Stop nagging the AI.
Tell it what to ship.
Automate is the DreamerOS intent-driven workbench. You describe what you want shipped. The system extracts the intent, checks it against fidelity, drafts the work, and waits for your approval before anything runs. Point first. Approval last. The human is always in the loop.
Included with Pro. No extra setup.
You describe it.
It delivers something slightly wrong.
Here's what actually happens with every other AI tool. You explain what you want. You get back something close. You re-prompt. You get back something else close. Hours go by. The model never tracks what you actually meant. It tracks what you literally typed in the last message.
Re-prompt loops eat your day
Every minor miss becomes a new instruction. The original intent gets diluted. By turn ten, neither of you remembers what you actually wanted.
No checkpoint before execution
Most tools just run. They write the file, send the email, push the change. By the time you notice the drift, the work is already out the door.
That's the real issue. The tools execute on words, not on what the words meant.
Five steps between
your intent and the ship.
You describe what you want once, in your own words. The system translates it, drafts it, checks it, and then stops and waits for you. These are the same five steps the workbench shows you while a run is moving, in the same order, with the same names. You are always step five.
You say it
One block of plain language. Tell it what a good result looks like, not how to do it. Mumble, ramble, change your mind mid-sentence, leave out the obvious. That is expected input, not a mistake. If you would rather be asked than face a blank box, a four-question intake walks you through it instead.
We translate it
Your description gets restructured into a precise, complete request before any model sees it, and scored on three axes. Fidelity asks whether the plan matches what you actually meant. Consequence asks what this will do in the world once it ships. Endgame asks whether it moves you toward the result you said you wanted.
The drafts get made
The work is produced as drafts, never as a live action. Posts, emails, pages, plans, replies, whatever the job called for. Nothing is scheduled, nothing is sent, nothing is published at this stage, no matter how confident the system is about the result.
Everything gets checked
Every draft is re-read against the intent that started the run, before you ever see it. Runs land in a visible state you can read: queued, running, needs your approval, done, failed, cancelled, timed out, expired. A failure says it failed. Nothing is quietly dropped and reported as fine.
You give the go
The drafts and the checks are put in front of you together. Approve, edit, or cancel. Nothing leaves the workbench without your hand on the switch. This is the step other tools skip, and skipping it is why their mistakes reach your customers before they reach you.
Six shipping lanes
tuned for real work.
A recipe is a pre-shaped plan with its own priorities and draft format. Pick the one closest to what you are shipping and describe the job once. You never write a prompt. The outbound steps (posting to social, email, or Google Business) ship as each connector goes live; Connect shows which are live today and which are coming.
Creator Launch
One finished guide becomes a landing page, ten posts, and an email sequence. Drafted, waiting on your go.
Prompt Pack Seller
Describe the pack once and get product page copy, demo posts, carousel scripts, and a launch calendar. Drafted, not sent.
Local Business Visibility
Keep your business current everywhere AI answers about you: offer, blog, Google Business post, Facebook and Instagram, email, website update.
Podcast Episode Repurpose
One episode becomes clip scripts, pull-quote posts, show notes, and a newsletter feature. Drafted, not sent.
Weekly Newsletter Builder
Dump the week in: what shipped, what you learned. Out comes the newsletter draft, subject-line options, and teaser posts.
Event Promo Wave
Give the event once. You get the announcement, the reminder series, the day-of posts, and the follow-up thanks.
None of those the shape of your work? The workbench also ships a library of ready-to-run starts sorted by who you are (just starting, creator, business, power user), covering inbox digests, study plans, lead replies, invoice nudges, support triage, weekly KPI briefings, and more. Pick one and it loads the whole request for you. You can also save your own named play and run it forever.
One mode runs today.
We say so on the page.
The workbench shows four run modes. Exactly one of them executes right now. The other three are visible in the app and clearly marked not live, because a mode you can select but that cannot fire is worse than a mode that is honest about waiting. This table is the same status the app shows you.
Until touchless execution ships, every run pauses for your approval. That is the honest state, and the app enforces it rather than letting you pick a mode that would silently do nothing.
Automate ships
on Pro and above.
Lower tiers can see the workbench. Execution requires Pro or higher because the pipeline runs on the full intent verification stack.
Your goals sit inside
the same pipeline as your work.
Automate is not a task runner in isolation. It sits inside Dreamscape, the goal layer of DreamerOS. Two pieces of that layer are still on their way into the app - marked below the same way the run modes above are, because a feature you cannot reach is not a feature.
Dreamscape Goals
Set goals per Dreamscape domain and have every conversation and every Automate run checked against them automatically. The goal-checking engine is built on the backend; the screen where you set and read your goals is not in the app yet. Until you can use it end to end, it is listed here as what it is: in development.
In development - not live yet
Collision Alerts
When two goals pull against each other, DreamerOS surfaces the collision before you ship work that solves one goal while silently undermining another. The detection logic exists on the backend; the alert surface is not in the app yet. It gets sold as live only once you can see it.
In development - not live yet
Loop Checkpoint
For agentic workflows: a pre-execution check scores each planned action against the original goal and returns a go, hold, or stop verdict. The checkpoint runs before execution, not after. You stay in control at every step.
Available on Pro+
Named workflows for
repeatable, verifiable work.
Automate gives you a blank workbench. The Protocol Library gives you pre-shaped procedures. Each protocol is a named, structured workflow that runs through the full integrity stack. Not a prompt. A complete operating procedure you activate by name.
Knowledge Excavator
Surface what you actually know about a domain. Runs a structured dig through your memories, decisions, and journal entries, then outputs a map of your real expertise versus your assumptions.
Niche Domination
Research, positioning, and content strategy for a specific niche, compressed into a structured pipeline. Intent verified at intake. Every output checked against the goal you defined at the start.
Cold Email Machine
Structured prospecting workflow. Intent verified at every stage. Draft, review, fidelity check, and human approval gate before anything goes out. Ships on your approval, not the model's confidence.
Decision Compression
A major decision, compressed into a structured brief. Assumptions surfaced. Risks named. Second opinions requested from the engines best suited to the question type. Human Conductor makes the final call.
Cognitive Audit
A full review of your thinking patterns across a time period. Principle violations, decision drift, goal collisions, and unfinished threads, surfaced and reported. Know where your thinking has been inconsistent.
All protocols are tier-gated. Pro and above. Available inside the DreamerOS app.
The failure mode nobody else
treats as a failure.
Ask anyone who has run automations at scale what actually goes wrong. It is almost never a loud crash. It is the automation that quietly stops working while the dashboard stays green, and gets discovered days or weeks later by the lead that never got a reply or the invoice that never went out. Automation consultancies write the same post-mortem over and over: a renamed field, an expired token, a rate limit, and no alert, because alerting on failure is usually something you have to remember to configure yourself.
Silence is a bug, not a default
DreamerOS treats a silently swallowed failure as a violation of the system's own rules, not as an edge case you configure around. A run that fails says it failed, in a state you can read, without you having set up a single alert. That is a founding constraint of the whole platform, which is why it applies to Automate rather than being an Automate feature.
Nothing ships on the model's confidence
Most tools execute the moment they are confident. Confidence is exactly what a wrong answer and a right answer have in common. Automate produces drafts and stops, so the review step happens before the work reaches a customer rather than after. Right now that gate is not optional, on any tier, in any mode.
You never write the prompt
Every other tool asks you to get good at describing work to a machine. Here the messy description is the supported input: it gets restructured into a precise request before any model sees it. Nobody has to learn prompt syntax to get a usable draft, and nobody gets a worse result for typing like a person.
Honest about what is not built
Three of the four run modes on this page are marked not live, in the app and here, rather than shown as selectable and quietly doing nothing. A capability is described as live only once a customer can actually use it end to end. Held-back scope gets named, not hidden.
On the silent-failure pattern in mainstream automation tooling, see the practitioner write-ups at lowcode.agency and apex-solved.com.
The tax you are already paying
to fix AI output by hand.
Every number below is from a named study with a sample size. We do not publish a statistic we cannot source, and we do not run invented customer quotes. If a claim is not traceable, it does not go on the page.
per worker, per month
What it costs in time to fix off-target AI output by hand. That is the work Automate is trying to delete: not the drafting, the re-drafting.
Harvard Business Review, 2025
a day, once AI is wired in
Time saved when AI sits inside the tools you already work in instead of in a separate tab. Close to two weeks a year.
UK government study, 20,000 workers
of productive time
What context switching can eat. Every tab-out to a standalone AI tool adds to it, which is why Automate hands work back where you already are.
Context-switching research
of US workers are worried
Worried about AI's future impact on them. The answer to that is not a tool that acts without asking. It is a tool that drafts and waits.
Pew Research, 5,273 adults, Oct 2024
"AI won't take your job. Someone using AI will."
Prof. Richard Baldwin, World Economic Forum, May 2023
DreamerOS exists to make sure that someone is you. You do not have to become a technical person to get there. You need AI that means what you mean, and that shows you the work before it acts on your behalf.
Stop describing.
Start shipping.
Open the workbench. Describe the thing once. Approve the draft. Watch it ship.
Pro is $39.99/mo. Cancel anytime.
Works with your AI
One connection. Every AI tool you already have open.
Connect once. Everything that passes through the middle is checked before it counts as done.
See every AI tool and work surface you can bring
Works with your AI
Bring the tools you already use.
DreamerOS sits beside your AI and your workspace. Nothing to rip out, nothing to relearn.
Already running your own setup? Plug it straight in.
Point any MCP client at DreamerOS, or drop in your own API key and keep your model. Building something? There is a real developer kit: npm install @dreameros/sdk.