Why My AI Prompt Library Died (And What I Keep Instead)
I built a careful personal prompt library. It still died. What travels now is role, residue, and a short ticket.
Everything published here, newest first. Essays, notes, and experiment write-ups.
I built a careful personal prompt library. It still died. What travels now is role, residue, and a short ticket.
Gemini has quietly marked your text since 2024, and it has quirks Claude doesn’t. Five methods, one that actually improved the writing.
Manus data deletion, one-time restore, websites still down, and how to choose a cloud or local agent so your next eight months don't live only in a vendor sandbox.
Five methods people try. Only one improved the writing instead of just hiding the fingerprint.
OpenClaw, Hermes, DeepSeek Harness. Different names, same "local = private" illusion.
The problem is not finding another model. It is keeping research, decisions, drafts, and context connected as the work changes.
What I actually packed when the knowledge base went away. Not a ranking of bot stores.
Export is the handoff now, not where thinking starts.
You can generate a polished report in minutes. Can you explain how you got there?
Same dilemma, four models, anonymized peer review. Self-preference and four blind spots.
57% hide AI use from managers. Same people brag about workflows online.
AI can improve average quality while collapsing diversity. What mitigates it.
Family medical prep in one project. Patterns, not diagnoses.
Workflow first, tools second.
Persona and memory are the asset. The model is just the engine.
A living voice document built by rejecting bad output, not "write like X".
One real project is rarely one chat. Who holds the files between conversations.
On-brand creatives stop being a slot machine when strategy stays in a hub and generators only get a finished prompt.