Custom language prompts in Aimogen give you explicit control over how language is handled, without relying on automatic detection or hidden logic. They exist for one reason: sometimes language behavior must be dictated precisely, not inferred from context.
Aimogen never assumes intent. Custom language prompts are how you state it.
Custom language prompts are simply instructions that define language behavior. They tell the AI which language to use, how to use it, and how strictly to stay within it. They can be used in content generation, AI Content Editing, chatbots, workflows, assistants, and REST-based execution. Wherever Aimogen accepts instructions, language can be controlled explicitly.
This matters because language context alone is not always enough. Multilingual sites, mixed-language content, translation workflows, and region-specific localization all require clarity. Custom language prompts provide that clarity.
When no custom language prompt is present, Aimogen follows context. The current WordPress language, the multilingual plugin state, or the existing content language determines output. This is the safe default. Custom language prompts override ambiguity, not structure.
A custom language prompt does not replace multilingual plugins. It does not create translations, duplicate posts, or sync content across languages. It only influences how the AI writes or edits text during execution. Language structure remains entirely under WordPress and your translation plugin.
Custom language prompts are commonly used when generating content directly in a target language that differs from the site’s primary language. For example, generating Spanish content on an English site without switching global language context. In this case, the prompt explicitly instructs the AI to write in Spanish, even though WordPress itself remains in English.
They are also critical for translation workflows. When using AI Content Editing to translate text, the translation instruction itself is the custom language prompt. Without it, the AI preserves the original language by design. Translation only happens when explicitly requested.
For localization, custom language prompts can go further than simple translation. You can instruct the AI to adapt tone, formality, terminology, or regional usage. This allows the same base content to be localized for different markets without sounding mechanically translated.
Chatbots benefit heavily from custom language prompts. A global chatbot may need to respond in a fixed language regardless of user input, or it may need to switch languages intentionally. This behavior must be defined explicitly. Without a custom language prompt, Aimogen avoids switching languages mid-conversation to prevent confusion.
Custom language prompts also matter when embeddings are involved. Embeddings are language-specific. If a chatbot uses English embeddings but receives a prompt to respond in French, retrieval quality will degrade. Best practice is alignment: language prompts, embeddings, and content should all match. Custom language prompts make that alignment explicit.
In bulk workflows, language prompts prevent accidental cross-language output. If you are bulk-generating content and want all output in a specific language, the prompt enforces consistency even if titles, keywords, or source data vary.
REST API usage follows the same rules. Language is not inferred from payload text. If the API call needs a specific language behavior, it must be stated explicitly in the instructions. This keeps automated systems deterministic and auditable.
A common mistake is overusing language prompts to compensate for unclear workflows. If your site is multilingual, the primary mechanism for language separation should always be your translation plugin. Custom language prompts are for instruction-level control, not for structural language management.
Best practice is simple. Use context when possible. Use custom language prompts when necessary. Be explicit when translating. Be consistent with embeddings. Test language instructions in the Playground before using them in bulk or automation.
Custom language prompts turn language handling from guesswork into intent. They ensure the AI writes in the language you want, for the reason you want, without breaking multilingual structure, SEO, or editorial control.
