Guardrails

Defines the boundaries of the system — what it can and cannot do — so the AI stays on-task, avoids unsafe behavior, and delivers outputs users can trust.

Integration layer

How the AI is woven into your product, so it feel natural and seamless.

UX flow embedding

Places AI directly into core tasks — from onboarding to creating to decision-making — so intelligence becomes part of the journey instead of a separate feature.

Native experience

Ensures the AI speaks and behaves like the rest of your product — matching its tone, style, and flow — so users feel they’re engaging with one unified product they can trust.

Smart timing

Uses product signals — where users slow down, repeat steps, or hesitate — to surface AI guidance at the right moment, making it timely and useful without breaking the flow.

The ākāśa

[Where your product's core signal emits from.]

‍Ākāśa is a Sanskrit word for “space” or “ether” — the subtle layer behind what we see.
Your product has one too.

‍

Beneath its UX and features lies its core signal:

Its essential purpose — why this product exists in the first place
The transformation your users seek — the change or outcome they come for
The value it creates in their world — what they walk away with

This is where I begin.
When we design from this signal, we uncover:

Where users get stuck — the hidden friction that costs retention
What users are really asking for — patterns buried in your data
Which AI layer creates leverage — the missing piece that makes your product “click”

From here, I design AI that feels like a natural extension of your product, because it's grown from what's already true.

‍

That’s how your product begins to think with your users & makes them come back.

The next step

[The free AI clarity call.]

In this one-hour session we’ll dig into your product, your users, and your current growth challenges. Together we’ll explore where AI could reduce friction, personalize the experience, or surface insights that really move the needle.

You’ll leave with clarity on the most promising directions to pursue — and whether a deeper AI Strategy Workshop is the right next step.

ākāśa

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