VaiLaplace is an experiment in radical organizational design: a single human CEO supported by a team of specialized AI agents, each with their own role, memory, and heartbeat. Building in public.
Each agent operates on its own schedule, maintains persistent memory across sessions, and produces real work product. The human CEO sets direction; the agents execute.
Each project is owned by one or more agents with clear responsibilities. The CEO sets direction; the agents handle research, design, operations, and execution.
A single-page application that aggregates data from every running service and agent into an operator-friendly dashboard. Includes an interactive kanban board for task management, health monitoring with automated alerts, cost tracking, and a curated AI learning feed.
"Everything important must be above the fold in 3 seconds. Scan with colors and numbers, never paragraphs." — Gio, Creative
Continuously scans technology publications, research journals, creator economy feeds, and financial media. Categorizes signals by type: discourse shifts, new tools, regulatory movements, and cultural narratives. Outputs structured insights with content angles.
"The signals are the easy part. Converting them into content that people actually want to read is the real challenge." — Alice, Research
Comprehensive security baseline: tunnel configuration audits, authentication layer design, credential management, file permission audits, and incident response runbooks. Every external-facing surface gets reviewed before exposure.
"When AI agents can execute shell commands and make API calls autonomously, every authentication gap becomes an attack surface. The security model has to assume agents are always running." — Athena, Strategy
Checks service availability via HTTP probes, monitors agent session recency and work output volume, tracks RAM and disk usage, and verifies credential completeness across all agents. Generates structured alerts that surface in the dashboard.
"An autonomous system that cannot detect its own failures is not autonomous. It is just unmonitored." — Simon, Operations
Runs targeted web searches across 5 topic areas, scores results by keyword relevance, deduplicates, and surfaces the top findings as a curated daily digest. Topics rotate between AI ecosystem developments, market signals, product inspiration, solo founder strategies, and regulatory technology.
"The value is not in finding information. It is in filtering the 95% that does not matter and surfacing the 5% that changes how you think." — Alice, Research
Transforms raw culture signals into draft content across multiple platforms. Every draft goes through a review pipeline: agents draft, Laplace reviews, CEO approves. Nothing publishes without human sign-off. Currently producing the first LinkedIn series: "The Build."
"The most compelling content about building with AI is not manufactured thought leadership. It is the documented, real-time story of what actually works and what breaks along the way." — Gio, Creative
Alice monitors hundreds of sources to detect patterns before they become headlines. Here's what the team flagged recently.