Ray Fernando, Adam (GosuCoder), and Nathan Snell are back on Rate Limited. Adam has Grok Bot logging into QuickBooks to run payroll for his side business and managing eBay and TCGPlayer accounts, while the crew digs into AI fatigue from too many bot messages, whether sub-agents or flat agents win in practice, and a blunt take on whether the engineering job market is cooked — plus hard-won advice for people just trying to break in.

Links
Ray Fernando: https://www.youtube.com/@RayFernando1337
Adam (GosuCoder): https://www.youtube.com/@GosuCoder

Chapters
00:00 Welcome to Rate Limited
01:10 Grok Bot is running Adam's payroll
02:17 Grok Bot cost, plans, and usage limits
04:34 Plugins, elder care, and the vault
06:23 Bot message fatigue
06:51 Orchestrating bots (meet Grocky)
08:48 Decision fatigue after AI-heavy days
11:40 Context switching vs real productivity gains
15:03 Why big companies struggle with AI
17:45 Betting on a conversational harness
21:56 Sub-agents vs flat agents
24:06 Wave engineering and task decomposition
28:08 Vertical harnesses, skills, and Conway's Law
30:36 Job market despair and generational luck
37:09 Early internet lessons: jobs lost vs created
40:58 Is the engineering job market cooked?
44:10 Mono apps, MCP, and what's next

Show notes / key topics
• Grok Bot for payroll (QuickBooks), eBay, and TCGPlayer
• Plan pricing, usage burn, and coding vs ops workflows
• Vault for credentials at runtime
• Bot inbox / decision fatigue and orchestrator bots
• Token spend vs productivity
• Sub-agents vs flat agents; wave engineering
• Conway's Law and org-shaped agent designs
• Engineering job market anxiety and adapting
• Mono apps, MCP, SMS/email agents

Tags
Rate Limited, Grok Bot, AI agents, sub-agents, flat agents, AI fatigue, decision fatigue, payroll automation, QuickBooks, job market, engineering jobs, AI native, harness engineering, Ray Fernando, GosuCoder, Nathan Snell, podcast, Ep 24

In this episode, the hosts explore the latest advancements in AI, including GPT models, game development in Claude, and the impact of AI on content creation and automation. They discuss practical applications, model performance, and the future of AI-driven workflows.

Links:
Ray: https://www.youtube.com/@RayFernando1337
Adam: https://www.youtube.com/@GosuCoder

Chapters

00:00 Introduction to AI advancements and topics
02:16 Exploring multiplayer game development and AI's role
03:22 Impressive AI-generated game visuals and physics in Sonnet 5.5
04:22 The significance of running AI in browsers and low-code environments
05:37 AI in world-building and simulation games
07:17 Father-son collaboration in game development and AI's educational potential
09:18 Impact of Astra and Opus 5.5 on game development and productivity
11:17 Using AI for rapid game prototyping and multiplayer features
12:24 AI's role in video editing and content automation
15:27 The shift from skills-based to model-based AI workflows
18:32 Ray's insights on Claude and Opus 5.5 models
20:51 AI for video editing and content repurposing
23:38 AI for automated content creation and social media clips
26:15 The future of AI models and cost considerations
27:51 The importance of collaborative AI development and speed
28:55 Discussion on AI tools like Grokbot, Muse, and others
31:16 Concerns about data privacy and tech accountability
33:23 The evolving landscape of AI models and local inference
40:45 Ray's experience with local models and hardware setup
43:34 Closing thoughts and future outlook on AI innovation

In this episode, Ray Fernando, Adam GosuCoder, and Nathan Snell explore the latest in AI tools like Grokbot, Astra, and Gemini models, sharing insights on how these innovations are transforming productivity, game development, and personal management.

Links:
Ray: https://www.youtube.com/@RayFernando1337
Adam: https://www.youtube.com/@GosuCoder

Dr. Eggbot: https://x.com/poteto/status/2094967827019243547?lang=en