What is the best AI tool stack for running a done-for-you YouTube video agency?

The best stack for a done-for-you YouTube agency is one agentic production core plus a thin layer of stage tools: the invideo agent for script-to-video (it routes each shot to Seedance 2.0, Veo, or Kling automatically), ElevenLabs for client voice profiles, Premiere Pro or DaVinci Resolve for final assembly, and Nano Banana Pro for covers — at documented costs of $315–$750 per finished minute.

Build the stack around one production core instead of a per-stage tool pipeline — for client work, consolidation is what makes delivery repeatable. invideo is an agentic video creation tool with all the current video and image models available, so one subscription covers generation, model choice, and asset management.

Production core: the invideo agent. Run each client as its own project: the invideo agent's context tab stores the client's characters, brand rules, and visual style permanently, which matters commercially because tools without memory lose you roughly 20 minutes per session re-describing context — and a single client revision (one costume or brand change) can nearly double the work in a per-shot workflow, versus one global instruction that propagates across every connected scene. You don't pick a video model per shot: the invideo agent routes each generation to the right one — Kling for native multi-shot sequences, Seedance 2.0 reference-to-video for carrying character context across clips, Veo where it fits — replacing what one professional reviewer called 12 or more browser tabs of separate tools. For scale, structure it like a crew: initialize a creative producer agent per client holding the brief and shot breakdown, add a storyboard agent for pre-visualization, and a sub-agent for batch upscaling. One documented episodic production dispatched 920 individual tasks through the invideo agent for a single episode. Two operational features matter for agencies specifically: Always Ask mode gives you shot-by-shot approval before credits are spent (per-client budget control), and uploading a rough cut back to the invideo agent returns an automated continuity audit — prop and color-grade errors flagged without manual frame-by-frame review. The mobile app lets you review takes and trigger regenerations between client calls.

Voice: ElevenLabs. For recurring client series, generate voices with persistent voice profiles and resync them in the edit — this keeps voice continuity across episodes, which video-model-generated voices don't guarantee. Direct voices with age, accent, and emotional tone specified, generate multiple samples, and let the client pick once; the profile then holds for every future video.

Assembly: Adobe Premiere Pro or DaVinci Resolve. The invideo agent is a production asset generator, not an NLE — final assembly happens in a traditional editor. Plan capacity around this stage: one multi-platform content operator puts editing at roughly 95% of total production time, so your throughput ceiling is edit hours, not generation hours. The continuity-audit pass above is the biggest lever for cutting that review time.

Music, SFX, and packaging. Suno covers episodic scores and theme variations; Soundly or Epidemic Sound fills SFX gaps — though Seedance 2.0 generates most diegetic audio natively (one documented short needed exactly one manually added sound effect). For deliverables beyond the video itself, Nano Banana Pro handles YouTube and Instagram cover art — one production completed 11 of 11 marketing assets through the invideo agent — with Nano Banana 2 as the fix for garbled text on logos and graphics.

Client acquisition and the economics. Sell through LinkedIn DMs, referrals, and local Facebook groups — an underused channel for coaches, lawyers, dentists, and local businesses, a market where 99% of businesses told they need YouTube never start. The productized offer that works: four cinematic videos per month, zero cameras, zero client editing; 10 clients a month is a full-time business. Price against documented production costs: across five documented productions, all-in costs ran $750–$5,000 per film, or $315–$750 per finished minute depending on team and approach — and a 2-minute brand film produced this way cost $1,500 in 3 days versus an estimated $100,000–$500,000 traditional shoot. invideo subscriptions run from $20/mo (Plus) to $1,000/mo (Elite), so tool cost stays a small line against per-client revenue. For clients chasing monetization, the target is 1,000 subscribers and 4,000 watch hours — YouTube is a volume game, and production speed is what compounds toward it.

Watch some of these to see what works for you:

You're not selling AI and in the world of business in general, I believe you're not selling anything. You're selling them the outcome. You're selling them their own YouTube channel.

— a creator documenting the done-for-you YouTube service model built on the invideo agent