Superhuman supercharges your team — handles the boring, structures the work, automates the mundane, leaving you in charge of taste and judgement. Same team. 10× the work.
For VP Product, CPO, and Heads of Product running 8+ concurrent product cycles.
Now in private beta · Enterprise-grade · Per cycle, not per seat
Cursor writes the code in a day. Briefing the work still takes three weeks. Meetings still consume the calendar. Decisions still get re-litigated. The "AI transformation" landed in your stack — not in your cycle.
Your engineers use Cursor and Copilot. They ship features in days. Your PMs still take three weeks to write the brief. Your designers still wait two weeks for the handoff. The bottleneck didn't disappear when AI arrived — it migrated. From build to spec. From engineering to product.
A PM's day is rephrasing research for design, design for engineering, engineering for marketing. Every handoff means a meeting, loses context, adds a week. The thinking they were hired for is the 10% that survives.
Every engineer got a 10× tool. The PM got a meeting summariser. The designer got better stock photos. Half the product function still runs on the workflow of 2019, while engineering ships at AI speed. The cycle gets jammed exactly where humans hand off.
Why was self-serve killed in Q3? The PM who decided left. The Slack thread is buried. The Notion page is unread. Every new cycle relearns what the last one already knew — at the cost of months.
Not five tools. One system. Agents share context, hand off work, and challenge each other's outputs — across the full product cycle.
The critical differentiator: agents brief each other, challenge each other's outputs, and hand work off without you in the middle.
You define the goal. The agents do the work. Human sign-off at every key decision gate — without the alignment overhead that buries your team in meetings.
Here's how the SMB self-serve onboarding initiative actually flows through the system — from Atlas opening the brief, through discovery, design, engineering, and launch — in one continuous cycle.
When you describe the SMB self-serve initiative, Atlas pulls the Q3 decision log, the churn data, and three years of relevant Slack — then writes a brief grounded in everything your org has already learned. The institutional memory that stays when people leave.
Atlas hands off the SMB self-serve brief. Sage runs a synthetic persona session against a 12-user cohort, surfacing pain points and drop-off patterns — without scheduling a research sprint or waiting on a recruiter.
The handoff in action: Sage's findings arrive in Pixel as structured insights. Pixel maps each pain point to component logic and pushes wireframes directly to your Figma file — fluent in your tokens, your patterns, your conventions.
Compress to 4 progressive steps. Replace CRM step with guided wizard. Make technical setup optional.
Forge receives Pixel's frames and converts them into engineering artifacts — user stories, dependency maps, effort estimates, and technical specs. Reads your codebase to size each story accurately and surface cross-team dependencies. Pushed straight to Linear or Jira.
As the cycle nears ship, Pulse generates launch artifacts — positioning brief, sales enablement, analyst briefing, customer email — directly into your Google Drive. Your PMM reviews and approves instead of writing from scratch.
The product function that used to take a floor of people can run leaner — higher output, faster cycles, and institutional memory that doesn't walk out the door.
Enterprise-grade · Per product cycle · Deployment in 4–6 weeks