Context

I work on a product called P4 DAM. It is a digital asset manager for game and film studios. For a long time the product work was about serving the customers we already had, and making the product easier to live with. Then the business shifted. In the AI era, bringing in new customers became the job. New acquisitions were the priority, because AI changed how quickly a decent competitor could improve their own product.

The obvious place to look was onboarding. That is where, to my eye, the product was lacking. And that is where the sales pipeline actually starts.

We already had the research: interviews, win/loss, customer notes, competitor work, and the old personas. I had already built an agentic system that could run against that material. Fable 5 coming out is what opened the door. Those research methods, plus the agents, plus that model, gave me a way to use it properly and build the right design for the job.

Persona

The personas we had were not that useful. They were outdated, and they described people who might use the product. They did not describe the person who decides who buys it. In this case, that person is a studio manager.

I built an agentic research system around Fable 5, with multiple agents doing different jobs at once. It looked at internal evidence, web research, persona authors, the existing design, wireframes, a sample project, and the asset sourcing for that sample project. Each agent ran on a different model, Opus or Sonnet, depending on what the job needed and what the token spend was worth.

AgentJob
Internal evidenceThe company’s own written record: competitive guide, customer notes, discovery scans, win/loss, sales material.
Web researchJob postings, practitioner interviews, industry surveys, outsourcing and review-workflow guides.
Persona authorWrote a buying persona for a studio manager, with a citation on every claim.
Existing designReviewed the live onboarding and the wireframes as that buyer, and listed what had to change.
Sample projectFolder and bundle structure for a demo project a buyer could actually explore.
Asset sourcingWhere the demo art comes from, and the licensing constraints on each route.
Competitor analysisA capability matrix across eight of the main competitors.

The matrix itself I cannot share. It is confidential. The conclusion was that we needed a trial experience where someone could see the full capability of the product without sitting through the lengthy configuration that comes with a Perforce product.

Design

The new design was built using a Claude plugin I designed, called the Unified Workflow Plugin. It pulls from a lot of sources. There is a design-system MCP server with the components, the layout rules, and the branding. It takes that, plus the evidence and the output from the Fable 5 workflow, and turns it into a generated UI.

It is expensive. But if the context is good enough, what comes out needs very few tweaks. Something that is almost ready to go once the workflow finishes.

“It makes the self-serve impression far more meaningful, and it is needed.”

“It made the job a lot easier, and opened up conversations we did not have a way into before.”

The quotes are paraphrased from a sales call and reviewed for accuracy.

Outcome

Sales now has a persona-driven trial experience. Prospects see the product through the work they care about, and sellers have somewhere credible to send someone after a first demo call. Sales opportunities increased, and sales said it made their job a lot easier.

The bigger part of it is the workflow. A frontier model, agents, Claude Code, MCP servers, a design system, and a workflow plugin I designed, used together to generate UI that increased sales.