TPS Agentic Operations System
The Producer School runs on ideas the team cannot ship fast enough. Every course drop, preset pack and campaign is assembled by hand while student questions queue up overnight. This proposal wires an agentic operations layer into the existing TPS stack: three AI agents that draft, answer and assemble, with the team reviewing instead of producing from scratch. Launches move in hours instead of days, and students get answers around the clock.
Today content production, student support and marketing all run through the same few people. A launch means rebuilding pages, emails and social assets by hand. Support means answering the same questions about the same lessons, one message at a time, during working hours only.
The brand and the catalog are strong. The bottleneck is purely operational: launch cadence is capped by ops capacity, not by content ideas, and slow response times cost conversions and retention.
Every week the system stays manual, TPS pays twice. First in producer hours spent on copy-paste operations instead of courses and presets. Second in the launches that never happen: campaign ideas that die in the backlog because assembling them costs a week of somebody's time. Students who wait a day for an answer buy less and churn more. None of this shows up as a line item, which is exactly why it compounds.
We build the TPS Agentic Operations System: three agents wired into the tools TPS already uses.
Content agent. Give it a brief and it drafts course announcements, social posts and email copy in the TPS voice, trained on your existing catalog and past campaigns. The team edits and approves; nothing publishes itself.
Support agent. Grounded in actual course material, it answers student questions instantly and around the clock, and escalates anything it is not sure about to the team with full context.
Launch agent. For every course or preset drop it assembles the full campaign kit: landing copy, email sequence and social assets, ready for review in one pass.
The operating rule across all three: agents draft, humans approve. The team keeps final say on everything that reaches a student.
The system runs on the stack we already operate for TPS-adjacent work: TypeScript and Next.js for the application layer, Supabase for data, and the Claude API for the agents themselves. Course content is ingested into a retrieval layer so the support agent answers from real material rather than guesswork. Integrations connect to the existing TPS site, email platform and community channels. Everything ships behind a review workflow: each agent output lands in a queue the team approves, edits or rejects.
Foundation (week 1-2). Stack wiring, course corpus ingestion, agent scaffolding.
Content and support agents live (week 3-4). Both agents running in the review workflow with the team, tuned on real briefs and real student questions.
Launch agent and handover (week 5-6). First agent-assembled launch ships end to end. Team trained, playbooks handed over.
One engagement, one price: EUR 9.500 for the full agentic system. That covers all three agents, the review workflow, corpus ingestion, team training and 30 days of post-launch tuning. No per-seat licenses, no usage markup: the system runs on your accounts and belongs to you.