Stop Overpaying for AI: My Real Workhorse plus Specialists Stack скачать в хорошем качестве

Stop Overpaying for AI: My Real Workhorse plus Specialists Stack

This video breaks down how I currently split tasks across multiple AI models to get speed, safety, and quality without overspending. GLM 4.7 is my primary workhorse because it delivers the best performance to cost ratio. It handles the majority of everyday development tasks reliably and consistently. Opus 4.5 is used only when deep back end logic is required. It performs extremely well, but it is not used by default due to cost considerations. GPT-5.2 Codex is reserved for security audits and debugging. This is where Codex models shine, especially for reasoning, security validation, and exploit level analysis. Gemini 3 Pro is used selectively for front end work when the other models do not fully execute the task as expected. The key takeaway is to avoid locking yourself into a single provider or tool. Models evolve quickly, pricing changes, and flexibility matters. Chapter Outline (YouTube Chapters) 00:00 – Introduction and AI model stack overview 02:18 – Preferred CLI tools: Factory AI Droid and Claude Code 04:15 – Beginner recommendations: Open Code and Kilo Code 06:02 – Critique of Google Anti Gravity 08:50 – Pricing analysis and Z.ai coding plans 11:00 – Benchmark suite score overview 12:15 – Test 1: Sonic platformer functionality 14:50 – Test 2: macOS Big Sur desktop simulation 17:55 – Test 3: Orbital solar system simulation 19:50 – Reasoning and logic task performance 21:18 – Conclusion and final recommendations Tools Mentioned in This Video: Claude Code Factory AI Droid Open Code Kilo Code Google Anti Gravity Additional playbooks and the full benchmark suite are available on my website under the Resources section: https://mediadatafusion.com/resources Affiliate and Resources GLM Coding Plans (best value for cost to performance) https://z.ai/subscribe?ic=6ZGVEFSWGY Explore Free Tools by Kit Utility https://kitutility.com Connect With Me: LinkedIn   / jeremy-grove-mediadatafusion   X https://x.com/JeremyGrove_MDF Subscribe for short, practical AI workflow breakdowns and real benchmark results.