Swapnil Somal

Hey PH community! Sharing what we're building at Phinite.

The problem: 95% of enterprise AI agent pilots never reach production. Not because the AI doesn't work, but because the infrastructure underneath breaks. Integration plumbing, compliance gaps, zero observability into agent decisions, and no coordination between agents.

We talk to engineering teams every week who built amazing agent prototypes but hit a wall going to production. The top blockers we keep hearing:

1. integration plumbing eating 80% of eng time

2. no observability into agent decisions

3. compliance bolted on as an afterthought

4. agent-to-agent coordination held together with duct tape.

What's the biggest blocker for your team? Curious if others are seeing the same patterns.

Hi folks,

I ve been spending a lot of time on Discord and Reddit helping people who are trying to add AI chat to their no/low-code apps.

What keeps coming up is that the setup is way more fragile than it looks.

It s usually not the model itself it s everything around it:
conversation state, memory, retries, edge cases.
Vibe-coding works for demos, but once people try to ship something real, things start breaking.