Descriptions:
Running out of AI tokens on ChatGPT, Claude, or OpenAI Codex? Here are the 15 rules I use to cut reused input and get more real work out of the same plan.
Full post w/ Token Saver Skill + Guide:
https://natesnewsletter.substack.com/p/reduce-ai-token-usage?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true
My Links 🔗
👉🏻 Newsletter: https://natesnewsletter.substack.com/
👉🏻 X: https://x.com/natebjones
👉🏻 TikTok: https://www.tiktok.com/@nate.b.jones
👉🏻 Instagram: https://www.instagram.com/nate.b.jones
What’s really happening inside your AI token limits?
The common story is that hitting a limit means you asked too much — but the real question is how much of every request you never typed.
In this video, I share the inside scoop on keeping your AI desk clean:
– Why your tenth message costs far more than your first
– How reused input quietly dominates every request you send
– What the Token Saver skill automates inside Codex and Claude Code
– Where a local check beats any skill running after the call
Better tools are coming, but deciding what a job actually needs to remember stays the work you own.
Chapters:
00:00 you keep running out of claude, codex or chatgpt tokens
04:40 rule one, edit your mistakes instead of arguing with them
11:13 the token saver skill and what it automates for you
15:35 prompt caching and when it actually matters
16:23 ringer as an intermediary before the model provider
18:51 keeping your desk clean and what comes next
Listen to this video as a podcast.
Spotify: https://open.spotify.com/show/0gkFdjd1wptEKJKLu9LbZ4
Apple Podcasts: https://podcasts.apple.com/us/podcast/ai-news-strategy-daily-with-nate-b-jones/id1877109372
