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AI-Powered Development

Full-stack development with AI-native workflows

I build scalable web products and agentic systems by combining solid engineering, LLM orchestration and deterministic quality gates.

Trusted technology base

g.
Next.js
Astro
Prisma
PostgreSQL
Tailwind
TypeScript
Next.js
Astro
Prisma
PostgreSQL
Tailwind
TypeScript
Next.js
Astro
Prisma
PostgreSQL
Tailwind
TypeScript
Next.js
Astro
Prisma
PostgreSQL
Tailwind
TypeScript
Try AI agents and product workflows as live systems, not static claims.

Live Demos

Do you have a smart speaker?
~/ecommerce-assistant.sh

E-Commerce AI Assistant

An MVP storefront for testing agent frameworks behind one web-chat interface. The assistant behaves like a product consultant: it reads catalog context, answers FAQ questions and helps users choose smart devices.

FastAPI React LangGraph SQLite
Launch Demo
~/crm-assistant.sh

SMB CRM Assistant

An AI-first CRM prototype for small businesses with an embedded assistant layer for client communication, lead handling and manager workflows.

Vite Hono Prisma Postgres
Launch Demo
Experiments

Lab / R&D

View all experiments
Agent configs & workspace

Opencode Setup

Workspace configuration, MCP servers and system prompts for local AI agents. Connects IDE, terminal and language models into a controlled development loop.

In development
LLM page generator

AI Landing

Experimental landing-page generator that uses deterministic LLM pipelines to assemble UI sections from a structured brief.

In development
Agentic CRM workflows

AI CRM

Prototype CRM where agents enrich leads, analyze conversations and create manager tasks without manual entry.

Launch demo
AI-native WP theme

Govard Gutenberg

AI integration inside the WordPress workflow for generating native blocks and layouts directly from Gutenberg-oriented artifacts.

In development
Visual AI builder

Page Builder

Visual interface builder with an AI copilot, connecting drag-and-drop editing with generative design operations.

In development
Atomic Tailwind system

UI Library

Atomic Tailwind component library that acts as a source of truth for generated design systems and reusable interface patterns.

In development
Craft CMS + Tailwind

Craftail

Hybrid architecture that combines CMS flexibility with Tailwind utility structure for fast enterprise-grade project assembly.

In development
Web inference experiments

AI Web LM

Research track for running smaller language models in the browser through WebGPU and low-latency local inference patterns.

In development
Model orchestration toolkit

AI Studio

Internal hub for managing, testing and orchestrating multiple models and agents before production deployment.

In development
Email generation pipeline

AI Email

Automated pipeline for personalized email campaigns where agents analyze customer profiles and generate relevant content.

In development
HTML to block compiler

HTML to Gutenberg

Compiler workflow that turns raw AI-produced HTML/Tailwind layouts into valid React blocks for WordPress.

In development
Telegram automation

Telegov

Telegram mini-app and bot ecosystem for operational access to infrastructure and AI-task management on the move.

In development
Scale synthesis

Startup speed. Enterprise discipline.

Fast shipping without losing control.

Workflow-first engineering

Agents + deterministic systems

AI accelerates the workflow, while architecture, schemas, tests and release gates keep the result controlled.

● LIVE SYNC
Auth Gate
Core Logic Type Safe 100%
Prisma ORM
Evidence-based delivery

Measurable quality gates

Every serious artifact should pass build, route, content and visual checks before it becomes a public asset.

ci-pipeline.yml
✔ Resolving dependencies
✔ Type checking (tsc --noEmit)
✔ Compiling optimized chunks
⟳ Running E2E Playwright tests...
Deployed to Production in 2.4s
Profile data

About

> AI Agent Engineer & AI-first Web Developer

I have been building web and digital products since 2014. Since 2024, my focus has shifted fully to AI-first development: agentic workflows, RAG systems, automation tools and production pipelines with clear quality gates. My strength is connecting code, AI and a disciplined delivery process.

Engagement Models

Work formats

Workflow Builder

AI-first web project

A complete production cycle from discovery to deployment, with architecture, content, UI and verification handled as one system.

Fixed scope and verification
Focus
Production workflow
Deliverable
Site, product interface or automation flow with evidence kit
  • Deterministic Pipeline The project is assembled through a controlled workflow, not improvised prompt output.
  • Evidence-kit Delivery The handoff includes documentation, route checks and verification artifacts.
Request an estimate
Human-Studio
Popular

Fractional AI Engineer

Senior engineering judgment and AI tooling integrated directly into your product or in-house team.

Hands-on delivery
Focus
Architecture and implementation lead
Deliverable
Agentic workflow, RAG, automation or product layer
  • Engineering Standards CI/CD, strict architecture boundaries and maintainable implementation patterns.
  • Live Refactoring Removing bottlenecks and accelerating time-to-market with agentic workflows.
Book a slot
Pipeline

Production pipeline

Phase 01

Discovery & AI Blueprint

Gate: Architecture approved
Client Interface
LLM Router
Vector DB
Phase 02

Data Model & Backend Core

Gate: Schema locked
schema.prisma
User
id UUID
email String
AgentLog
userId UUID
action JSON
Phase 03

Agentic Workflows & LLM

Gate: AI pipeline passed
Orchestrator
> user: "Analyze database structure"
Thinking...
Action: get_schema
Executing tool...
✔ Tool success. Yielding structured JSON.
Phase 04

Frontend & UI Integration

Gate: Components built
Dashboard.tsx
React
Phase 05

QA, Security & Handoff

Gate: Production ready
Production Deploy
AI Security Audit
PASSED
E2E Tests
142/142
Live on Edge
14
Days to MVP
directional delivery target
50+
Workflows
documented systems
100+
Agents
active experiments and configs
300+
Skills / tools
automation layer
Stack

Stack and tools

Modern web, AI orchestration and automation stack for fast but controlled product delivery.

AI Agents & LLMs

LangGraph LangGraph
LangChain LangChain
PydanticAI PydanticAI
MCP
OpenCode
OpenAI OpenAI

Frontend

Astro Astro
Next.js Next.js
React React
Vue Vue
TypeScript TypeScript
Tailwind CSS Tailwind CSS

Backend & Runtime

Node.js Node.js
Bun Bun
Python Python
FastAPI FastAPI
Hono

Data & CMS

PostgreSQL PostgreSQL
SQLite SQLite
Prisma Prisma
pgvector
WordPress WordPress

Quality & Tooling

Playwright Playwright
Vitest
Route QA
GitHub Actions
Obsidian Obsidian
Who GovardOS is for

A role-aware architecture for teams that need outcomes, not process theater.

01
Product / CTO / PM

Product / CTO / PM

AI-first workflow adoption without chaos: strict quality gates, tests and predictable outcomes.

Quality Gates Predictability No Magic

Controlled production

From concept to production through deterministic pipelines and explicit artifacts.

End-to-end control

Each step from idea to deployment is covered by quality gates.

Lower time-to-market

Faster release through reusable architecture patterns.

02
Founders / Business

Founders / Business

Launching technical products with transparent service fit, clear boundaries and no agency theater.

Clear Boundaries Fast MVP Scalable

Measurable result

Focus on business logic instead of micromanaging the development process.

Transparent scope

Clear project boundaries without hidden costs and delivery drift.

Architecture that can grow

A stack that does not need rewriting after the first load spike.

03
Recruiters / Hiring

Recruiters / Hiring

Senior hands-on expertise in hybrid development and LLM-agent integration.

Seniority Trajectory Cases

Compound expertise

Production discipline multiplied by modern AI-first tooling.

Deep-dive profile

Resume and cases that show the stack, not just claims.

Real R&D cases

Open project and architecture experiments in the Lab layer.

Deep engineering.

Every architecture layer is designed to move from demo to production without losing control.

Hybrid Pipelines

Strict separation between agent work and deterministic code.

ChatGPT
Claude
Gemini
Kimi
MiniMax
Quality Gates

Multi-layer testing and verification for every AI-assisted artifact.

LLM Orchestration

Configuration and control of local and cloud models for business tasks.

GET /api/users
GRAPHQL
mutation {
ws://stream
gRPC Sync()
Deterministic UI

Component generation with type safety and design-system alignment.

/commit -m "Update docs"
/fix Component.tsx
/optimize calculate_hash()
/test src/utils.ts
➞
/refactor auth layer
Add your own
Production Frontend

Astro, Next.js, React.

dj
Django Model
A
Angular Module
Vue Instance
React Component pages/index.tsx
Robust Backend

Node.js, Bun, FastAPI.

JS
function() {
Py
def main():
Go
func init()
Rs
impl Router {
C#
public void Init()
Data Layer

PostgreSQL, Prisma, MongoDB.

REDIS
MONGO
POSTGRES
Prisma ORM
Agentic Frameworks

LangGraph, PydanticAI, MCP.

TEST SUITE EXECUTION
✓ src/api/auth.spec.ts (1.2s)
✓ src/db/schema.test.ts (0.8s)
✓ src/utils/hash.test.ts (2.1s)
14 passed, 14 total
Snapshots: 3 passed, 3 total
Coverage: 98.4%

Need an AI-native product workflow that actually ships?

I can help turn a brief into architecture, artifacts, implementation and verification.