Kohei (tool_base)
@toolbase_ai
AI Output Consistency Engineer. I design systems that make AI reliable, not random. If AI is the instrument, I’m the tuner. Building in public.
I’m an AI Output Consistency Engineer. I don’t write “prompts”. I design systems that make AI output stable, repeatable, and controllable — not random. Currently in education phase. Documenting everything in public.
Ever notice your AI suddenly getting “too nice” again? You didn’t change anything — but the way it *thinks* quietly shifted. When tone and logic sit in the same block, the model starts blending them together. Slowly, your tone resets, your logic fades, and the whole…
Most people think prompts “drift” because the words change. But actually, it’s the structure that breaks — not the text itself. Tone lives in the words. Behavior lives in the structure. When you mix them up, the tone slowly resets to “polite mode.” That’s why even a great…
Ever had this happen? Day 1: “Wow, this prompt works perfectly.” Day 3: “Hmm… feels slightly different?” Day 7: “Wait… why is it answering like a totally different person?” You didn’t change the wording. The model didn’t “get lazy.” But the output still drifted. That’s not a…
Why do prompts “drift” over time? You paste the exact same prompt. The first few runs are sharp, structured, reliable. But by the 5th or 10th attempt, the output starts to weaken, shift, or lose precision. This isn’t about “bad prompts.” Even well-designed, layered…
Why “prompt experts” won’t survive the next AI wave A lot of people still believe that “being good at writing prompts” will keep its value. But that skill is already becoming a commodity. • Anyone can copy/paste a prompt • AI itself is getting smarter every month • Tools…
Reminder: a single “big prompt” is fragile — hard to debug, hard to improve. Tonight I’ll share a real before → after using a 3-layer structure. Same input, different structure, totally different output. Demo drops tonight (JST).
Why I stopped using “one big prompt” — and switched to layered prompts instead. (Part 2 of a 3-day mini series) 1️⃣ One long prompt = one locked output – hard to debug – hard to reuse – hard to improve 2️⃣ Layered prompt = modular workflow – each part has a job –…
I stopped using “one big prompt”. Same input. Different structure. Completely different output. Tonight I’ll show the before→after breakdown. If you want the template too, reply “SHOW ME”.
Are you still using ChatGPT like a “single-use prompt machine”? There’s a better way: Treat ChatGPT like a **workflow OS**, not a vending machine. Instead of one long prompt, separate it into 3 reusable layers: 🔹 Layer 1 — Purpose + Input formatting 🔹 Layer 2 — Reasoning…
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