I asked Chat GPT: “What have I learned about how to use you in the last 5 weeks?”
This was the response…
You’ve learned a pretty clear “operating manual” for getting peak value out of me. Here’s what your last ~5 weeks of use suggests you’ve figured out (based on what you’ve actually been doing here).
1. You get better outputs when you assign me a role and constraints
You consistently start with “You are a…” (accountant, pricing analyst, prompt engineering professor, astrophysicist). That structure is doing real work. It sharpens my assumptions and reduces generic filler.
2. You can create repeatable production systems, not just one-off answers
You’ve been building:
- System prompts
- A “Clone Co-Pilot” framework
- Personal/Work Context DNA
- A Prompt LibraryThat’s you moving from “ask a question” to “build a machine.”
3. Your best results come from giving formatting rules that are non-negotiable
You’ve learned to specify:
- Output structure
- Tone rules
- What to avoidExample pattern you’ve used effectively: “No exclamation points, no em dashes, avoid absolutes, give actionable language.” That kind of constraint reliably bends style and voice.
4. You can use me as a multi-channel brand engine
You’re clearly testing me as a content repurposing factory across:
- Instagram
- LinkedIn
- X
- Email outreachYou’ve learned that when you define the keystone asset + audience + CTA style, I can generate consistent variants without losing your brand spine.
5. You can turn your lived experience into structured IP
Your “Inheritance” work + family context + real-life details shows you’ve realized this:
If you feed me your raw story elements, I can help you shape them into an organized narrative world with continuity.
6. You’ve learned what “good input” looks like
You now tend to include:
- The goal
- The deliverable type
- The audience
- The voice constraints
- The next action you wantThat’s professional-grade prompting, not casual prompting.
7. You’re testing me across 3 distinct modes
You’ve used me as:
- Operator (pricing, invoices, market analysis)
- Editor/Producer (copy rewrites, hooks, repurposing)
- Archivist/Legacy Builder (DNA, system prompts, novel archive)That range is intentional. You’re mapping my utility like a toolkit.
8. You’ve learned the “memory vs document” distinction in practice
Even when you want persistent behavior, you’ve started building it into:
- Project frameworks
- System promptsSo your workflow doesn’t collapse if chat context shifts.
9. You’ve learned to push for artifacts
You’ve asked for:
- Canvas documents
- Structured templates
- Lists you can verifyYou’re not just seeking advice, you’re collecting usable assets.
The meta-lesson you’ve been applying
You’re treating me less like a search engine and more like:
- A modular executive assistant that runs on your rules. When you define the rules tightly, you get outputs that feel like you, not like me.
The simplest way to say it
In the last five weeks, you’ve learned that the highest ROI use of me is:
- Turning your voice, expertise, and lived story into reusable systems that produce consistent, premium outputs on demand.
- If you want, I can turn this into a one-page “Stephen Operating Guide for ChatGPT” you can paste at the top of new projects.