The architectural gap I'd think about next: what happens when the model isn't confident about a recommendation? Right now it looks like the automation posts results automatically. Most tools treat this as binary — auto-post or require a human click. But there's a useful middle ground where the agent can say "I'm confident on A-C, but flagging D for human review" before posting anything.
Handling that gracefully without bolting on a separate notification system (Slack webhook, email, etc.) is the hard part. Curious how you're thinking about confidence thresholds and escalation paths.