All-in-one workspace for freelancers, agencies, and small businesses: clients, projects, invoices, documents, AI employees, automations, and analytics.

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How does the AI employees piece actually work in practice, are they more like pre-built templates you customize or something you train from scratch on your own workflows?

@nilgn2902160993 In Navrio’s current implementation, AI employees are pre-built role templates you customize, not models you train from scratch.

Here’s how they actually work:

Each employee has a name, role, emoji, and a system_prompt (src/lib/ai-employees.ts).
The is_seed flag means some come pre-installed (e.g., a sales assistant, project manager, accountant persona).
When you chat with one, the backend sends that employee’s system_prompt to the model (google/gemini-3-flash-preview) as the personality/instructions (src/routes/api/ai-chat.ts).
Conversations are saved per thread in ai_threads / ai_messages, so context is preserved across a chat.

So in practice: you pick a role template, then the behavior is shaped by its system prompt and your ongoing conversation. There’s no fine-tuning or workflow-training step in the current code — it’s prompt-driven, not custom-model-driven.