How I Actually Make AI Video In 2026

Last week I made a finished thirty-second product clip in one afternoon. Six shots, three different models, native synced audio, no post-production for sound. A year ago that wasn’t possible. The clips topped out at five seconds with melting fingers and physics that didn’t work. No model generated audio in the same pass as the visuals. Characters drifted shot to shot. You couldn’t ship the result anywhere serious.

By April 2026 the floor moved. Sora 2, Veo 3.1, Kling 3.0, and Seedance 2.0 all landed in the last six months. Clips run up to fifteen seconds at native 4K. Four of the six major models now bake audio in at the same step as the visuals. Two of them generate coherent multi-shot sequences from a single prompt: describe a fifteen-second mini-scene with consistent characters, get it back in one render.

I work out of Easemate because it puts almost every major model on one credit pool, which matters because you’ll switch models per shot. The trick to using a hub like that well is pick the cheapest model that’s good enough for the shot. Don’t burn two hundred credits on a Veo hero shot when a twenty-five-credit Seedance Lite render would do. Plan, generate, assemble. Most beginners burn credits brute-forcing the generate step instead of planning the shots first.

Which model for which shot

You don’t pick one model. You pick a rotation. The 2026 workflow is multi-model, each shot routed to whichever tool is best at it. Here’s the rotation I keep coming back to.

Hero shots and the final beat. The one or two shots that have to land. Reach for Veo 3.1 if there’s dialogue or lip-sync, Sora 2 if there’s complex physics or crowd motion, Kling 3.0 if you need native 4K or a multi-shot sequence. These cost real credits, so you only burn them on shots you’ve already locked composition for.

The workhorse, eighty percent of the clips. Seedance 2.0 Pro. Six aspect ratios, first-plus-last frame, multimodal references, native synced audio, multi-shot. If I had to pick one model and delete the rest, this is it. The biggest shift from a year ago is that Seedance 2.0 collapsed the gap between cheap workhorse and premium hero model. Most of my recent work runs on Seedance Pro for the whole piece, with Veo, Sora, or Kling only on the shots that need their specific strength.

Cheap iteration and B-roll. Seedance 2.0 Lite or Hailuo 02. Pennies per render. Use these for testing composition, motion-only shots with no faces, anything where the bar is “looks fine, don’t think about it.”

Stylized or non-realistic looks. Runway or Luma. They don’t try to be photoreal and that’s a feature, not a flaw.

Talking head on a budget. PixVerse v4. Gets you eighty percent of Veo for a fraction of the cost. If lip-sync quality has to be perfect, pay for Veo. If it just has to be plausible, PixVerse.

The cost ladder, cheapest to most expensive: LTX → Seedance Lite → Pika → Wan → Hailuo → PixVerse → Seedance Pro → Kling → Runway → Sora 2 → Veo 3.1.

Translation: test cheap, render the keepers expensive. The first generation is a slot machine. Don’t pull the lever with premium credits.

The trick most people miss: image first

For each shot, generate a still image first (Midjourney, Flux, Imagen, Ideogram), compose the frame exactly the way you want it, then feed it into the video model as the starting frame. Image-to-video gives you art direction. Text-to-video gives you a slot machine. Your characters look the same across shots because the same still seeded each clip, iteration is cheap because re-rolling a still costs a fraction of a video render, and you’re locking composition before motion enters the picture.

The gotcha: match the still’s aspect ratio AND resolution to the target video output. Want 1080p vertical, the starting still needs to be at least 1080 by 1920. Mismatched ratios force the model to crop or hallucinate, and it shows immediately.

How to make clips longer than five seconds

Three options, in order of how much you’ve shipped.

Last-frame chain. Generate clip A, export its last frame as a still, use that frame as the starting image for clip B. Cut them together in your editor and the seam disappears. Chain three or four of these to build a twenty- or thirty-second continuous shot. Works on any model that takes a starting image.

Native first-plus-last frame. Seedance 2.0, Kling 3.0, Hailuo 02, Wan 2.6, and Luma let you supply both endpoints and interpolate the motion between them. More reliable than chaining because the model knows where it’s headed. Use this when you want a single coherent move with a known ending.

Multi-shot generation. Kling 3.0 and Seedance 2.0 take one prompt describing a sequence of shots and return a fifteen-second mini-scene with characters, lighting, and wardrobe locked across the whole thing. Use it when shots share characters and you want zero drift. Skip it when you want manual control over each shot’s pacing. Graduate to multi-shot once you’ve shipped enough chained pieces to know what you’d ask for.

Aspect ratio, picked once

Pick the shape of your final video before you generate anything. 9:16 for Reels / TikTok / Shorts. 16:9 for YouTube and websites. 1:1 for feed posts. 21:9 for cinematic letterbox (Seedance 2.0). 4:3 or 3:4 for retro/editorial (also Seedance 2.0). Setting is per-generation, every clip has to match — mixing 16:9 into a 9:16 timeline means black bars or a crop that kills your composition. It’s the number-one thing people forget.

Stitching it together

Once you have your clips you need an editor. CapCut if your output is social and you want to move fast. DaVinci Resolve if you want pro-grade color and audio without the Adobe tax. Premiere Pro if you’re producing client work that’ll get reused. Trim the heads and tails — AI clips often have a half-second of weirdness at one end. Add music or voiceover, burn in captions because most people watch muted, color grade to unify, export 1080p minimum.

A worked example

Say you want a thirty-second vertical ad for a coffee brand. Six shots, five seconds each.

Hands grinding beans, espresso pour, steam rising. Three motion-heavy close-up shots with no faces. I’d render those on Seedance 2.0 Lite or Hailuo 02. Cheap, reliable, the visual quality holds up because nothing on screen demands premium motion modeling.

Person taking the first sip, the smile. Two shots with people and expressions and possibly a voiceover. Veo 3.1 for the close-up if I want serious lip-sync, Seedance 2.0 Pro if budget matters more.

Product hero shot with the logo, the wow beat at the end. Sora 2 or Kling 3.0 for max fidelity. Kling if I want it native 4K.

All set to 9:16. All five seconds. For the first two shots I’d use Seedance 2.0’s first-frame plus last-frame mode, generate a start still and an end still, let the model interpolate the motion. Smoother than chaining.

Drop into CapCut. Trim each clip to about four and a half seconds to leave breathing room. Add a music bed and a tail voiceover line. Burn in large high-contrast captions. Export 1080 by 1920, H.264, around fifteen megabits.

Total time once you’re practiced: two to four hours. Total credits: depends on re-rolls, but budget for two to three times what you think.

Mistakes I watch people make every week

• Generating thirty seconds of video before they’ve checked composition. Always still first, animate second.
• Mixing aspect ratios mid-project and discovering it at export.
• Trusting the first generation. AI video is a slot machine. Budget for re-rolls.
• Reaching for the premium model on shot one. Test cheap with Seedance Lite or Hailuo. Render finals expensively.
• Forgetting audio. Most platforms now de-prioritize silent video. Even without voice, add music and ambient sound. Or let Seedance, Veo, or Kling generate it natively.
• Over-relying on text-to-video. It’s the most expensive way to lose control. Image-to-video is almost always better.
• Skipping the editor. Raw AI clips strung together look raw. The editor is where it becomes yours.
• Picking one model and forcing every shot through it. The 2026 workflow is multi-model. Each shot to the tool it’s best at.

Why this matters now

This is the pattern repeating across most of the things AI made cheap. Things that weren’t worth doing got affordable, and the bottleneck moved to taste and judgment. The tools don’t pick which clips matter. They don’t tell you which model fits which shot. They don’t art-direct your stills. The expensive part is no longer the rendering — it’s knowing what to render.

Pick a fifteen-second project on something you actually care about. Set a credit budget under twenty dollars. Storyboard on paper. Make it. Watch it back, write down five things you’d do differently. Make it again. After three or four of those you’ll have the muscle memory. The tools will change every few months; the workflow above won’t.