Platform
A prompt queue for serious AI software delivery
Queue the next prompt — and the ten after it — while the current build runs. Sequence AI work like a backlog instead of babysitting a chat window.
The Ciao prompt queue lets you queue prompts while builds run, so AI work is sequenced like a backlog instead of typed one message at a time. Unlike single-prompt chat tools that make you wait for each build before thinking ahead, the queue captures ideas as they occur, runs them in order, and turns each one into a reviewable change on a real git branch.
Published 2026-07-03 · Last updated 2026-07-03
Your ideas arrive faster than any build can finish
Anyone who has built with AI knows the rhythm: you send a prompt, the build starts, and while you wait, three better ideas show up. In a single-threaded chat, those ideas go into a notes file, a sticky note, or nowhere. By the time the build finishes, you have forgotten half of them and lost the ordering logic behind the rest.
The Ciao prompt queue lets you keep thinking at your own speed. Queue the next prompt — and the ten after that — while the current build runs. The Builder works through them in order, each one a real change on a real branch, and you review results as they land instead of standing guard over a conversation.
This matters more as projects multiply. A team running dozens of applications cannot afford a workflow where every improvement requires a person sitting synchronously in a chat. Queued work turns spare thinking time into shipped changes.
How the prompt queue works
Queueing is deliberately unceremonious — the point is to capture and order work, not to administer it.
1. Capture prompts as they occur
Add the next request the moment you think of it, even mid-build. Nothing waits on the current job finishing, and nothing gets lost.
2. Order the queue like a backlog
Reorder, edit or remove queued prompts before they run. Foundation work first, polish later — the same discipline you would apply to any sprint.
3. Builds run in sequence
The Builder works through the queue one prompt at a time. Each queued prompt becomes a build with its own diff and checkpoint on branch-native git.
4. Review results as they land
Check each change in the live preview and its diff. The app runs beside the chat the whole time, so verification is a glance, not a deploy.
5. Adjust the plan mid-stream
If an early result changes your thinking, rework the remaining queue. Checkpoints and undo mean no queued experiment is a one-way door.
6. Merge under governance
Queued or not, every change passes Guardrails policy review, QA smoke gates before publish, and lands in the append-only audit trail.
Why it matters
The queue changes AI building from a conversation into a managed flow of work. A feedback round with a client becomes an ordered punch list. An evening of founder energy becomes a sequence of builds you review over coffee. The output of a session starts to look like a sprint, not a transcript.
It also protects the scarcest resource in AI-assisted engineering: your attention. Instead of context-switching between thinking and waiting, you front-load the thinking, let the builds run, and spend your review time on diffs and previews — where judgment actually matters.
And because each queued prompt becomes a discrete change with its own diff, review quality goes up rather than down: you judge a series of small, well-scoped changes instead of one tangled session.
Who uses the prompt queue
- Founders — Batch a whole evening of product ideas and review the results as a set, instead of losing hours to wait states.
- Agencies — Turn a client's feedback email into an ordered queue and clear the entire round in one pass.
- Product managers — Convert stakeholder review notes into sequenced changes without writing a single ticket.
- Teams running fleets — Pair queued work in the Builder with Conductor's one-screen view across hundreds of projects.
Security and governance notes
- ✓ Every queued prompt is recorded in the append-only audit trail alongside merges and deploys.
- ✓ Each queued change runs on a branch with its own diff and checkpoint — nothing lands invisibly.
- ✓ Guardrails applies plain-English policies to every change, queued or interactive.
- ✓ QA smoke gates run before publish regardless of how the prompt entered the system.
- ✓ Role-based access control governs who can queue, review and merge work in a workspace.
A chat thread vs the Ciao prompt queue
The difference is not typing speed — it is what a working session produces.
| Single-prompt chat | Ciao prompt queue | |
|---|---|---|
| Capturing ideas | Wait for the build, hope you remember | Queue them the moment they occur |
| Sequencing | Whatever you happen to type next | An ordered backlog you can rework |
| Your time | Held hostage by wait states | Free while builds run in sequence |
| Review | Interleaved with prompting | Batch-review diffs and previews as they land |
| Traceability | Scroll back through the transcript | Each prompt is a recorded change on a branch |
Frequently asked questions
Can I reorder or edit prompts after queueing them?
Yes. Until a queued prompt runs, you can reorder, rewrite or remove it. The queue is meant to be worked like a backlog, not a locked script.
What if an early build changes what a later prompt should say?
Review results as they land and adjust the remaining queue. Because every build creates a checkpoint on a real git branch, you can also restore an earlier state and re-sequence from there.
Do queued changes skip QA or governance?
No. Every change passes the same loop: Guardrails maps it into business areas and applies your policies, QA runs smoke gates before publish, and the append-only audit trail records it — whether the prompt was queued or typed live.
How is this different from just typing prompts faster?
Speed is not the point — sequence is. The queue lets you decide the order work should happen in, front-load your thinking, and use build time for review instead of waiting. It is the difference between running a backlog and racing a chat window.
Is the prompt queue available on self-serve plans?
Yes — it is part of the Builder, and individual builders start self-serve with credits. Serious production programs, where queued work runs across many projects, start at USD 10,000 per year.