More than a few people on your project.

Your experts are backed by AI agent co-workers that research, create, run and report. They expand the work a team can carry while people retain the strategy, quality bar and decisions.

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What the Agent Team does for the work.

Agent activity is scoped by the task, the available tools and permissions. The handoff to an expert matters as much as the generated output.

Research

Turn a question into material worth evaluating.

Starts with: A product brief, audience question and accessible sources.
Produces: Source-backed findings, creative references and proposed directions.
Expert responsibility: Check relevance, source quality and the hypothesis before it becomes a brief.

Create

Turn a direction into reviewable content.

Starts with: An agreed brief, authorized assets and production settings.
Produces: Scripts, content variants and artifacts for review.
Expert responsibility: Choose the creative direction. Review claims, rights and execution before release.

Run

Carry out configured operating work.

Starts with: An approved plan, account scope and enabled tools.
Produces: Operating tasks, scheduling work and available status records.
Expert responsibility: Authorize the publishing scope and handle policy, access or execution exceptions.

Report

Bring the available evidence back to the team.

Starts with: Task artifacts, publication records and source performance data.
Produces: Scoped summaries, evidence gaps and recommendations for the next cycle.
Expert responsibility: Validate the interpretation. Decide what to change, continue or stop.

Continuity comes from a system, not a promise to “automate everything.”

Configured schedules and events can keep repeatable work moving between human decisions. Execution still depends on permissions, connected tools and the operating scope.

Explore the supporting technology

Context carries into the task: Product information, the current brief and accessible assets give agents a defined starting point.
Work returns as artifacts: Drafts, findings and task outputs give the team something concrete to review, discuss and use.
Exceptions remain visible: A failed task, missing access or unresolved approval requires a clear next action. It is not counted as successful delivery.

Our ambition: 100× expert leverage.

An ambition to measure—not a verified result.

We want experts to direct far more quality-controlled work, not spend every hour repeating it.

Reusable assets, parallel execution and faster feedback can increase test coverage. The multiplier must be measured after review, rework and the cost of the whole team are included.

Count useful work. Include its real cost.

Our proposed primary measure is quality-accepted test units per expert hour. A completed test requires agreed variables, traceable assets, review, publication and data from a mature reporting window.

Accepted work, not generated files: Track approved output and successful publication separately. Exclude previews, duplicates and failed jobs.
Human effort and quality: Include every reviewer’s time, revisions, brand errors and exception handling—not just the final approval click.
Coverage and cycle time: Measure comparable variables, active accounts and time from signal to publication. Separate active work from external waiting.
Matched baseline and total cost: Compare work of similar difficulty. Include all human effort, compute, providers and content rights; report the observed result even if it is below the ambition.

We have not established a matched baseline proving 100× leverage. Any future result must state its period, task scope, quality standard and limitations. This is not a promise of 100× speed, revenue or ROI.

Choose a service. Keep a product path.

An Agent Team supports delivery. It does not mean you must buy a managed engagement to access every MuseOn product.

With a managed service: Agree the responsibilities, tools, review process and reporting scope around your UGC Program or AI Creator Matrix.
Through product access: Explore Mel and the other products through their actual entry points. Available actions depend on your account, workspace and configuration.

Explore Mel and product capabilities

Give your growth experts a wider field of action.

Bring the work you need to carry, and the decisions you need to keep. We will define where expert-led, agent-powered delivery fits.

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