AI Model Best Practices in 2026 (and What to Stop Doing)
Short answer: prompt controls are model- and surface-specific. Use a separate negative field only where it is documented, treat "8K / masterpiece" as descriptive words rather than technical switches, and use the model's reference controls when identity matters. This produces a workflow you can test instead of relying on folklore.
This is the practical playbook GoldenPrompts bakes into every prompt it builds. Here it is in plain terms.
1. Pick a current model — and tell the tool which one
Models move fast. In our app the "Optimize for / Export for" panel lets you pick the model you use, and the engine tailors the wording and documented syntax. Current first-party sources list these model families:
- Image: Nano Banana Pro (Gemini 3 Pro Image), Nano Banana 2, GPT Image 2, Seedream 5.0 Lite, FLUX.2, Ideogram 4.0 and Midjourney V8.1.
- Video: Veo 3.1, Kling 3.0, Runway Gen-4.5, Seedance 2.0, Hailuo 2.3, Wan 2.2.
- ⚠️ Sora is in migration mode: its web/app experiences ended April 26, 2026, and its API is scheduled to end September 24, 2026. See AI video generators in 2026.
2. Negative prompts: only for some models
A negative prompt can mean either a dedicated negative field or a plain-language exclusion. Those are not interchangeable. Use a dedicated field only when the exact interface or API documents it; Midjourney's --no parameter is one documented example.
When a first-party surface does not expose a separate negative control, write the exclusion directly in the instruction—for example, "show the empty room with no people"—and keep the desired scene explicit. GoldenPrompts omits a separate negative block unless the selected export target supports it. Full detail: Negative prompts explained.
3. Drop "8K, masterpiece, ultra-detailed"
Those words do not guarantee a particular resolution or quality. Use concrete, testable direction instead—and request an explicit output size in the model controls when the surface supports it:
- Lens + aperture: "85mm f/1.4", "24mm tilt-shift".
- Light (direction + Kelvin): "soft window light from the upper-left, 5600K".
- Real materials: "honed marble, light oak, brushed brass".
- Film look: "Kodak Portra 400, natural grain".
Those describe an image the model can actually render; buzzwords describe nothing.
4. Even a short prompt should be complete
Prompt length (short / medium / long) adds optional modules — but the key quality modules (Lighting, Camera, Composition, and for real estate also Space and Style) stay on at every length, even in a short prompt. And when you copy, the app warns you if you've switched off an important module, so a prompt is never left half-empty. See how to write AI prompts for the full anatomy.
5. Consistent identity = reference images
Want the same face, character or property across several shots? Use the model's documented reference-image or ingredient controls, keep one approved reference set, and reuse the same identity brief. Current reference limits vary by product surface and plan. Two deep-dives: how to make a reference photo and keep an AI character consistent.
6. Video: audio and motion right in the prompt
Models like Veo 3.1, Kling 3.0 and Hailuo 2.3 can generate synchronized audio together with the video. And remember — a static description of the motion (dolly in, orbit, drone) tells the model how the camera should move; keep the geometry consistent across shots (no "morphing" walls). More in multi-shot video prompts.
At a glance: what helps, what to skip
| Technique | Helps on | Skip on |
|---|---|---|
| Separate negative field | Interfaces that explicitly document it; Midjourney --no | Any surface without a documented negative control |
| "8K / masterpiece / ultra-detailed" boosters | Only when your chosen workflow proves they help | As a substitute for explicit size, light and composition |
| Reference images for identity | Nano Banana Pro, GPT Image 2, Veo 3.1, Kling 3.0 | — (use them whenever consistency matters) |
| Named lens, Kelvin, film stock, materials | Every model — this is the upgrade over buzzwords | — |
FAQ
Should I use a negative prompt in 2026?
Use a separate negative field only when the exact model interface or API documents one—Midjourney's --no parameter is one documented example. Otherwise put the exclusion in a clear natural-language instruction and test it on the surface you actually use.
Do 8K, masterpiece and ultra-detailed still work?
They are not portable controls and do not guarantee resolution or quality. Concrete direction—a lens and framing choice, light direction, real materials and an explicit output size where supported—is easier to test and reproduce.
Is Sora still worth using?
Not for new long-term workflows. OpenAI discontinued the Sora web and app experiences on April 26, 2026, and says the API will be discontinued on September 24, 2026. Choose an actively supported video model for new work.
Which AI models are current in 2026?
First-party sources currently document image families including Nano Banana Pro and 2, GPT Image 2, Seedream 5.0 Lite, FLUX.2, Ideogram 4.0 and Midjourney V8.1; and video families including Veo 3.1, Kling 3.0, Runway Gen-4.5, Seedance 2.0, Hailuo 2.3 and Wan 2.2. Availability varies by region, plan and provider.
How do I keep the same face or character across images?
Use the model's documented reference-image or ingredient controls, keep one approved reference set, and reuse the same identity brief. Reference limits vary by model, plan and product surface, so check the current first-party documentation rather than relying on a fixed number.
Which video models generate synchronized audio?
Veo 3.1, Kling 3.0 and Hailuo 2.3 can produce dialogue, ambience and music inside a single generation. Add the audio cue directly in the prompt.
Want a prompt that already follows all of this? GoldenPrompts builds a studio-grade prompt with export-target-aware controls, concrete photographic direction and reference handling for current image and video models. Free to start: 24 hours of everything, no card.