Build Your Own Grok Bot With Core AI Models and Stream Chat

A tutorial describes how to build a proof-of-concept Grok Bot-style iOS app using SwiftUI, Stream Chat, Apple’s Core AI framework, and on-device models introduced with WWDC26 APIs. Inspired by agentic collaboration platforms where AI teammates can manage tasks, communicate in threads, use tools, and report to a chief-of-staff agent, the sample app supports hiring bots, assigning work, teaching routines from conversations, scheduling routines, and configuring permissions and plug-ins. It requires an Apple Intelligence-capable iPhone or iPad, Xcode 27, a coding-agent subscription, and Stream services, while offering local model choices including Apple’s Foundation Model, Qwen3.5, Liquid AI’s LFM2.5, and IBM Granite. Bots are represented as Stream chat users with specialized roles such as sales, inbox management, finance, engineering, research, and product performance, and can access selected connectors for calendars, reminders, contacts, message threads, dates, and task-specific workflows. The app also includes voice prompting through SpeechAnalyzer and SpeechTranscriber, but differs substantially from Grok Bot by lacking cloud computers, browser or CRM access, persistent background execution, broad tool support, and production-grade server-side bot authentication.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.