This week I noticed a repeating pattern that happens with most of the users Claude buries simple answers in jargon it never explains and it turns a one-line question into a five-paragraph essay you have to mine for the actual answer I hit both walls myself. Asked a quick question, got a term I'd never seen, no definition, then three paragraphs of context I didn't ask for Burned tokens, burned time So I built a skill around one rule: explain it like you're talking to a 15 year old. No assumed expertise, no dense wording, no padding Under the hood it leans on ASD-STE100 — the simplified English standard manuals use One idea per sentence. Common words only. No hidden acronyms It's built for people who can't afford to misread a sentence, which is exactly the bar an AI answer should clear to Since I started using it, the difference isn't subtle. Same questions, half the words, zero re-reading Turns out most "complexity" in an answer isn't the topic being hard. It's the explanation being lazy Anyone else keeping a running list of terms Opus 5 uses without ever defining them?

Anthropic just quietly rewrote the rules for Claude Code Over 80 percent of the system prompt was stripped away, with no measurable loss on coding evaluations Turns out last year's prompting habits are now holding these models back Here are 6 shifts from Anthropic engineer Thariq Shihipar worth updating your setup for 1. Judgment over rigid rules. Stop over specifying every edge case. Let the model use its own judgment instead of boxing it in 2. Design interfaces over exact examples. Examples narrow creativity. Give it guidelines and let it explore within them 3. Progressive disclosure over front loading. Do not stuff CLAUDE.md with pages of docs. Load context only when needed. Saves a ton of tokens 4. Simple tool descriptions over duplicated prompts. Modern models retain context well now. No need to repeat instructions everywhere 5. Automated memory over manual updates. Let auto memory capture learnings instead of manually editing files after every session 6. Rich references over plain markdown. Interactive UIs and visual specs work better than plain text now, for the model and for you If your system prompt has not changed in a while, it is probably bloated Trim it down. Let the model fetch context dynamically. Faster, cheaper, better results Have you updated your CLAUDE.md since this came out?

Claude agrees with you a little too often. Have you noticed that. There is a skill spreading fast right now called LLM Council, and it fixes exactly this Instead of asking Claude for one answer, it makes Claude argue with itself first Five different advisers look at your idea at the same time. ⬩➤One hunts for the fatal flaw. ⬩➤One asks if you are even solving the right problem. ⬩➤One looks for the upside everyone else missed. ⬩➤One reacts like a normal person with zero bias. ⬩➤One only cares what you should do right now. They do not just answer and stop They read each other's responses They catch each other's blind spots They push back on each other Then a chairman steps in, weighs everything on the table, and gives you the final call So before you launch something, change your pricing, hire someone, or spend weeks building the wrong thing You just type two words. Council this And Claude stops telling you what you want to hear Have you tried this yet? Curious what it surfaced for you.

If you run an agency or manage a remote team, you already know this pain Who did what today. Who is actually working right now. Where did the last 3 hours go We felt this hard at our own agency We sat down and calculated it We were losing over 10+ hours a week just to untracked time and untracked work No clear system, just guessing There is a saying, [What Get's Measured, Grews] So we stopped guessing and built our own solution One multi-functional dashboard that tracks, measures, and manages our entire team from a single screen Who is online. What task they are on How much time each project is actually taking. All in one place, updated in real time If you are running a work from home team, you already know why this matters Without visibility, you are not managing a team. You are hoping one exists We built this to solve our own problem first Now we are sharing exactly what it looks like Take a look at the dashboard below and see every feature we packed into it

OpenAI renamed GPT-5.6's tiers — Sol, Terra, Luna and this time the names actually tell you something instead of making you decode a version number ⬩➤Sol — the flagship, priced accordingly. Hard coding, security work, multi-step problems. ⬩➤Terra — the everyday one. Roughly half Sol's cost, fine default for most business stuff. ⬩➤Luna — cheap and fast. Summaries, drafts, the routine stuff nobody wants to pay flagship prices for. It's similar to Claude's Opus, Sonnet and Haiku The interesting bit is a comparison someone ran: a full day testing Sol against Claude Fable 5 on actual tasks games, websites, coding, brainstorming not benchmark screenshots Fable came out ahead creatively Better games, better site designs, more polish, more willingness to push back on a bad idea instead of just executing it Sol came out ahead on speed and cost, no contest One project: Sol did it in 7 minutes for about a dollar Fable took 20 minutes and almost $20 for a comparable result Which one's better probably isn't the right question It's what you're optimizing for that day Fable if you want the strongest output and don't mind paying for it, Sol if "good enough, fast and cheap" actually is good enough Feels like the obvious move is using both: Fable to think it through, Sol to actually build it