Why I’m Building AI Tools for Venture Capital
The operational inefficiency in VC is staggering. Here’s how VCOS is automating what nobody wants to do.
Thoughts on AI, engineering, and building venture-backed products.
The operational inefficiency in VC is staggering. Here’s how VCOS is automating what nobody wants to do.
What used to take a team of analysts hours can now be done in seconds. Here is how B:Side Assist brings financial clarity to every small business.
Your AI agents can read your email, browse your docs, and pull from your CRM. Now they can understand your finances too.
The architecture behind B:Side Assist’s AI agent, from reasoning loops to deterministic model fallback, and every hard tradeoff in between.
Buildings produce 42% of yearly CO2 emissions, and the people managing them are buried in dashboards they never open. Here is how GrydAI changes that.
Everyone is shipping AI-generated code to production. Almost nobody is testing it for vulnerabilities. That gap is about to become very expensive.
Private credit hit $2 trillion in AUM and deployed $592 billion last year. The teams managing it are still manually spreading financials and discovering covenant breaches a month after they happen.