An agent's day often starts in the inbox. Casting calls arrive in every format: a rushed paragraph, a detailed character breakdown, a pasted PDF. Each one has to be unpacked — how many roles, what ages, what gender, what languages, what dates — before you can even think about talent.
That extraction work is exactly what Castflow automates. You paste the email; the AI returns a clear structure.
From raw text to usable structure
The assistant reads the call and identifies the project, the roles and their criteria. Each role becomes an editable card — gender, age range, languages, traits — that you confirm or correct in a click. Nothing is locked: the AI suggests, you stay in control.
- The project — title, type (ad, film, series), client, key dates.
- The roles — one by one, with structured criteria instead of a wall of text.
- The requirements — playable age, gender, languages, specific skills.
"AI doesn't decide for you. It gives back the minutes you spent unpacking every email."
From role to shortlist
Once the roles are structured, Castflow surfaces the most relevant talent from your roster for each one. You land on a pre-selection instead of a blank page — then refine it using your knowledge of the talent, their availability and the feel of the project.
That continuity is the heart of the tool: the same email becomes a project, roles, a shortlist, then invitations — without re-entering the information at each step.
Built to never block you
An agent can't afford a tool that fails at the worst moment. Under the hood, the analysis runs on several AI models in a fallback chain: if one is unavailable, another takes over. All you see is one thing — it works, every time.
The result: less copy-paste, fewer reading errors, and an agent who spends their time on selection rather than data entry.
