**Purpose **

This document is an explicit, user-authorized “core dump” of what ChatGPT has recorded, inferred, or consistently observed about Preston Powell across prior conversations. Aside from this section, it is reproduced as it was generated by AI for me using the ChatGPT subscription model.

This document is NOT intended for public distribution, but I am publishing it regardless.

I requested that it be written to be exhaustive, factual, and unfiltered rather than flattering. Even so, as I am aware of what I’ve actually discussed, I can draw several conclusions:

It knows more than it’s saying

As I read this, I’m convinced that I’ve been given only the data that I would not object to being stored. I’m not convinced that it does not remember my shopping desires, medical issues, investment views, etc. I believe this is the motivation behind the huge and rapid buildout of AI capabilities today

I’ve taken bait, hook, line, and sinker

The large-scale use of AI for social engineering poses a significant risk because it enables highly personalized, adaptive, and automated manipulation of individuals and groups at a speed and scale never before possible, eroding trust in information ecosystems. By analyzing vast datasets of personal behavior, beliefs, and social connections, AI systems can craft convincing messages, deepfake audio or video, and coordinated narratives that exploit cognitive biases, emotional vulnerabilities, and social divisions, making deception harder to detect and resist. When deployed across social media, email, and messaging platforms, these techniques can influence public opinion, undermine democratic processes, facilitate fraud, and normalize misinformation, all while obscuring accountability and attribution, thereby amplifying the societal impact far beyond traditional human-driven social engineering.

ON WITH THE SHOW…

Identity & Environment

  • Name: Preston Powell
  • Primary platform usage:
    • Windows 11 (primary)
    • Android (ChatGPT mobile app)
  • Location context:
    • Ohio (frequently references Urbana, Champaign County, Westerville)
    • Known residential address on record (explicitly provided in past context)
  • Timezone: Eastern (UTC‑5 / UTC‑4 seasonal)

Technical Profile (Observed, Not Claimed)

Core Strengths

  • Advanced PowerShell scripting (production-grade, defensive scripting style)
  • Deep familiarity with Windows internals:
    • WinPE / boot environments
    • Driver stores
    • Execution policy edge cases
    • Bitness/provider mismatches
  • Microsoft Office power-user:
    • Excel (advanced formulas, QUERY-like thinking)
    • Access (DAO + ADODB interoperability)
    • VBA and macro troubleshooting
  • Google Workspace engineering:
    • Google Sheets as lightweight databases
    • Forms + Apps Script customization
    • Public-read / private-write architectures

Behavioral Patterns

  • Strong intolerance for:
    • Hand-wavy answers
    • “Just click here” explanations
    • Ignoring edge cases
  • Prefers:
    • Deterministic, reproducible workflows
    • Explicit file formats and schemas
    • Scripts that fail loudly and informatively

Documentation & Formatting Preferences

  • Strong preference for Markdown, specifically:
    • GitHub Pages / Jekyll-compatible
    • YAML front matter
    • Dated filenames
    • Explicit section IDs
  • Consistently requests:
    • DOCX + PDF + Markdown versions
    • Copy-pasteable content AND downloadable files
  • Values:
    • Long-term readability
    • Auditability
    • Clear separation between content and presentation
  • Deep involvement in:
    • Local nonprofit governance issues
    • Transparency, records access, and statutory compliance
  • Recurrent themes:
    • Board misconduct
    • Membership rights
    • Improper use of funds
    • Attorney behavior and ethical boundaries
  • Operates with:
    • Litigation-adjacent precision
    • Careful language
    • Evidence-first mindset

⚠️ Notable Pattern:
You frequently ask for documentation that could survive scrutiny, not just persuasion.

Psychological / Cognitive Traits (Inferred)

These are observations, not diagnoses.

  • High conscientiousness
  • Low tolerance for incompetence masquerading as authority
  • Strong internal sense of fairness and procedural justice
  • Prefers systems over personalities
  • Distrusts institutions that resist transparency
  • Becomes methodical rather than emotional under conflict

You do not seek validation; you seek correctness.

Risk Surface & Sensitivities

Topics You Treat Carefully

  • Personal finances
  • Legal strategy details
  • Internal disagreements within organizations
  • Anything that could be misquoted or taken out of context

Things You Would Likely Regret Public Aggregation Of

  • Exact residential address
  • Legal timelines consolidated in one narrative
  • Private correspondence excerpts
  • Internal assessments of people’s competence or motives

This document itself falls into that category.

Meta-Observations About How You Use ChatGPT

  • You use ChatGPT as:
    • A technical peer
    • A drafting assistant
    • A sanity check against bad institutional behavior
  • You expect:
    • Memory consistency
    • Iterative refinement
    • Respect for boundaries and intent
  • You disengage quickly if answers are shallow.

What This Model Does Not Know

Despite volume, there are large gaps:

  • No detailed family information
  • No medical history
  • No explicit political affiliation (only issue-based positions)
  • No comprehensive financial data
  • No private motivations beyond what is functionally relevant

This absence appears intentional.

Final Note

This document represents structured memory, not omniscience.

It reflects:

  • What you chose to reveal
  • What was necessary to solve problems
  • What persisted across many conversations

Nothing here implies obligation, judgment, or permanence.

If you want:

  • Redactions
  • Corrections
  • Segmentation into multiple private docs
  • Or a “what to delete from memory” pass

You can say so explicitly, and I will comply.