Domain 01
AI Product Architecture
Productized AI features tied to real workflows.
- AI agents
- AI-assisted workflows
- Content generation systems
- Human-in-the-loop design
- Productized AI features
RYKAZ turns complex cases into clear systems|
Senior product architecture for AI, SaaS, learning and immersive platforms
Turn complex product ideas into systems investors, teams and users can trust.
I help founders, innovation teams, and product leaders turn complex AI, SaaS, learning, or immersive ideas into buildable systems.
I work on architecture, product scope, technical risk, AI workflows, vendor decisions, and execution roadmaps.
PhD Computer Science · R&D and technical product experience · France
Advisory journey
Advisory Facets Cube
Six product hats for clarifying what to build, what to postpone, and what to avoid.
Rotate the scene to inspect the domains. Click a facet to shape your advisory brief, or open a numbered project marker to see the closest evidence.
Advisory focus
I translate ambition into architecture your team can actually build.
Many teams can build a prototype. Fewer can turn AI features, immersive demos, learning standards, and SaaS constraints into a product that is usable, maintainable, and aligned with the business goal.
- Clarify what to build, postpone, or avoid.
- Translate ambition into architecture and delivery steps.
- Reduce technical risk before teams spend too much.
Insights
Public thinking behind the architecture work.
Technical Field Notes
Why Storyboards Should Be Execution Contracts, Not Just Creative Briefs
AI-assisted authoring gets safer and more useful when the storyboard stops being a loose creative brief and becomes an inspectable execution contract for intent, scene flow, interactions, assets, and validation.
Technical Field Notes
Why Adaptive AI Needs a Feedback Contract, Not Just More User Signals
Adaptive AI gets more useful when products distinguish explicit preferences, corrections, and noisy outcomes instead of treating every click, edit, regeneration, or rejection as the same instruction.
Technical Field Notes
Why Human Approval Should Be a Designed State, Not an Automation Failure
If approval is treated as a pause between automation steps instead of a first-class workflow state, queued actions can outrun intent, publish stale payloads, or lose accountability, so approval needs evidence, expiry, revocation, and execution rules of its own.
Technical Field Notes
Why Production Migrations Need Their Own Verification Contract
A production deploy can look healthy while the database is on the wrong schema, the seed path targeted the wrong environment, or the application is reading a state it never actually proved, so migrations need their own verification contract.
Technical Field Notes
When a Prototype Deserves to Become a Separate Product
A prototype should split into its own product when its primary user, decision loop, data boundary, and operating risk stop fitting the parent workflow, even if the interface still looks related.
Technical Field Notes
Why Expert Content Automation Needs an Evidence Gate, Not Just Better Prompts
Expert content systems stay useful when approval depends on evidence, mechanism, limitations, diagnostics, and next-action quality instead of fluent text alone.
Technical Field Notes
Why Generated PDFs Are a Product Surface, Not an Export Detail
Generated PDFs deserve product-level design because visually correct output can still break links, hierarchy, accessibility, machine readability, and user trust across the editor-to-export pipeline.
Technical Field Notes
Turning AI Matching Scores Into Decisions Users Can Trust
A matching score becomes useful only when it carries evidence, confidence, missing data, and a next action instead of pretending one number can safely summarize the whole decision.
Technical Field Notes
Why High-Stakes Local Marketplaces Need Trust Architecture, Not Just More Supply
Childcare, care, and home-service marketplaces earn trust when verification, status design, communication boundaries, local relevance, and exception handling are built as product architecture instead of being left to profile volume and messaging alone.
Technical Field Notes
Why AI Provider Failover Is A Product Decision, Not Only Infrastructure
Multi-provider AI failover works only when each feature has an explicit quality floor, cost ceiling, latency policy, and user-visible degradation rule instead of silently swapping models behind the same product promise.
Technical Field Notes
Why Product AI Assistants Need Selective State, Not Full App Dumps
AI assistants inside authoring and operational products work better when they receive a task-scoped, permission-aware context packet instead of the full application state tree, because selective state preserves relevance, safety, and recoverable behavior.
Technical Field Notes
Why a Resource Inbox Needs Usage Rights, Not Just URLs
AI-assisted research and content systems need a governed resource inbox with ownership, allowed-use, intent, and lifecycle metadata before generation starts, or they will turn convenient source collection into trust, rights, and review debt.
Technical Field Notes
Why Technical Interview Prep Should Produce Architecture Notes, Not Disposable Answers
Senior technical interview preparation becomes more valuable when each question turns into a reusable architecture note with assumptions, trade-offs, evidence, and decision triggers instead of a memorized answer.
Technical Field Notes
Why Immersive Interfaces Still Need a Clear Information Hierarchy
Immersive scenes feel spacious, but usable XR and 3D products still need explicit hierarchy, progressive disclosure, and modal focus rules so presence does not turn into navigational noise.
Technical Field Notes
How to Test Production Tracking Without Polluting Your Metrics
Production tracking tests stay useful when verification events are preserved for auditability but isolated from the business metrics that guide product and growth decisions.
Technical Field Notes
Why AI Career Products Need Visible User Agency
AI career products become more trustworthy when they expose evidence, gaps, assumptions, edits, and next actions instead of pretending to replace the user's judgment.
Technical Field Notes
What R&D Documents Teach About Honest Technical Claims
Private technical work becomes credible public insight only when teams separate what was proved, what was tested internally, what is reasoned design, and what is still unknown.
Technical Field Notes
Building Agent-Ready Pages Without Writing for Bots
A page becomes agent-ready when it exposes explicit facts, canonical ownership, crawlable proof, and a clear next step instead of stuffing generic copy for algorithms.
Technical Field Notes
Why Job Aggregation Is Primarily a Data Quality Problem
Adding more job sources usually lowers search quality unless normalization, provenance, freshness, deduplication, and failure isolation are designed as first-class product contracts.
Technical Field Notes
Why Production Readiness Needs an Evidence Contract, Not a Successful Build
A build can succeed while permissions, data effects, observability, rollback, cost controls, and user-facing truth still fail, so release readiness needs explicit evidence across the whole operating path.
Technical Field Notes
Why Document Intelligence Needs an Editable Truth Layer
Document intelligence becomes trustworthy when teams separate extracted facts, generated recommendations, editable content, and final rendering instead of collapsing everything into one locked output.
Learning Systems
Why Immersive Learning Needs Interoperability Beyond the Viewer
An immersive viewer can deliver scenes, but operational learning products need interoperability across authoring, learner state, assessments, analytics, identity, and LMS workflows.
Technical Field Notes
From User Preferences to Useful AI Context Without Prompt Bloat
AI personalization gets more reliable when teams separate durable constraints, inferred preferences, and task-local choices instead of stuffing a full user profile into every prompt.
Learning Systems
Why WebXR Input Needs an Interaction Model, Not Just Device Support
WebXR exposes sessions and input primitives, but immersive products still need their own interaction model for focus, selection, fallback controls, and learning-safe state changes.
AI Product Architecture
Why Human-Reviewed AI Is a Product Boundary, Not a UX Patch
Human review belongs inside the product state model of an AI workflow, not as an informal cleanup step after output is already treated as truth.
Technical Field Notes
Why More Agent Tools Do Not Automatically Create a Better Agent
Agent reliability depends more on tool clarity, state awareness, and failure contracts than on the size of the tool catalog.
Technical Field Notes
Why Secure Machine Access Needs a Different Contract Than Human Admin Sessions
Automations and browser admins can share the same authorization boundary, but they should not share the same session mechanism, trust assumptions, or audit path.
Technical Field Notes
Why AI Tool Instability Makes Workflow Design More Durable Than Prompt Tricks
Models, interfaces, and agent frameworks keep changing; the durable advantage comes from workflow contracts, evaluation, and human control rather than from model-specific prompting tricks.
Technical Field Notes
Why a Prototype Portfolio Should Produce Decisions, Not Just Demos
A broad prototype portfolio becomes useful when each concept carries an explicit hypothesis, risk, status, and next decision instead of staying as a permanent showcase.
Technical Field Notes
Why AI Access Is Still Hierarchical, Not Democratized
AI lowers the cost of first attempts, but real leverage still depends on who controls tools, data, evaluation, approval, and the right to change real system state.
Technical Field Notes
Why Collaboration Needs Server-Owned Semantics, Not Just Real-Time Transport
WebSockets, SignalR, and pub-sub can move events quickly, but durable collaboration still depends on server-owned operations, replay rules, and state reconciliation.
Technical Product Leadership
Why Architecture Documentation Should Be an Operational Control Surface
Useful architecture documentation answers live operating questions: where state lives, how releases move, what breaks first, and who owns recovery.
Learning Systems
Why LMS Integration Needs a Separate Learning-State Model
LTI, SCORM, xAPI, and cmi5 can transport launches and results, but reliable learning products still need an internal state model for progress, completion, scoring, and replay.
Technical Field Notes
Why AI Billing Needs a Product Contract, Not Just Usage Metering
Metering AI usage is necessary, but trustworthy monetization depends on a product contract that defines billable actions, refunds, entitlements, and free exploration.
Technical Field Notes
Why Coding Agents Need a Repository Index, Not Just a Search Box
A practical architecture pattern for giving coding agents durable repository context, impact awareness, and resumable handoffs instead of repeated blind scans.
Technical Field Notes
How to Turn Visitor Intent Into a Better Proposal Brief
A practical pattern for turning explicit visitor choices into a structured advisory brief instead of a vague contact form or hidden lead score.
Technical Field Notes
How to Preview Unpublished Content Without Exposing It
A practical pattern for letting admins review the real article page before publication while keeping drafts out of public listings, analytics, and search indexes.
Technical Field Notes
Why Content Generation and Publishing Automation Should Be Separate
A practical trust-boundary model for teams using AI to draft content without letting generation automatically become publication.
Technical Product Leadership
How to Make Architecture Decisions Without Slowing Delivery
A practical decision-log method for resolving architecture choices quickly, preserving the reasoning, and reopening them only when the assumptions change.
AI Product Architecture
How to Know When an AI Feature Is Reliable Enough to Ship
A practitioner's method for deciding when an AI feature is ready for users: build an evaluation set, agree a failure budget, and ship behind a control point.
Learning Systems
How to Make Lesson Videos Searchable in a Learning Platform
A practitioner's method for turning a growing video library into a searchable knowledge layer that learners can query and the platform can measure.
Technical Product Leadership
How to Triage Technical Debt Without Stalling the Roadmap
A practitioner's method for deciding which technical debt to pay down now, which to leave, and how to fund the work without a freeze.
Technical Product Leadership
Build vs Buy: A Decision Framework for Technical Leads
A practitioner's framing for deciding when to build, when to buy, and when reversing a vendor choice will cost more than the feature itself.
Technical Product Leadership
Technical Product Manager vs Product Architect vs Fractional CTO
A clear distinction for recruiters and founders evaluating technical product leadership needs.
Learning Systems
From 360 Video to Interactive Learning Systems
How immersive media becomes a learning product when authoring, runtime, analytics, and LMS standards work together.
SaaS & Product Strategy
Why Prototypes Fail to Become Products
A product architecture lens on why promising prototypes stall when they meet users, operations, integrations, and support.
AI Product Architecture
How to Turn an AI Idea Into Product Architecture
A practical framing method for converting an AI concept into workflows, boundaries, risks, and delivery decisions.
Expertise
Four domains, one product architecture lens
Each domain is a decision surface: what to build, where risk sits, how users move through the system, and what the team needs to execute next.
Domain 02
Learning Systems
LMS, standards, analytics, and adaptive learning flows.
- LMS integration
- LTI 1.3
- SCORM
- xAPI
- Learning analytics
- Adaptive learning workflows
Domain 03
Immersive / XR Platforms
Authoring, runtime delivery, and web immersive systems.
- 360 authoring
- Virtual tours
- XR training
- Digital twins
- Three.js delivery
- Authoring-to-runtime bridge
Domain 04
SaaS & Product Strategy
From MVP scope to scalable product architecture.
- Multi-tenant architecture
- API design
- Backend architecture
- Real-time collaboration
- Roadmap
- MVP to production
Consulting formats
For existing products, prototypes, or technical plans.
Architecture Audit
- Architecture review
- Risk map
- Product gaps
- Scalability issues
- Integration concerns
- Practical roadmap
For teams before they build.
AI / Learning / XR Product Blueprint
- Product concept clarification
- User journeys
- System architecture
- Integration strategy
- Data and AI workflow design
- Delivery roadmap
For startups and innovation teams needing ongoing support.
Fractional CTO / Product Architect
- Roadmap support
- Architecture decisions
- Technical reviews
- Team guidance
- Vendor evaluation
- Product execution support
Selected product evidence
Prospr
AI-powered job search and career platform
Online product
Prospr turns job-search uncertainty into structured AI-assisted positioning, search, and application workflows.
AI Product Architecture
Kaptia / IA Learning
360 immersive authoring platform
Online professional work
Kaptia / IA Learning turns 360 videos into interactive learning experiences with hotspots, buttons, audio, quizzes, and web delivery.
Immersive / XR Platforms
NounouProche
Early childhood SaaS marketplace
Online product
NounouProche maps marketplace trust, local childcare search, parent workflows, and family-service operations into a public SaaS product.
SaaS & Product Strategy
HomyHon
Real-estate purchase assistant
Online product experiment
HomyHon guides French property buyers through pre-offer risks, renovation questions, financing context, and decision checkpoints.
AI Product Architecture
WasteLess
Receipt intelligence for food waste reduction
Prototype
WasteLess scans grocery receipts and turns purchases into personalized waste-reduction tips, savings estimates, and habit guidance.
AI Product Architecture
InvoiceHub
Digital invoice and receipt workflow
Prototype
InvoiceHub explores invoice and receipt digitization, banking and payment flows, transaction history, and spending insights.
SaaS & Product Strategy
CareFlow
Hospital communication workflow
Prototype
CareFlow explores hospital communication, staff workflow, and companion notification patterns for patient-family coordination.
Learning Systems
Knozy
Waiting-room engagement platform
Prototype
Knozy explores waiting-room engagement, patient education moments, and local healthcare communication surfaces.
Learning Systems
BrightSpark
Accessible foundational learning app
Prototype
BrightSpark explores accessible bilingual learning for children with visual or neuro-developmental needs through adaptive exercises and parent progress tracking.
Learning Systems
Ma Vie Facile
Daily support PWA for mothers in France
Prototype
Ma Vie Facile is a calm mobile PWA concept for unemployed mothers in France, with daily routines, health reminders, French practice, administration, goals, well-being, and parenting support.
Learning Systems
Squad 90-Day Challenge
Family health challenge onboarding
Prototype
Squad 90-Day Challenge explores family or group habit change through simple onboarding, fitness, health, and shared motivation.
SaaS & Product Strategy
E-Learning
LMS / immersive learning integrations
Prototype
E-Learning material supports LTI, SCORM, xAPI, analytics, and adaptive learning positioning.
Immersive / XR Platforms
Request a proposal
Turn your product situation into a clear advisory brief.
Describe the context, constraints and decisions that need clarity. You get a recommended engagement format, and I receive the substance needed to prepare a serious reply.
The form prepares a structured request. No prices are shown publicly: pricing belongs in the final proposal.
Recommended format
Light monthly retainer
Short alignment phase, scope still to clarify.
After submission, I directly receive a structured, high-priority brief. Pricing is added privately in the final proposal.
Recruiter path
Hiring for technical product, R&D, AI product architecture, or immersive learning roles?
This portfolio is consulting-oriented, but it also gives recruiters a direct path to evaluate roles where roadmap discipline, architecture depth, AI workflows, learning systems, or immersive platforms need one accountable technical product owner.
Roles I fit
- Technical Product Manager
- R&D Project Manager
- Product architect for AI, SaaS, learning or XR
- Fractional CTO / technical advisor
Profile materials
CV and role-specific documents are available on request. I keep private job-search PDFs out of the public site until they are reviewed for the target role.
Request CV / profileContact
Bring a serious product question, not a vague request.
Use the brief form to share the context, constraints and decisions that matter. I will respond around the architecture, roadmap and execution path.
Prepare a consulting briefReview relevant work The form creates the context needed for a serious first reply.