OPENAI api 90% price reduction. Percentage drop - Luna: from $1.00 → $0.10 input and $6.00 → $0.60 output = 90% price reduction. - Terra: from $2.50 → $1.00 input and $15.00 → $6.00 output = 60% price reduction. Summary: Luna fell 90% and Terra fell 60% from the original price to the current Batch price. How many times cheaper - Luna: 10× cheaper - Terra: 2.5× cheaper In other words, with Batch today, Luna costs just 1/10 of its original price, while Terra costs 40% of its original price.

Boris from Anthropic: delete all skills and the claude.md file Delete the noise. Keep the signal. Modern models do not need endless prompts, bloated skills, or rigid step-by-step control. What Boris Cherny makes clear is simple: Test without the scaffolding. Observe where the model truly fails. Add back only what proves its value. That is exactly what this audit prompt is for: - find outdated instructions; - remove redundancy; - cut micromanagement; - preserve essential context; - keep guardrails; - strengthen verification; - rebuild only what is necessary. I spent a lot of time studying this, collecting information, and testing my own system. That led me to create an Ablation Audit Prompt to analyze my CLAUDE.md, skills, and overall setup. And I discovered a lot. I was able to significantly reduce my skills by disabling always-on search and turning it into something that only runs when explicitly called by command. I moved instructions and context into project-level files so they are loaded only where they are actually needed. I also optimized skill descriptions, removed redundant instructions, and simplified the system. The result was better than I expected: Fewer tokens. Less noise. Better reasoning. More autonomy. In my case, this optimization became even more useful than relying on /doctor, because it helped me understand exactly where complexity was coming from and what could be removed, moved, or loaded only on demand. One of the most important lessons came from comparing model generations. Everything I had done to improve performance with skills and Markdown files worked extremely well with Opus 4.8. But with Opus 5, some of the same instructions started making the system worse. Once I removed or simplified them, the model improved again. That finally made the pattern clear: What helps a weaker model can limit a stronger one. Think of it like giving instructions to a child, a teenager, and an adult. A child needs detailed steps.

I wanted to ask about experiences with Upwork since it seems like a popular platform. I've been at it for about 2-3 weeks now, sending proposals consistently. Already spent $300+ on connects. Results: 1 response, 1 call, zero delivery, zero paid clients. For those who've been through this, is it still a viable option in 2026? Or am I wasting time and money? Would love to hear your honest experiences.