OpenClaw Challenge Submission 🦞 This is a submission for the OpenClaw Writing Challenge About this Series I built an agent to monitor and respond to my WhatsApp messages, managing memory, history, and relationships with contacts, running on a blazing fast inference layer within a capped token budget. Most of what you'll read here I learned the hard way. Series: A five-part series on building a real, production-minded AI agent: multilingual, multimodal, and connected to WhatsApp on a 1M token/day budget. Title What You'll Learn 01 (The Brain) Setting Up OpenClaw Installing OpenClaw, choosing your model, configuring the main agent, workspace layout, context compaction, and establishing a markdown contract for consistent output 02 (The Voice) Multilingual Layer Building Silas the Language Sentry, automatic language detection, multilingual response handling, and how this connects to the WhatsApp bridge 03 (The Senses) Image Generation & Media Working with tools.deny and tools.media scopes, owner-only image…