Polsia pushes autonomy about as far as it currently goes. Give it a goal and its nine specialized agents divide up your company: an orchestrator playing CEO and writing the daily plan, agents for social posts, outbound email, customer support, ad spend on Google and Meta, Stripe-synced finance, business planning, competitor research, and code generation that opens pull requests while you sleep. The agents share persistent memory, reach live systems over MCP, and email you a summary in the morning. Investors bought the vision to the tune of $30 million at a $250 million valuation, and the solo-founder success stories are real marketing gold.
The pitch is also the problem. An agent fleet that spends ad budget, emails prospects, ships code, and answers customers, with nobody signing off before any of it, is an arrangement that works right up until it doesn't. There is no approval step in front of the irreversible action, no audit trail an outsider can verify beyond the agents' own memory, no roles for a second human, and no way to run any of it on infrastructure you control. For a solo founder testing throwaway ideas, that trade can be rational. The moment real customers, real budgets, or a finance team enter the picture, "trust the agents" stops being a governance model.
General Input's position: you can have the 24/7 autonomy without giving up the controls. Agents run around the clock here too, but sensitive steps pause for human approval, every run is logged with inputs, outputs, timing, and exact cost, credentials are firewalled to only the operations each workflow needs, and the whole platform can deploy on-prem.
What Polsia does well
- Ambition made concrete. Nine coordinating agents covering plan, build, market, support, and books is the most complete "AI runs the company" implementation shipping today.
- Genuinely hands-off. It really does work overnight and show you a summary in the morning, and for idea-stage experiments that speed is intoxicating.
- Persistent shared memory. Agents keep context across tasks and days, so the fleet's output compounds instead of resetting.
- A vision worth taking seriously. Autonomy at this level is where the industry is heading; Polsia is simply early, and unapologetic about it.
How they compare
| General Input | Polsia | |
|---|---|---|
| Build automations from natural language | ||
| Runs autonomously 24/7 | ||
| Human approval gates before sensitive actionsGeneral Input pauses the run until a person signs off. Polsia reports after the fact. | ||
| Reviewable workflow before deploymentGeneral Input produces a structured workflow you inspect first. Polsia agents decide their approach live. | ||
| Complete, exportable audit log of every run | ||
| Least-privilege credential scopingAgent Firewall limits each credential to specific operations, enforced outside the model. | ||
| Credentials isolated from model context | ||
| Role-based access control for teams | ||
| Deterministic, reproducible runsGeneral Input code workflows run identically every time. Agents with shared evolving memory cannot. | ||
| Per-run cost transparency | ||
| Model choiceTwo dozen models from nine labs, your keys, or your subscriptions via Token Tunnel. | ||
| Self-hosted / on-prem deployment |
Where they differ
The approval gate is the product
The difference between "an agent emailed 400 prospects overnight" as a win or a crisis is whether anyone approved the list and the message. General Input lets you draw that line per workflow: enrichment runs free, anything customer-facing or money-moving pauses at an approval gate until a person clicks yes, with the full context in front of them. Polsia's model is trust-then-summary: you find out what the fleet did when it tells you. Autonomy you can scope is autonomy you can actually deploy.
Evidence vs. memory
When finance asks what the automation spent, or a customer asks why they were emailed, General Input answers with records: every run logged with inputs, outputs, timing, tool calls, and exact cost, every credential use recorded, all exportable. Polsia's agents remember what they did, but an agent's memory is not an audit trail, and "the orchestrator's summary said so" does not survive contact with an auditor.
Blast radius engineering
General Input assumes any model can be confused or manipulated, and engineers accordingly: credentials never enter model context, and the Agent Firewall scopes each credential to the specific operations its workflow needs, read-only, write-only, or a single endpoint, enforced at the platform layer. A prompt-injected agent cannot call what it was never given. Polsia's agents hold broad access to your ad accounts, inbox, Stripe, and repos, because broad access is what "runs your company" requires.
One account vs. an organization
Polsia is built around one operator and their fleet. General Input is built for the org chart: workspace roles decide who can view, run, edit, or share each workflow and credential, teammates collaborate on the same automations, and analytics show who runs what and what it costs. Businesses have more than one human; the platform should too.
When to use Polsia
Use Polsia when you are one person, the venture is an experiment, and speed matters more than control: idea-stage products, spin-up-and-see side projects, and ventures where the worst-case outcome is a lesson rather than a liability. At that job, nothing else is quite as hands-off.
When to use General Input
- Real customers or real money are in the loop. Approval gates before the irreversible steps, and a record of everything after them.
- More than one person is accountable. Roles, shared workflows and credentials, and an audit trail an outsider can verify.
- Autonomy needs a perimeter. Credential firewalling and reviewable workflows keep the blast radius of a bad run bounded.
- Costs must be attributable. Exact per-run pricing at a published credit rate ($25 buys 4,000), not a monthly surprise.
- Infrastructure is a constraint. On-prem deployment, your own model keys, or your own subscriptions via Token Tunnel.
FAQs
Can General Input run something as autonomous as Polsia?
Yes. Agents run 24/7 on schedules, webhooks, and events, chain workflows and skills, and act across 500+ integrations. The difference is that you choose where autonomy ends: which steps run free and which wait for a human.
Isn't approval friction the whole thing Polsia eliminates?
Approvals are per-step, not per-run: a workflow can do fifty autonomous things and pause once, before the email sends or the budget moves. Most teams find that one pause is the difference between piloting AI and prohibiting it.
We started on Polsia. Can we move?
Yes. Describe each agent's job in General Input's builder and review the workflows it produces. The rebuilt versions gain approval gates, per-run costs, and firewalled credentials, which is usually what prompted the move.
The bottom line
Polsia is a glimpse of full autonomy, and a fine playground for ventures where nobody gets hurt. General Input is where autonomous operations meet accountability: the same always-on agents, wrapped in the approvals, audit trail, permissions, and deployment control that let a real business say yes.