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Currently available for select engagements

Hire AI Agent Developer for Entertainment
Senior, direct, no layers

An AI agent developer builds agents that do work, not just answer questions: qualifying inbound enquiries, triaging requests, chasing approvals, and updating your systems, with a human in the loop where stakes are high.

15+
Years Experience
100+
Projects Delivered
6
Countries Served
$25M+
Revenue Enabled
Entertainment — AI Agent Developer

A senior ai agent developer for entertainment companies

Entertainment runs on dates that cannot move. A release, a premiere, a tour on-sale, a festival window: miss the moment and the audience has already moved on to something else. Behind every launch sits a chain of assets, approvals, rights clearances, and distribution partners, and most of it is still coordinated over email threads, spreadsheets, and chat messages that nobody can search afterwards.

The other pressure is fragmentation. A single title now lives on streaming platforms, social feeds, ticketing sites, merch stores, and press outlets at the same time, each with its own format, deadline, and reporting. Teams that handle this by hand spend their weeks re-keying the same information and chasing the same files, instead of doing the creative and commercial work that actually fills seats and sells streams.

An AI agent developer builds agents that do work, not just answer questions: qualifying inbound enquiries, triaging requests, chasing approvals, and updating your systems, with a human in the loop where stakes are high. For entertainment companies, that means the repetitive coordination — intake, follow-up, status chasing — handled reliably around the clock, while your team handles the judgement calls. I am Omer Muneer Qazi, with 15+ years of experience and 100+ projects delivered. Browse the full hire hub for related engagements, or book a free discovery call and we will test the fit before any scope is agreed.

What you get

What this engagement covers for entertainment companies

  • Support and intake agents — agents that answer, qualify, and route from your own docs and systems, escalating to a human on low confidence or high value.
  • Workflow agents — agents that run multi-step operations: triage, data entry, approvals, and follow-ups across the tools you already use.
  • Grounded in your content — retrieval over your docs, policies, and catalogues, so answers cite your sources instead of inventing them.
  • Tool use and guardrails — function calling with permissions, rate limits, and refusal rules, so an agent can act without acting recklessly.
  • Evaluation before launch — test sets built from real conversations and real cases, scored for accuracy and escalation quality before anything goes live.
  • Observability and handover — conversation logs, cost tracking, and failure review, so the agent improves weekly instead of drifting.
Working in Entertainment

Built for how entertainment companies actually work

Tools and systems. The tooling in entertainment is specific, and any build has to respect it rather than replace it. Post-production teams review cuts in Frame.io and cut in Adobe Premiere Pro or DaVinci Resolve; production coordinators track schedules and deliverables in Asana or Airtable; assets move through Dropbox or Google Drive; music and audio work runs through Avid Pro Tools; ticketing and box-office data comes from the venue or promoter's own platform. A new system earns its place only when it connects to this stack instead of asking a team on deadline to learn a different one.

Where the work pays off. What that means in practice: the work that pays off is unglamorous and operational. A single source of truth for release assets and approvals, so nobody ships the wrong trailer cut. Automated distribution of the right file to the right platform in the right spec. A fan database that is actually usable for the next on-sale instead of a pile of exports. Ticketing, merch, and streaming numbers reported in one place so a launch week can be judged on evidence, not gut feel. The creative work stays human; the coordination around it is where technology earns its keep.

How it works

From kickoff to delivery

  1. Pick one job

    One agent, one job, one success metric, chosen from where your team actually spends hours on coordination.

  2. Connect your data and tools

    Wire docs, CRM, and ticketing, set guardrails and escalation rules, and define the human handoff.

  3. Evaluate and harden

    Run the test set, fix the failures, and prove accuracy and cost per conversation before launch.

  4. Launch in slices

    Go live to a portion of traffic, review logs weekly, and expand scope only on evidence.

Why Omer

Why hire Omer

  • Senior-only delivery: one person owns the ai agent developer work, its integrations, and its handover.
  • Built for production, not demos: permissions, monitoring, and documentation from day one.
  • Direct communication: no account-manager layer between you and the person doing the work.
  • Measured on outcomes: agreed metrics reviewed regularly, with scope adjusted on evidence.
  • No lock-in: your code, your data, your accounts, documented for handover.
FAQ

Questions, answered

Do you understand rights and embargoes?
Yes. Release work is built around embargo dates, territory restrictions, and approval chains: assets stay gated until the right person signs off, and distribution is scheduled rather than sent by hand. Nothing goes public because someone forwarded the wrong file.
Can you work with our post-production and distribution stack?
Yes. Builds connect to the tools already in use — Frame.io for review, Asana or Airtable for tracking, Dropbox or Google Drive for assets, and the ticketing or streaming platform's own reporting — rather than forcing a rip-and-replace mid-slate.
What about launch-week pressure and live events?
Launch work is planned backwards from the fixed date, with a freeze window before on-sale or premiere and a named escalation path during it. Live-event support is scoped around the event itself: doors, on-sale, and the first 48 hours after, when problems are most expensive.
How is an agent different from a chatbot?
A chatbot answers. An agent acts: it uses tools, follows multi-step rules, and completes work, escalating to a human when confidence is low or stakes are high.
Will it hallucinate to our clients or audiences?
It is constrained to retrieved sources and explicit refusal rules, with escalation on anything uncertain. Evaluation before launch measures exactly this, on your real cases.
Currently available for select engagements

Ready to get started?

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