Intelligence woven into your product's DNA

[For founders looking to unlock their next growth stage through AI — without sacrificing integrity.]

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. Maybe you’ve already tried adding AI — but it feels bolted on.

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.]

Portrait of Stephan Singh Ryatt, founder and AI product architect of Ākāśa Systems, seated in front of a dual-monitor setup with code visible on the screens. The image is in black and white, emphasizing a focused and thoughtful expression.

[About me.]

I’m Stephan Singh Ryatt — a 3x founder shaping AI-native products for startups dedicated to serving humanity and the Earth.
My work lives where product design, systems architecture, and human growth meet.

Across three ventures — from a social impact platform to personalized guidance engines — I’ve built AI systems that translate human context into intelligent behavior.

These experiences taught me that creating a cohesive product requires more than clever tech — it's about the commitment to putting the user, your ethics and the long game first.

Too many teams are racing to slap AI onto their product — to prove they’re “AI-enabled,” ahead of the game, and different.
The result? Gimmicky features, eroded trust, and poor user retention.

I help you cut through that pressure — by building AI layers that feel like they were always part of your product. I assess where intelligence creates real leverage, embed it deeply into your flows, and give it access to the user's context that makes every interaction feel personalized and relevant.

Simply put: I help your product think with the user —
so they succeed inside it, keep returning, and drive retention and sustainable growth.

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

Schedule your AI Clarity Call

The service

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

Workshop

AI Strategy Mapping

[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

AI Product Architecture

[Guiding development into shipped reality.]

I work with you as a fractional 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.

Scoped Build

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 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 make your product think with your users?

Book an AI clarity call

The work

[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.

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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.

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

Copalana: StoryTeller ↗

AI-driven Content Creation

Copalana ↗

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

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I co-founded Copalana, a Swiss social-impact platform. For StoryTeller, I led product and technical development — architecting the full LLM-based 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.

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Content with heart. Created at scale.

The Compass ↗

AI-native Astrology Engine

Uranian ↗

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

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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.

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Reads like a letter from your higher-self.

Are you ready to make your product AI-native?

Start with an 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.]

Knowledge layer

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

Knowledge grounding

Feeds the LLM 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.

UX 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 philosophy

[Designing from the unseen layer.]

[ākāśa, Sanskrit for “space", reminds me that clarity begins in the invisible.]

Every product has an unseen layer — its core signal:
the deeper reason people return and the value they carry forward.

That signal is made of three truths:

Purpose — why your product exists
Transformation — the change users experience
Value — what remains with them afterward

When you design from this signal, friction drops, trust grows, and intelligence feels like it belongs.

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Result: AI that’s aligned with your product’s truth — not the latest trend.

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That’s how a product begins to think with its users.

The invitation

[The 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 Mapping workshop is the right next step.

Start Mission About Service Benefits Work Principles AI Philosophy