Google's Agent Framework Finally Clicks When You Stop Coding and Start Hiring
The companion kit to the video — Google's Agent Development Kit (ADK) translated into the one mental model that makes it click: you don't write agents, you hire them. Verified against adk.dev and the live repos, July 2026 (v2.4.0, 20.6k GitHub stars, 15M+ downloads a month, 5 languages). Inside: the ORG-CHART DICTIONARY — ten translations (an Agent is an employee, the instruction is the job description, the description is the routing line that silently drives delegation, a plain Python function is a tool whose docstring is the training manual, Sequential/Parallel/Loop are three manager personalities, LlmAgent + sub_agents is the delegating executive, the Runner is the front desk, adk web is the control room, adk eval is performance reviews, and tokens are payroll). Then BRIEFLY, INC. — a complete copy-paste multi-agent company (scout with Google Search → writer → critic/fixer quality loop under one SequentialAgent, ~45 lines, runs as-is on ADK 2.x) with the exact install, .env, and run commands. The FOUR MEMORY BOXES that break every beginner (session.state whiteboard with user:/app:/temp: prefixes, session events, MemoryService, Artifacts) plus the output_key relay in one line. The RUNNER TRAP (adk run and adk web hardcode user_id="user" — the demo receptionist that breaks real backends) and the fix. ADK EVAL in 4 steps — the regression-tests-for-agents feature nobody teaches. PAYROLL RULES (loops and parallel teams multiply your token bill; Google's own v2 benchmark cut tokens ~50% by moving orchestration into the graph). And the v1-vs-v2 REORG DECISION TABLE (2.0's graph engine, what silently breaks in migration, when to pin 1.x) plus shipping one-liners for Agent Runtime, Cloud Run, and the A2A phone line between companies. This is an independent field guide from Hyperautomation Labs.
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