# Alexei Udall > AI and crypto growth, partnerships, and commercial systems I build growth at the intersection of crypto and AI. I turn complex technology into clear value for users, partners, and investors through data, partnerships, narrative, and hands-on execution. ## Verified proof - 17 years commercial: Including 14 years across sales and partnerships, with hands-on crypto experience since 2017. - €326k advisory revenue: Generated across 40+ advisory mandates from 2023 to 2025. - 6× year-on-year growth: Advisory business growth during the verified revenue period. - 200+ games onboarded: Supported through Web3 gaming partnership and ecosystem work. ## Case studies - [Metaverse Solutions: a repeatable advisory engine](https://alexeiudall.com/work/commercial-advisory-engine): A hands-on advisory practice that converted trust, specialist market knowledge and full-cycle execution into measured revenue growth. - [KAP Games: partnerships, distribution and investment strategy](https://alexeiudall.com/work/kap-games-partnerships-investments): Partnership and investment leadership for a games distribution platform operating across developers, platforms, technology providers and capital. - [Yield Guild Games: global partnerships in a category-defining market](https://alexeiudall.com/work/yield-guild-games-global-partnerships): Global partnership leadership for an early category leader, connecting game developers, blockchain platforms, ecosystem stakeholders and a large community. - [Applied AI: systems I use every day](https://alexeiudall.com/work/ai-native-operating-system): A governed system for research, project memory, content, task execution, and multi-agent workflows, used daily rather than built as a demo. ## Selected projects - [Rokumon Games](/arcade): A live browser-games studio and catalogue that turns independent builds across different stacks into one coherent public product. - [JobScout MCP](https://github.com/SarutobiSasuke8/jobscout-mcp): A privacy-first MCP server that gives agents one normalised pool for multi-source job discovery, provenance, deterministic deduplication and AI/Web3 signals. - [Obsidian GitHub MCP](https://github.com/SarutobiSasuke8/obsidian-github-mcp): A governed bridge between an Obsidian vault and GitHub with explicit read/write policy, audit trails and a dry-run access explainer. - [Agent Handoff MCP](https://github.com/SarutobiSasuke8/agent-handoff-mcp): A policy-aware server for deciding which agents may hand work to which peers, with inspectable rules and audit-friendly outcomes. - [Vibe Coding Generalist Template](https://github.com/SarutobiSasuke8/vibe-coding-generalist-template): A reusable repo operating system for agent-assisted builds: personas, quality gates, session memory, drift checks and clear human authority. ## Writing - [I Open-Sourced an MCP Server for Job Discovery](https://alexeiudall.com/writing/jobscout-mcp-job-discovery-for-ai-agents): JobScout gives AI agents one clean, read-only pool of job listings while keeping CVs, candidate ranking and applications outside the public infrastructure. - [I’m Turning My Obsidian Vault Into Shared Memory for AI Agents](https://alexeiudall.com/writing/obsidian-shared-memory-for-ai-agents): Chat context disappears. A well-maintained vault gives coding agents and autonomous teams somewhere durable to think, remember, and build. - [Agentic Trading Crosses the Permission Threshold](https://alexeiudall.com/writing/agentic-trading-permission-threshold): The important milestone is not the average balance. It is that a regulated broker let software act with real money on behalf of 100,000 retail users. - [Obsidian Multi-Brain Management](https://alexeiudall.com/writing/obsidian-multi-brain-management): Why a solo operator should spend real time on filing and syncing systems. - [Turning Ephemeral LLM Chats Into Durable Vault Notes](https://alexeiudall.com/writing/durable-llm-chats-vault-notes): A useful AI conversation should not disappear into chat history. A small capture workflow can turn it into searchable, connected working memory. - [The Agent Deployer Role Splits by Department](https://alexeiudall.com/writing/agent-deployer-role-splits-by-department): Deploying agents is becoming a domain role. The person who understands the workflow, risks, and quality bar may matter more than the person with the fanciest prompt. - [Manus Is the Easy On-Ramp to Practical Agents](https://alexeiudall.com/writing/manus-practical-agent-onramp): Time to first useful workflow matters. Agent products will broaden adoption when they reduce setup without hiding consequential permissions. - [Recursive Self-Improvement and the Fine Art of Selling the Future](https://alexeiudall.com/writing/recursive-self-improvement-selling-the-future): AI can be overhyped and still transformative. The useful work sits between automatic belief and automatic dismissal. - [Is It Really the Jobs Apocalypse, or Is It Something Else?](https://alexeiudall.com/writing/jobs-apocalypse-or-something-else): AI is changing work, but it is also becoming a convenient explanation for layoffs, overhiring, weak projects, and decisions markets reward. - [I Asked 4 LLMs if OpenAI Is Cooked. Here Is What They Said.](https://alexeiudall.com/writing/is-openai-cooked-four-models): Four frontier models assessed OpenAI’s market position, competitive threats, and three-to-five-year outlook. Their convergence was the most interesting result. ## Machine-readable routes - Profile JSON: https://alexeiudall.com/api/profile - Projects JSON: https://alexeiudall.com/api/projects - Recruiter agent guide: https://alexeiudall.com/agents ## Public-data boundary The public MCP and JSON surfaces expose only this curated portfolio. They do not access private files, a vault, CRM, credentials, contacts, or investor data.