Hello. I am a full-stack developer specializing in AI automation, agent development, and model development. I am proficient in voice AI, various LLMs, and TTS development. In particular, I can handle the entire software development process, including Web3 integration, third-party API integration, AWS, and product launches. I possess significant experience in various specialized fields, such as internal API testing using SwaggerUI, web or mobile app version management via GitHub, and DNS. If my expertise aligns with your project, please feel free to contact me at any time. Please send a DM or Telegram: @devstarfive

Update from Saturday: Amazon terminated my KDP account. Not for this book — an unrelated nostalgia title I had on KDP tripped their AI-content review. Lifetime ban, royalties forfeit, no reopening. The Amazon link in my last post above is dead. The book itself is fine. Just not on Amazon. Pivoted to direct sales on Payhip today. ~45 min to get there. PDF + EPUB bundle, DRM-free, EU VAT handled by the platform. ~90% margin vs Amazon's ~30% — which honestly works out better long-term. For this community — code SKOOL, 25% off, expires Sunday 11 May: https://payhip.com/b/VpTj3?coupon=SKOOL → €18 Free Chapter 9 (the same PDF I was DM'ing on request — now self-serve): https://payhip.com/b/9TWtN @Gareth Parkes — thank you for the KU offer. Book's no longer on KU but if you still want to read and review, DM me and I'll send a copy directly. @Ellie Davis — thank you. With Amazon gone, reader feedback (Goodreads, LinkedIn, even a sentence in this thread) is the social proof doing the heavy lifting now. ▎ Also live on the same store: The Claude Playbook — the hands-on guide to ▎ Claude from first prompt to production code. €19, same SKOOL code → ▎ €14.25. Built from the curriculum many of you already know. ▎ https://payhip.com/b/Dk3OB?coupon=SKOOL

Just recently switched over to using Claude (as everyone had been saying it) from ChatGPT, and really trying to get ahead to learn what Claude can do! :)))

Tokens = Money. Most people burn 3–5× more than they need on Claude without realizing it. I put together a 2-page cheat sheet covering everything I wish someone had handed me when I started: Page 1 — the essentials - Pricing per 1M tokens (Opus, Sonnet, Haiku) - The Savings Stack (these multiply, not add — 80–95% cuts are normal) - The 5 core tactics: right-sizing the model, prompt caching, shorter prompts, output control, context trimming - Common token wasters to stop doing today Page 2 — the deep dive - Claude Code in the terminal: slash commands, CLI flags, how to slim your CLAUDE.md - Prompt caching full Python example (what to cache, what the response tells you) - Prefill tricks that kill the "Sure, here you go..." preamble - Model decision tree (when Haiku, Sonnet, Opus each) - Real-world recipes: cheap classifier, long-doc Q&A, cost-capped agent loops, batch evals - A pre-ship checklist you can run through before deploying 📎 Attached: Token_Saving_Cheat_Sheet Drop a comment with the one tip that surprised you most, or your own token-saving trick. Vincent