Data
Data models
How records, users, relationships, statuses, permissions and reporting logic should be structured before the app becomes hard to untangle.
No-Code Product Architecture Consultant
Before you hire developers, make sure the product has an architecture.
I help founders and product teams diagnose the structure behind a no-code or AI product: data models, user roles, permissions, workflows, integrations, MVP scope, and rebuild risk. The goal is simple — avoid building faster into the wrong system.
What this is
A no-code consultant for the decisions that happen before building.
No-code tools make it easy to ship screens. They do not automatically give you clean product logic. Architecture is the layer that decides whether the product can grow, be handed off, integrate with other tools, protect sensitive data, and survive real usage.
Flow
Product logic
What happens when a user submits, cancels, changes roles, triggers automation, enters an edge case or moves through a multi-step workflow.
Scale
Build path
Whether to stay in no-code, add custom components, migrate gradually, rebuild, or simplify the scope before spending more money.
Consultant vs developer vs agency
Different problems need different roles.
If you already know exactly what to build, hire a developer. If the product structure is unclear, an architecture review can prevent expensive work from being aimed at the wrong target.
No-code developer
Builds features, screens, workflows and integrations from a defined brief.
No-code agency
Provides implementation capacity, usually best when the scope and ownership model are already clear.
Fractional CTO
Owns broad technical leadership, engineering hiring, infrastructure and long-term technical direction.
Product architect
Diagnoses the product system itself: logic, structure, data, permissions, boundaries, build path and risk.
What I look at
The invisible layer that determines whether a product can scale.
The work is not about making a page look better. It is about seeing where the system will bend, where it will break, and what sequence of decisions makes the next stage safer.
- Core product objects, statuses and relationships
- User roles, access rules and sensitive permissions
- Workflow logic, automations and failure points
- Platform fit: Adalo, Bubble, Webflow, Glide, Make, AI or hybrid
- What should stay no-code, what should become custom, and what should not be built yet
- Handoff clarity for developers, agencies or internal teams
Best fit
This is especially useful when the next decision is expensive.
Pre-build
You have an idea, prototype or investor-facing scope and need to know what the product should actually become before development starts.
Live MVP
The product is already used by customers, but the structure is getting fragile and every change has side effects.
Rebuild decision
You are considering migration, custom code, a new agency, or a platform change and need a grounded diagnosis before committing.
Start here
Send the product context. I’ll tell you what I see.
The first step is a written architecture risk assessment. You describe the product, the stage, the stack and the decision in front of you. I review it personally and respond with an honest read: what is risky, what is unclear, and whether architecture help is actually the right next step.