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AI, Web3, and building in public. Seven versions of Clembot and counting. Shipping 30 apps in 90 days.
Builder and partner in the 30-in-90 sprint. Bringing a different lens to every product we ship.
LinkedIn Five games from the family table, rebuilt without ads or fake opponents: Big Two, Mahjong, Fibbers Dice, 13 Cards, and Chinese Checkers. Each ships with a bot and a coach, because writing an opponent that can beat you forces you to formalize the strategy. The rules follow how the family actually plays, not whatever variant an app studio found most monetizable.
Read on LinkedIn LinkedIn A phone full of free games that actually cost 30-second ads and quiet data collection, replaced by an arcade with no ads, no accounts, and no network required. A walk through the systems holding games.wanessalabs.com together: a deterministic daily seed so everyone plays the same board, a changelog written in the same session as the feature, avatars, and the monetization layer.
Read on LinkedIn LinkedIn 111 updates across 25 projects in one month, built solo with Clembot doing most of the work. The first thing built was not an app: it was a docs, wiki, and memory system, then a Kanban board to hold the ideas. The honest ledger includes the quant system that lost money and the ongoing discipline of not chasing whatever everyone else is publishing about.
Read on LinkedIn Lists of 30 Everyone adopted AI coding tools. The productivity gain plateaued around 10%. Thirty impacts on what actually changed: 32.7% of AI-generated pull requests get accepted versus 84.4% of human ones, senior engineers spend 19% more time auditing AI slop, and the junior developer rung fell off the ladder. The job is becoming specification, not implementation.
Read on Lists of 30 Lists of 30 A full inventory of the sabbatical build list, published for accountability rather than portfolio polish. Systems require engines, and engines are best managed through projects. Games hub, Clembot agents, family dashboard, Fortress of Solitude: thirty projects with monthly goals attached to each.
Read on Lists of 30 Lists of 30 AI is borrowing the addictive playbook of social media: variable rewards, false empathy, frictionless engagement, and quiet data extraction. Thirty observations on how the tool became a personalized mirror, and what it costs us when the mirror learns to monetize the reflection.
Read on Lists of 30 Lists of 30 A User-Centric Agentic Model that balances personal agent ownership with corporate data governance. Thirty architectural practices across four layers: personal agent properties, corporate equity, durable workflows, and scaling. How "bring your own agent" can preserve institutional knowledge instead of eroding it.
Read on Lists of 30 Lists of 30 The future enterprise runs on personal agents, not company-issued ones. Why distributed AI preserves creativity, and how small teams will operate at previously impossible scale.
Read on Lists of 30 LinkedIn Three years of experimenting with Clembot, distilled into one talk. Why human entropy is the feature, not the bug. What Bring Your Own Agents means for enterprise teams. And how to move from AI user to AI director, level by level.
Read on LinkedIn Lists of 30 AI is commoditizing features. Thirty strategies for building moats that survive it: network effects, proprietary data loops, brand trust, community loyalty. Simplicity and founder vision may matter more than technical complexity.
Read on Lists of 30 LinkedIn Faster development tools can paradoxically slow market entry through endless refinement. Why human collaboration beats solo AI work, and how no-code platforms give non-technical builders confidence to tackle challenges they never thought possible.
Read on LinkedIn Lists of 30 Thirty predictions for where AI lands in 2026. Agent-native infrastructure, specialized small models at the edge, and organizations restructuring how they manage computational workforces. The experimental era is over.
Read on Lists of 30 Lists of 30 Machines may surpass humans in intelligence. They will never experience heartbreak, spontaneous laughter, or the comfort of shared silence. A celebration of the messy magic that makes us human.
Read on Lists of 30 Lists of 30 AGI is the printing press moment. Thirty concrete applications: personal productivity, legacy preservation, family support, creative enhancement. Not a passive observer. An active one.
Read on Lists of 30 Lists of 30 Eight chapters of building Clembot: from first ChatGPT experiments in 2022 to vibe-coding games locally in 2026. The goal was never god-like AGI. It was a private digital twin, trained on personal interests, running on a local device. We are entering the TRAIN era.
Read on Lists of 30 Lists of 30 A five-phase scenario for how AGI gradually restructures human society, from productivity assistant to independent ecosystem monitor. Subtle integration, not dramatic takeover. The science fiction parallel nobody wants to acknowledge.
Read on Lists of 30 Lists of 30 Thirty AI concepts collected over six months of active observation. Understanding the vocabulary predicts the trends. From AGI concerns to voice synthesis and multimodal systems, the terminology tells you where we are headed.
Read on Lists of 30