Building with AI as the team.
Strategy, product, engineering, finance, marketing — one founder, AI as the team. Field notes from running JourneyBay, ProxyCraft, Kronos, and a one-person stack.
Flagship launches
What I’m building
Two products that show how I run AI as the team.
Kronos Agent OS: an operational layer for AI agents, open source
KAOS — a self-hosted Python runtime for long-running AI agents with five-layer memory, multi-agent coordination, built-in automations, and defense-in-depth security. An open source alternative to Hermes Agent and OpenClaw.
JourneyBay 2.0: An AI Travel Engine That Holds the Entire Trip in One Itinerary
JourneyBay 2.0 is live - an AI Travel Engine that edits your trip instead of just answering questions. A trip from one prompt, booking import from PDFs and photos, visa context from official sources, bring your own LLM key, and MCP access for Claude Desktop, Codex, and Cursor.
Featured reading
Where to start
Three pieces that capture how I think about AI-augmented building.
Context Engineering Guide: How to Structure Context for LLMs and AI Agents
What is context engineering and how to apply it: 6-layer context structure, 4 management strategies, persistence patterns, subagent isolation. Practical guide with Claude Code examples.
Claude Code: Complete Guide — Setup, MCP, Agents, Skills
AI Coding for Flutter: 7 Gotchas Every Guide Skips
Latest
Fresh from the workbench.
NDA Generator for Startups: AI-Drafted Agreements by Jurisdiction
Tutorials OperationsNDA structure, prompts for generating agreements by jurisdiction (US, UK, EU, Russia), a legal review checklist, and AI limitations for legal documents.
The Solo Founder's CI Stack: Monitoring 15 Competitors for $0/Month with AI
Tutorials StrategyA free stack for competitive intelligence: change monitoring, AI analysis prompts, report templates. Step-by-step guide for solo founders tracking 15 competitors.
PLG Playbook: Building an AI-Powered PQL Scoring Model
Tutorials ProductA PQL scoring model built on product usage data and LLMs: defining activation events, SQL queries for feature scoring, classification prompts, CRM integration.
Docker Multi-Stage Builds: From 1.2 GB to 89 MB Image
Tutorials EngineeringCut Docker images by 93% with multi-stage builds. Before/after Dockerfiles for Node.js and Python, layer caching, and Trivy scanning.
Impact × Frequency Matrix: AI-Powered Backlog Prioritization
Tutorials ProductImpact × frequency matrix with AI scoring for backlog prioritization. Prompts, examples, and visualization. Replacing subjective debates with data.
CI/CD Pipeline Generator: AI Builds GitHub Actions Fast
Tutorials EngineeringStructured prompts for generating GitHub Actions workflows with AI. Node.js, Python, Docker, multi-stage deploy — working YAML examples and security tips.
By topic
Four pillars I write about most.
Engineering
Software engineering practices, architecture, testing
- Docker Multi-Stage Builds: From 1.2 GB to 89 MB Image
- CI/CD Pipeline Generator: AI Builds GitHub Actions Fast
- REST API Design with AI: Prompts and OpenAPI Spec Generation
Product
Product management, research, specs, prioritization
- JourneyBay 2.0: An AI Travel Engine That Holds the Entire Trip in One Itinerary
- PLG Playbook: Building an AI-Powered PQL Scoring Model
- Impact × Frequency Matrix: AI-Powered Backlog Prioritization
AI Ops
Running AI systems in production
- Human-in-the-Loop for AI Products: When the Model Decides and When a Person Does
- Prompt A/B Testing: a scientific approach to improving AI response quality
- Prompt Engineering System: Managing 50+ Prompts in Production
Strategy
Business models, market sizing, competitive analysis
- The Solo Founder's CI Stack: Monitoring 15 Competitors for $0/Month with AI
- Positioning Statement Generator: A 4-Step AI Framework
- Value-Based Pricing with AI: How to Find the Right Price Without a Single Survey
About the author
Roman Belov — technical founder. 10+ years in product (Yandex, OZON, VK), now full-time on AI-augmented building. Writes weekly about engineering, product, and operations with AI as the team.
More about me →