Why we built six Buddies instead of one giant assistant

Specialisation beats generalisation once a task touches real business data. Here's the architecture decision that shaped Wanddy.

Most AI assistants try to be everything to everyone. We tried that for a quarter and the results were mediocre across the board — fine on demos, fragile on real workflows.

When we sat with our pilot customers, the same pattern showed up: a Shopify question and an Odoo question are not 'the same thing in different clothes'. They have different schemas, different access patterns, different failure modes, and very different definitions of what 'a useful answer' means.

So we split Wanddy into specialists. Leo owns commerce. Aven owns SEO. Helpie owns prospecting. Each Buddy carries the schema, prompts and tools for one domain — and Wanddy itself is the orchestrator that decides who to ask.

The architectural unlock is that Wanddy can hand off context between Buddies without re-prompting them with the whole world. That keeps each agent fast, predictable and cheap to run — and lets us ship improvements one Buddy at a time without retraining the rest.