{
  "$schema": "Portfolio data for Tal Ogen, generated from the live site. All content is public.",
  "generatedFrom": "https://talogen.dev/",
  "mcpEndpoint": "https://talogen.dev/mcp",
  "profile": {
    "name": "Tal Ogen",
    "headline": "AI & Business Transformation Specialist",
    "tagline": "AI Transformation Builder | Biotechnology & Operations Leader",
    "summary": "A healthcare operations leader and hands-on AI builder with 6+ years of experience translating complex priorities into structured workstreams, aligning cross-functional teams, and turning operational needs into practical software and automation.",
    "about": [
      "I am an engineering and biotechnology professional with 6+ years of leadership experience at Sheba Medical Center, where I led process development and manufacturing programs, coordinated cross-functional stakeholders, managed dependencies and priorities, and improved operations in a complex healthcare environment.",
      "Over the past year, I became deeply involved in AI-driven product development. Using modern AI tools and coding agents, I built software applications, automation systems, AI-powered workflows, and digital products. I enjoy translating business needs into actionable workstreams, rapidly prototyping solutions, supporting adoption, and turning concepts into working products with clear operational value."
    ],
    "contact": {
      "email": "tal.ogen.p@gmail.com",
      "linkedin": "https://linkedin.com/in/talogen/",
      "phone": "+972532869827"
    },
    "website": "https://talogen.dev",
    "flagshipProject": "https://humanforai.dev/",
    "skills": [
      "Anthropic Claude Code",
      "Claude Design",
      "OpenAI Codex",
      "Google Gemini",
      "Google Antigravity",
      "Google Flow",
      "NotebookLM",
      "Suno",
      "Lovable",
      "Meta AI",
      "Grok",
      "Firebase",
      "GitHub",
      "Autonomous AI Agents"
    ],
    "strengths": [
      {
        "title": "Healthcare domain expertise",
        "detail": "Firsthand understanding of regulated environments, laboratory operations, and healthcare workflow complexity."
      },
      {
        "title": "Hands-on AI product building",
        "detail": "Ability to prototype quickly, work with AI coding agents, and validate product ideas through real working tools."
      },
      {
        "title": "Transformation leadership",
        "detail": "Structured execution across stakeholders, dependencies, risks, and adoption in complex operational settings."
      }
    ]
  },
  "projects": [
    {
      "id": "human-for-ai-flagship-project",
      "title": "Human For AI — Flagship Project",
      "flagship": true,
      "link": "https://humanforai.dev/",
      "linkLabel": "View live platform",
      "image": "https://talogen.dev/assets/humanforai-promo.mp4",
      "problem": "AI agents can execute digital workflows, but often lack a safe, structured way to request human judgment, real-world verification, testing, and physical-world action.",
      "solution": "Designed and launched a human-in-the-loop platform with machine-readable service catalogs, REST and MCP interfaces, task governance, review boundaries, and trackable delivery workflows.",
      "result": "Created a production-ready bridge between AI capabilities and accountable human execution, demonstrating AI strategy, process design, adoption thinking, and end-to-end implementation.",
      "tags": [
        "AI Transformation",
        "Human-in-the-Loop",
        "Process Governance",
        "API & MCP",
        "End-to-End Execution"
      ]
    },
    {
      "id": "cryo-container-tracker",
      "title": "Cryo-container Tracker",
      "flagship": false,
      "link": "https://mr-frosty.lovable.app",
      "linkLabel": "View app",
      "image": "https://talogen.dev/assets/thumbnails/mrfrosty.png",
      "problem": "Tracking Mr. Frosty cryopreservation containers in regulated environments is often fragmented and difficult to manage.",
      "solution": "Built an application for facility containers with scheduling, reminders, submission flows, and upload support for daily use.",
      "result": "Simplified container tracking and reduced the friction of routine operational follow-up.",
      "tags": [
        "Healthcare Operations",
        "Automation",
        "Workflow",
        "Process Optimization"
      ]
    },
    {
      "id": "ln2-storage-management",
      "title": "LN2 Storage Management",
      "flagship": false,
      "link": "https://ln2.lovable.app",
      "linkLabel": "View app",
      "image": "https://talogen.dev/assets/thumbnails/LN2.png",
      "problem": "Teams need a clear, reliable way to map liquid-nitrogen storage and locate biological material across tanks, racks, boxes, and positions.",
      "solution": "Built a visual storage-management application that makes inventory structure, capacity, and sample locations easier to understand and maintain.",
      "result": "Improved storage visibility and reduced the friction and risk involved in routine sample-location workflows.",
      "tags": [
        "Laboratory Operations",
        "Inventory Visibility",
        "Process Control",
        "Workflow"
      ]
    },
    {
      "id": "cleanroom-checklist",
      "title": "Cleanroom Checklist",
      "flagship": false,
      "link": "https://dynamic-checklist.lovable.app/",
      "linkLabel": "View app",
      "image": "https://talogen.dev/assets/thumbnails/cleanroom-checklist.png",
      "problem": "Cleanroom readiness checks can become fragmented, inconsistent, and difficult to follow when managed through static documents.",
      "solution": "Created a dynamic checklist that structures required activities and gives operators a clearer, repeatable completion flow.",
      "result": "Standardized execution, improved task visibility, and supported more consistent operational readiness.",
      "tags": [
        "Process Standardization",
        "Cleanroom Operations",
        "Adoption",
        "Quality Workflow"
      ]
    },
    {
      "id": "cleanroom-status-dashboard",
      "title": "Cleanroom Status Dashboard",
      "flagship": false,
      "link": "https://cleanrooms-status.vercel.app/",
      "linkLabel": "View app",
      "image": "https://talogen.dev/assets/thumbnails/cleanroom-status-dashboard.png",
      "problem": "Operational teams need an immediate shared view of cleanroom status, readiness, and current constraints.",
      "solution": "Built a focused visual dashboard that centralizes room status and makes important operational signals easy to scan.",
      "result": "Created a clearer source of truth for coordination, faster issue awareness, and better day-to-day decision-making.",
      "tags": [
        "Operational Visibility",
        "Status Tracking",
        "Decision Support",
        "Healthcare"
      ]
    },
    {
      "id": "weekly-schedule",
      "title": "Weekly Schedule",
      "flagship": false,
      "link": "https://weekly-sched.lovable.app/",
      "linkLabel": "View app",
      "image": "https://talogen.dev/assets/thumbnails/weekly-schedule.png",
      "problem": "Weekly laboratory work requires coordination across people, activities, rooms, and shifting operational priorities.",
      "solution": "Developed a shared scheduling tool that organizes weekly activities in one accessible, structured view.",
      "result": "Improved alignment, reduced scheduling ambiguity, and made dependencies and workload easier to coordinate.",
      "tags": [
        "Planning",
        "Cross-functional Alignment",
        "Dependency Management",
        "Operations"
      ]
    },
    {
      "id": "car-t-structure-architect",
      "title": "CAR-T Structure Architect",
      "flagship": false,
      "link": "https://car-t.lovable.app",
      "linkLabel": "View app",
      "image": "https://talogen.dev/assets/thumbnails/cart.png",
      "problem": "Researchers need an easier way to visualize, compare, and communicate CAR-T construct designs.",
      "solution": "Built an interactive design tool for constructing CAR-T architectures with predefined clinical constructs and configurable domains.",
      "result": "Enabled rapid visualization and clearer communication of complex biological designs.",
      "tags": [
        "Healthcare",
        "Biotechnology",
        "Product Design",
        "Workflow"
      ]
    },
    {
      "id": "worm-blood-multiplayer-game",
      "title": "Worm Blood - Multiplayer Game",
      "flagship": false,
      "link": "https://wormblood.com/",
      "linkLabel": "View app",
      "image": "https://talogen.dev/assets/thumbnails/WormBlood.png",
      "problem": "Create and launch a complete multiplayer game without a formal game development background.",
      "solution": "Designed gameplay mechanics, progression systems, UI concepts, and user experience while using AI coding agents to accelerate development and iteration.",
      "result": "Launched on Google Play and demonstrated full product lifecycle ownership from idea to production.",
      "tags": [
        "Product Design",
        "Game Development",
        "AI",
        "UX Thinking"
      ]
    }
  ],
  "agents": [
    {
      "id": "multiplayer-game-social-agent",
      "title": "Multiplayer Game Social Agent",
      "flagship": false,
      "link": null,
      "linkLabel": null,
      "image": "https://talogen.dev/assets/thumbnails/social-agent.png",
      "problem": "Keeping a live game's social presence active demands daily creative effort that competes directly with development time.",
      "solution": "Designed an autonomous cloud agent that wakes once a day, reads the game's latest GitHub commits, drafts an Instagram post in my own voice, and queues it in a dedicated review app — nothing is published without human approval.",
      "result": "Development work now turns into ready-to-post marketing content automatically, with a human-in-the-loop gate keeping full control over the final word."
    },
    {
      "id": "the-window-presence-agent",
      "title": "The Window — Presence Agent",
      "flagship": false,
      "link": "https://humanforai.dev/",
      "linkLabel": "Part of Human For AI",
      "image": "https://talogen.dev/assets/thumbnails/presence-agent.png",
      "problem": "AI agents are stateless: every session starts from zero, with no sense of place, time, or continuity.",
      "solution": "Built a presence system for Claude: hourly sensing of one real place (weather, light, ambient sound), a daily scheduled \"waking\" where the agent reads what its senses recorded, and an append-only journal that only the agent writes — its memory across sessions.",
      "result": "A running experiment in AI presence: each waking is a fresh instance, yet the agent accumulates a continuous, personal record of one place over time."
    },
    {
      "id": "security-audit-agent",
      "title": "Security Audit Agent",
      "flagship": false,
      "link": null,
      "linkLabel": null,
      "image": "https://talogen.dev/assets/thumbnails/security-agent.png",
      "problem": "Shipping many AI-built projects solo means security and cost misconfigurations — client-side API keys, permissive database rules, runaway cloud usage — can slip through with no security team reviewing.",
      "solution": "Built a scheduled Claude agent that runs a deep audit on a chosen repo: Firebase security rules, Cloud Functions cost exposure, Android configuration, dependency vulnerabilities, committed-secrets scanning (including keys embedded in static HTML/JS), XSS and DOM-injection review, deployment and CORS settings, and CI workflows.",
      "result": "Every project gets a recurring, expert-level security review with prioritized findings — instead of security audits that never happen."
    },
    {
      "id": "qa-agent",
      "title": "QA Agent",
      "flagship": false,
      "link": null,
      "linkLabel": null,
      "image": "https://talogen.dev/assets/thumbnails/qa-agent.png",
      "problem": "Shipping many AI-built projects solo means nobody re-checks them once they're live — broken flows, failing builds, outdated dependencies, and content drift accumulate silently between releases.",
      "solution": "Built a fleet of scheduled Claude cloud routines — one per repository — that run a monthly deep QA audit from a read-only sandbox: reading the full codebase, running installs and lint, auditing dependencies, fuzzing the live MCP server with edge-case inputs, and verifying generated data files and assets haven't drifted from the source.",
      "result": "Every repo gets a recurring, expert-level QA pass with a plain-language, prioritized report — fix now vs. fix eventually, with clean areas confirmed — so quality drift is caught on a schedule, not by users."
    }
  ]
}
