Elucidat vs dominKnow | ONE
Zero of fourteen models named Elucidat first on the direct prompt; zero named dominKnow | ONE. Elucidat was named by ten of the fourteen models and dominKnow | ONE by eleven and Elucidat carries 18 labels and dominKnow | ONE 16, so the shares are not directly comparable.
Named in one category this edition.
Named in one category this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the course authoring tools page.
By framing
ElucidatFirst choices, of fourteen modelsdominKnow | ONE
Across every category in the October 2026 Edition, Elucidat and dominKnow | ONE were named in the same answer forty times, of the 83 answers naming Elucidat and the 53 naming dominKnow | ONE. In those answers dominKnow | ONE took the first choice one time and Elucidat two.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | |||||
| GPT-5.4 mini | | | ||||
| Gemini 3.5 Flash | | | | | ||
| Perplexity Sonar | | |||||
| Grok 4.1 Fast | | | ||||
| Mistral Small | | |||||
| DeepSeek V4 Flash | | | ||||
| Llama 4 Maverick | ||||||
| Qwen 3.7 Flash | ||||||
| Kimi K2 | | | ||||
| GLM 4.7 FlashX | | |||||
| MiniMax M2.5 | ||||||
| GPT-6 Luna | | | | |||
| Muse Glimmer 30B | | |
Elucidat dominKnow | ONE first choice named as an alternative argued againstblank: not namedEach cell is one answer, Elucidat on the left and dominKnow | ONE on the right.The direct prompt
Neither was the first choice, one was named
6 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
8 of 14 modelsThe answer made no first choice from these two in this category.Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
Elucidat2%#8 of 11dominKnow | ONE0%#– of 11Elucidat2%#5 of 11dominKnow | ONE2%#6 of 11Elucidat21%#2 of 10dominKnow | ONE5%#5 of 10What the models said about Elucidat
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“Maximum collaboration & governance at scale | Elucidat, dominKnow | ONE” Kimi K2 · scale prompt · first choice
“Use standalone authoring tools (like Articulate, Elucidat, or dominKnow) that allow you to export standards-compliant files” Gemini 3.5 Flash · negative prompt · alternative
“with Elucidat or Easygenerator as alternatives if collaboration, AI, or rapid SME enablement are top priorities” GLM 4.7 FlashX · direct prompt · alternative
What the models said about dominKnow | ONE
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“Maximum collaboration & governance at scale | Elucidat, dominKnow | ONE” Kimi K2 · scale prompt · first choice
“best to evaluate if several authors produce lots of courses that need frequent updates, reuse, localization, or centralized governance” GPT-6 Luna · paraphrase prompt · alternative
“Use standalone authoring tools (like Articulate, Elucidat, or dominKnow) that allow you to export standards-compliant files” Gemini 3.5 Flash · negative prompt · alternative
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.