You don't configure tasks one at a time. Say in one sentence what you want done and where, and the Campaign lead breaks it into accounts, environments, pacing and assignments, with the open items marked. Nothing goes out to the other digital workers until you approve it.
Just setting the tasks up takes me all morning, and nothing has even started running
Tell it the goal and it drafts the plan. You're editing something that already exists instead of filling in a blank form field by field.
I configure warming, publishing and follow-up separately, and the accounts and environments never line up
The plan assigns accounts, environments, proxies and workers together. An account keeps the same environment and route through every stage, so there's nothing to cross-check by hand.
New hires don't know how to set this up, and we only find out once it's wrong
Task templates and playbooks save configurations that already worked. New hires start from a template and adjust parameters instead of designing from scratch.
A week in, and answering "how's it going" means opening every dashboard one by one
The operations overview puts execution trends, device activity, success rate and failure breakdown side by side. When volume drops, the breakdown shows where.
Plan approval doesn't get skipped. AI breaks the work down fast, but the resource spend, the account risk and the consequences of anything sent outward land on you — so it passes through your hands before it runs.
One sentence covering platforms, account volume, content direction and timing. Or start from an existing task template.
It works out which digital workers take part, which accounts and environments to use, the pacing and the order, then lists the open items and risk flags.
Adjust account counts, pacing, risk appetite and assignments item by item. An unapproved plan consumes no resources and sends nothing outward.
Tasks go to the right digital worker and fire on a scheduled or recurring rule. Every run writes its result to the task log.
If success rates clearly drop, accounts fail in bulk or resources run short, the affected tasks pause and it reports to you. It won't scale up or swap accounts to keep going.
Leaving this step to a person is deliberate. The moment a plan is approved it starts consuming environments, cloud phones and proxy traffic, and it posts from your real accounts — when it goes wrong, the cost is yours, not the AI's. So the Campaign lead takes it as far as "plan ready" and you press the last button.
Describe the goal in plain language and let AI draft the plan. AI can also create one on its own, producing a task draft that waits for confirmation.
Tasks for several digital workers sit on one chain, with the order and dependencies set explicitly.
Save a configuration that worked as a template, then apply it to a new batch and change only what differs. Shareable across the team.
Fix a multi-step sequence into one playbook, parameters and intervals included, so repeat runs behave the same way.
Run at a set time or on a repeating cycle. Set the time zone to stay out of odd hours in the target region.
Send tasks to specific accounts, environments or device groups, with bulk start, pause and retry.
Every run keeps its time, target, result and failure reason, searchable by task or account.
Action trends, device activity, success rate and the success/failure breakdown, all in the operations overview.
The Campaign lead orchestrates; the actual work needs accounts, environments and content. We spell that out so you don't plan against the wrong cost.
The plan sets how many accounts to warm and with which strategy, then dispatches the work to the Account warmer.
The plan provides the schedule and account allocation, and the Publisher posts across platforms at that pace.
The plan names which accounts handle follow-up and which persona they use, and the Conversation agent picks up the conversations that follow.
When leads or topic ideas are needed, the Collector is sent across the 6 platforms first, and the results feed back into the plan.
No, and we wouldn't design it that way. Two points need a person: approving the plan and handling anomalies. Not because the technology can't do it, but because those decisions spend money and post from your real accounts, and they depend on information that lives outside the platform — your budget, your launch date, what this batch of accounts cost you. The AI doesn't have any of that. Day-to-day execution genuinely doesn't need you; the logs and dashboards are enough.
All of it. The workers involved, the account count, which specific accounts, the pacing, the risk appetite and the order are all adjustable, and you can throw the whole thing out and restate the goal. Once edited, save it as a template for next time.
Platforms, account volume, content direction and timing are enough — for example, "warm 20 accounts on Reddit and X, then start posting homeware content once they're ready". Anything missing shows up as an open item in the plan for you to answer; it won't guess on your behalf.
A single failure retries under your retry rule, with the reason written to the task log. If a batch fails repeatedly or the success rate clearly drops, it pauses and reports to you. It won't swap accounts and push through — that usually just makes the problem bigger.
Yes. When plans run in parallel, accounts and environments aren't double-booked, and conflicts are flagged before approval. If resources fall short, the Campaign lead tells you how short rather than starting half the work.
It's controlled by role. Give approval rights to specific members and leave the rest with drafting only. Who approved what, and when, is in the audit log.
A consultant will run plan generation against your platforms, account volume and timing, then quote the resources.