Human architecture layer

Built by a product architect,
not a prompt.

The snapshot surfaces the first risk signal. Anastasia Russkih created the system and leads the human architecture review when the product decision needs judgment.

Human layer
After the signal
Judgment
What human review adds
Context, sequencing, and decision direction.

AI can surface a pattern. A product architect decides what it means for the build, the data model, the platform route, and the next investment.

Role logicreviewed
Platform fitchallenged
Build sequenceprioritized
Creator

I came through the work,
not around it.

I didn't start as an architect. I started building — real projects, real deadlines, real responsibility for what had to work in production.

My primary execution layer was Adalo. Through it, I went from someone who builds apps to someone who sees why a product will start breaking before the team does. I've shipped dozens of native mobile applications on the platform and built real depth on how Adalo behaves under pressure — which is why I don't guess when I diagnose it.

At some point, I got tired of watching the same pattern repeat: founders building without clear product logic, without data architecture, without understanding the boundaries of what they were constructing. Every sprint making the next sprint harder.

That's when I moved from building to architecture. Not from theory — from having seen what breaks, where it breaks, and why.

Now I work at the intersection of product decisions, system structure, and AI integration. My job is to make sure the foundation holds — so the work your team puts in actually compounds instead of accumulating as debt.

Anastasia Russkih, product architect for no-code and AI products
Product architect for no-code, AI and hybrid products. Async-first, architecture-first.
50+
No-code & AI product projects
Adalo Expert badge
Verified Adalo Expert — deep native mobile and marketplace architecture expertise
3
Industries where architecture decisions prevented product shutdown
Specialization
Need help with an Adalo product specifically? I have a dedicated page for that.
Selected proof

Real patterns behind
the snapshot logic

The system is shaped around recurring architecture patterns from no-code, AI, marketplace, sensitive-data and Adalo product reviews.

AI governance + sensitive data risk

High-Risk Safety Platform

The product looked like a child-safety platform. The real risk was governance: identity, consent, blocked users, sensitive data, parent-child-school roles, and AI-supported decision flows had to work together without unsafe access paths.

"Reframed the work from app building to AI/data governance architecture — identity, consent, access boundaries, and hybrid backend control before scale."
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Revenue risk

Consumer Subscription App

30K installs. Paying users suddenly couldn't complete onboarding. The visible problem looked like a bug; the real risk was an unstable entitlement and user-state flow.

"Prevented panic-driven rework in a live revenue product by separating infrastructure symptoms from product architecture failure points."
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Operational risk

Multi-Portal Health Ops MVP

The visible request was workflow automation across four portals. The real architecture risk was uncontrolled AI insights, privacy exposure, and fragmented compliance logic across patient, doctor, admin, and analytics surfaces.

"Designed privacy-aware architecture that protected MVP integrity while enabling controlled scaling, AI insights, and employer-safe aggregation."
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Business model risk

International Exchange Platform

The product was described as a marketplace, but the real risk was not listings or screens. The hard decisions were roles, trust, moderation, exchange logic, delivery paths, and what the platform owns when exceptions happen.

"She helped us structure the platform the right way from the start — exchange logic, moderation, and delivery flows. Her work gave us clarity, direction, and a much stronger foundation."
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Credentials

Platform depth,
not generic tool familiarity

Credentials are supporting proof. The core work is product architecture: data models, roles, permissions, integrations, rebuild risk and launch decisions.

Adalo Expert badge
Primary no-code specialization
Verified Adalo Expert

Deep Adalo architecture experience across native mobile apps, database structure, marketplace logic, performance, permissions and hybrid backend decisions.

View Adalo Expert profile →
AI platform literacy
OpenAI & Anthropic training

Completed AI platform training used to inform architecture decisions around AI-assisted workflows, Claude, ChatGPT, generated code, safety and written-first product systems.

AnthropicClaude 101
AnthropicClaude Code in Action
OpenAIChatGPT Foundations for Teachers
Founder feedback

What founders say

★★★★★
"Anastasia didn't just point out problems — she gave us a clear architectural map. We avoided a major rework that would have cost us at least 3 months."
Founder · Consumer subscription app · Adalo
Verified on Adalo Experts →
★★★★★
"She delved into the project as if it were her own. We left with a secure, scalable structure and confidence that our Adalo platform will not fall apart under growth."
Vitaly Selivanov · Adalo Platform Project
Verified on Adalo Experts →
★★★★★
"Anastasia took the time to really understand my needs. It was structured and agreed time frames were achieved. It felt as though she was part of the team."
Morry Rose · Startup, Health/Fitness App
Verified on Adalo Experts →
★★★★★
"This wasn't a typical marketplace, and trying to build it like one would have created expensive problems. She helped us structure the platform the right way from the start."
Michael · Startup, Marketplace
Verified on Adalo Experts →
Right fit

Who I work with
— and who I don't

Good fit
  • Founder with an MVP, early traction, or a serious product decision ahead
  • No-code, AI-powered, or hybrid product with growing complexity
  • Team preparing to hire, rebuild, scale, or hand off implementation
  • Product where the cost of a wrong decision is already visible
  • Idea-stage founder only if you are ready to make real product decisions before building
Not a fit
  • Want someone to “just build” without defining the product logic first
  • Need a tutorial or platform walkthrough
  • Want a quick template or pre-made solution
  • Not ready to make real product decisions
Next step

Start with the signal.
Move to human review only when the decision needs it.

The platform gives the first architecture risk screen. Human review is for founders who need judgment before another build, rebuild, hire, launch, or AI decision.