Polsia pushes autonomy about as far as it goes. Give it a goal and it sets up servers, writes code, runs ad campaigns, and works your inbox while you sleep, then emails you a summary in the morning. If you're a solo founder who would rather hand an AI the keys than steer it step by step, that's the point of the whole thing.
That changes the moment real money or other people are involved. An agent that can spend on ads and change production systems without anyone signing off is also an agent that nobody reviewed. If you report to a finance team or sit through audits, running on trust alone stops being an option. You need to see what the automation actually did, and you need a way to stop it before the risky step runs. That's where Polsia and General Input go separate ways.
How they compare
| General Input | Polsia | |
|---|---|---|
| Build automations from a natural language prompt | ||
| Runs autonomously 24/7 | ||
| Human approval gates before sensitive actions | ||
| Complete, exportable audit log of every run | ||
| Every credential access recorded | ||
| Credentials encrypted, isolated from the AI model | ||
| Role-based access control for teams | ||
| Sandboxed, isolated execution | ||
| Deterministic, reproducible runs | ||
| Per-execution cost transparency | ||
| Self-hosted / on-prem deployment |
When to use Polsia
Polsia is built for one person who wants to run a venture with as little hands-on work as possible. If you're testing ideas on your own, you're happy to let the agent make its own calls, and you care more about speed than control, there's nothing quite like it. It really will keep working overnight and have something to show you by morning.
When to use General Input
General Input is for teams that want autonomous workflows they can actually govern.
- Approval gates where they matter. A workflow pauses and waits for a person before it emails a customer or spends money. You decide which steps run on their own and which need sign-off, instead of finding out after the fact that something went wrong overnight.
- A trail you can actually follow. Every run is recorded with its inputs, outputs, timing, and cost, and each use of a credential is logged on its own. When finance or a customer asks what happened, you export the history to CSV.
- Credentials the model never sees. Secrets are encrypted at rest and handed to an isolated sandbox at run time, never placed in the AI's context. The model can't leak a key it was never given.
- Permissions for an actual team. Roles at the org, workflow, and credential level decide who can view, run, edit, or share. Polsia assumes one account acting on your behalf.
- Your infrastructure if you want it. Run General Input in your own cloud or on-prem when data residency or an air-gapped network is a requirement. Polsia is hosted only.
Better together
If you like turning an agent loose on throwaway experiments, Polsia is great for that. Once an automation touches real customers or money you're accountable for, General Input gives you the same hands-off feel with the approvals and audit trail a serious operation needs.