Miles Anthony

One thing I've noticed is that people often look for an "AI governance tool" as if governance is a single category.

In practice, it usually looks more like a stack. Different controls solve different problems, and most teams end up combining several of them as AI agents move from experiments into production.

1. Model Monitoring

This is the layer that helps teams understand how AI systems behave over time. Performance drift, unusual activity, reliability issues, and changing usage patterns tend to show up here first.

From what I am seeing across communities, here is what the tool stack looks like right now.

The Core Stack

Email & Capture: Mailchimp for launch updates and email sequences . Carrd for quick, clean launch-specific landing pages . Pre-launch tools like LaunchBuddy and Prefundia to build a waitlist and gather early feedback before you even hit the Product Hunt button .

Social & Scheduling: Buffer or Hootsuite to keep a consistent presence across X, LinkedIn, and Threads without it taking over your entire day . Canva for generating graphics that do not look like you threw them together in five minutes .

I'll be honest I've never liked the feeling that someone "owns" me.

So being employed was very distant to me. [As if I had no power over my income.]