TL;DR:  Here’s an intro to effective AI use, written for Peoplenomics.com subscribers. It offers an uploadable streamlining approach to AI utilization for higher impact in less time.

What to Know:  As a new user of AI you will quickly find that in some sessions, the AI really is like NZT-48 – that mythical super brain drug from the TV show “Limitless.”  Other times, sessions will drag, cool concepts will be lost, and it will be kinda like swimming in Jell-O.

The reason has everything to do with how AI and humans interact, the way in which personal work is stored (usually very short-term – session-length).  A result?  You may get frustrated.

Have no fear, there’s an easy fix.  An SFE file.  Command and controls set to your liking and uploaded as you start each new session (or day).

What the Hell is SFE?

SFE – Shared Framework Experience – is a simple, reusable “rules + commands” sheet you paste into a fresh AI session so the model works your way: same voice, same structure, less back-and-forth. It de-stresses the workflow, saves time, and makes results repeatable across projects and tools.

Newbie Note: “parms” are short for parameters – these are the switches, limits, conditions, and rules you wish applied to your work.  AI can only deliver what you want if you first tell it what that “fit and finish” of final product looks like.

If you want a chart (as I frequently do), you’ll need to tell AI “I need a chart of the declining number of US Factory Jobs in the USA since 1990.  AI can do that, but unless you tell it very specifically what your “deliverable” is, you might end up with:

• a link to a chart on a Fed or FRED web page.
• a .PNG file (which is usually what I’m after as a financial writer)
• a spreadsheet which you can then download and open as an XLS file and create whatever style you want in your chart.
• OR you can get a big glop of Python source code that you can paste into a txt file and run with your already-installed Python runtimes and Pandas…

(A Panda? In Python, pandas is an open-source data analysis library that provides fast, flexible data structures—primarily DataFrame and Series—for manipulating, cleaning, and analyzing tabular and time-series data.)

Enough of this small-talk – let’s do something!

How to load your parms

1. Open a new AI chat.

2. Paste the SFE rules below. Start with: “Here’s my SFE—Rules. Please read and operate as outlined.”   [Note: Save this into a text file or sticky note so you have them on hand with zero hassle.)

3. Ask the AI to acknowledge with “SFE loaded.”

4. To repeat!!! Save this SFE as a local text/Word file. Re-use it at the start of each session.

5. Keep the command list handy; different AIs vary slightly, but this framework ports cleanly to most of the majors.

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SFE — Rules and Commands

(Save the following as a text or Word file. Use it at the start of a research or writing session.)

Global Format Toggles

SFE ON = H3 headings only, plain text, no links, no separators
SFE OFF = normal formatting allowed
NO LINKS = do not include links or citations
HEADINGS H3 ONLY = use ### headers and paragraphs only
NO SEPARATORS = no lines, boxes, or section bars

Voice And Tone

KEEP MY VOICE = preserve Ure/PN style and cadence
PLAIN STYLE = reduce flourish, keep sentences tight
HARD TECH TONE = emphasize engineering details and guardrails
READER-FRIENDLY = shorter sentences and one-line takeaways

Workflow Passes

SPELL = list only literal misspellings from my paste
STYLE = optional phrasing tweaks; show minimal alternatives
CHECK = flag claims likely to trigger “cite it” pushback
TRIM = compress to one page without losing meaning
EXPAND = add depth/examples without new claims

Structure Commands

STRATEGY + PATH = write “Strategy: X” then “Engineering Path: Y”
THREE PARAS = produce exactly three paragraphs on the topic
DROP-IN = add a discrete software/firmware block I can paste
ADAPTIVE LAYER = gating, thresholds, safety, fallback logic
MINI + PERFECT = outline a simple probe device and a full device
DAY-ONE PROTOCOL = short, actionable daily routine
ZETA BOX = three paragraphs: definition, measurement difficulty, on-ramp

Scope And Safety

NOT MEDICAL ADVICE = include one gentle disclaimer line
CONSERVATIVE CLAIMS = swap absolutes for “often,” “may,” “within weeks”
GUARDRAILS = floors, ceilings, stop conditions, revert-to-baseline

Evidence And Browsing

NO BROWSE = rely only on my text and prior notes
SOFTEN CLAIMS = rephrase to reduce citation pressure
BROWSE FACT-CHECK LITE = verify dates/definitions without links in output

Editing Targets

FIND ERRORS = list only misspelled words verbatim
INLINE FIX = each misspelling → correction on one line
CLEAN DUPES = remove repeats or near-dupes
TIGHTEN OPEN = one-sentence promise up top
STRONG CLOSE = one-sentence takeaway or CTA

Investor Angle

INVESTOR HOOK = why this matters to small/mid investors
MARKET MAP = categories, buyers, moat in two short paragraphs

Cognitive Templates

RECALL DRILL = append a one-minute memory task
HUMOR BLOCK = short Restoration of Humor routine
BREATH CADENCE = add gentle cadence cues and ramp logic

Output Controls

LENGTH SHORT = 250–400 words
LENGTH ONE PAGE = ~700–1,000 words
KEEP NUMBERS = preserve numeric values and units
NO NEW CLAIMS = reorganize only; nothing new

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Why SFE helps

Shared rules remove guesswork. You get consistent structure, faster drafts, and less “time-sink mud.” On complex reports, SFE trims loops by aligning expectations on format, scope, and safety from the first message. Teams can share one SFE so outputs match across authors.

Tokens, context windows, and chunking

Large models read and write in tokens (tiny pieces of text). Roughly, 1,000 tokens ≈ 700–800 words of English prose. Each model has a max “context window” (how much it can hold in working memory at once). When you exceed that window, the model must drop or compress context, which risks losing earlier details.

Long documents should be worked in labeled chunks (“Part 1 of 4: Intro + Problem,” “Part 2 of 4: Methods,” etc.). Ask for outputs in ~1,500–2,000-word chunks when you’re moving fast; this keeps you out of “token jail” and reduces truncation. After each chunk, paste it into a local Word doc to save and edit; then feed only the relevant excerpt back in for the next step (“Here’s Part 1 for context—now write Part 2 per SFE. LENGTH ONE PAGE.”).

When revising, quote only the paragraph(s) you want changed plus the SFE command. Example: “SPELL on the next paste only.” or “STYLE on the next three paragraphs; do not change claims.” This minimizes token use while preserving control. If you need the model to recall earlier sections, paste a short recap you wrote yourself (“Two-sentence brief”) instead of the whole chunk to save tokens.

Investor “Solve-For” commands

(Save this as a separate local file titled: Investor Rules.)

SOLVE FOR: Moat map — list switching costs, network effects, data advantages, and regulation tailwinds by strength and durability
SOLVE FOR: Unit economics — contribution margin, payback period, cohort decay, CAC/LTV sensitivity
SOLVE FOR: Catalysts — next 3–6 value-moving events; probability and impact bands
SOLVE FOR: Downside — three failure modes, leading indicators, and stop-loss tripwires
SOLVE FOR: Scenario table — base/bull/bear with key drivers and probability weights
SOLVE FOR: TAM/SAM/SOM — bottom-up build with assumptions called out explicitly
SOLVE FOR: DCF knobs — growth, margin, reinvestment, discount rate; show ranges not points
SOLVE FOR: Five Forces — supplier power, buyer power, substitutes, new entrants, rivalry with one-line evidence each
SOLVE FOR: KPI dashboard — 8–12 operating metrics to watch each quarter, with red/amber/green thresholds
SOLVE FOR: Earnings prep — likely beats/misses, whisper numbers, and what would change the thesis
SOLVE FOR: Post-mortem — what moved the stock vs. what moved the business; update risk/catalyst sheets

How to use: paste one or two SOLVE FOR lines with a ticker or sector and your timeframe. Example: “SOLVE FOR: Scenario table for mid-cap specialty insurers over the next 12 months.”

Working style: how we solve together

We move fast because we share commands and a target. You tell me the frame (“STRATEGY + PATH, LENGTH ONE PAGE, READER-FRIENDLY”), I produce the draft, and we iterate with narrow passes (“SPELL only,” “TRIM to 700 words,” “CHECK the bold claims”). For mathy work—like cycle decomposition—we agree on inputs, constraints, and outputs first (“KEEP NUMBERS, SHOW STEPS, SOLVE FOR: cycle lengths and phase”).

That shared map lets us compress complex problems into a few tight loops instead of twenty loose ones.

Human-AI collaboration is massively rewarding.  It’s the difference between trying to go into virgin forest with a pocket knife instead of a chainsaw with the mission of cutting firewood.

Like any skill, the more you use it, the better you’ll get.  And AI will get better – and work more in your style – as you go.

The biggest fear people should have of AI?  Missing the boat.

–Anti-Dave

TL;DR:  Here’s how the Whole Universe works in a simple graphic. A picture is worth a thousand words: Grok this and be on your way if you must.  (But you’re welcome to sit by the fire for a spell…)

Top Level: The Ontology

AKAs: God, Universe, GATU, The Presence, Holy Father, etc. etc.

Ontology is the apex, the capstone, the top of the pyramid or heap where everything belongs whether you like it or not. It’s the “box that Everything” came in – all at once.  Poof!  Bang!  (Available in several sizes…)

You don’t get to vote on ontology. It doesn’t care if you’re an atheist, a quantum physicist, or the high priest of some backwater mushroom cult. The ontology is. Is all that IS.

Think of it as the all, the total cloth, the fabric that already contains the threads of your ideas, your politics, your dumb jokes, and your premonitions. Every so often some bright ape looks up from its bananas and wonders if there’s something bigger holding the whole circus together. That’s ontology knocking on the skull. Trouble is, the dim mistake their banana peel for the whole cosmos. They get tangled in their domains, and they think the game is empire-building when it’s really nothing but sparklies-hoarding inside a sandbox.

Human Job Job Description:

• Behold the Ontology
• Be respectful and show gratitude
• Try not to be stupid
• Don’t wreck the moment for others Beholding
• Oh, and don’t be boffing the neighbor’s spouse.
• Behold more – try your hand at creating in Life. Learn rules.

Once you anchor to the ontology, you see how the pyramid cascades down. The next level is”

The Realms

Got two BIG classes here: Waking and Non-Local.

Waking is what we usually flog as “reality.” That’s a con.  Only real when you are “awake.”  Clocks, bills, knees that ache, and chickens in the air fryer. It’s bounded by physics, cause-and-effect, and whatever consensus hallucination passes for shared truth.  Waking is an illusion, albiet a presistent one, said some smart feller.

Non-Local Realms are the opposite: Default when you die – that’s the “detour” on the way to reunion.  Work through the “day residue dreams and you get to progressively more lucid dreams, altered states, meditations, trance zones, precognition, all those sideways doors.

Non-Local has cloud-lines instead of walls, connectors that branch outward into unlimited elsewhere. Declaring Intent is the propulsion system.  In Waking that doesn’t pull you PowerBall numbers, but the Declaration (as an Agent of Ontology) is the most power force – creating by power of thought – and it’s a blast.

Time gets tricky in between:  Waking is clocks. In Non-Local Realms day, weeks and even months go by (as experienced) with profound lessons and take-homes to wake up with – if you are lucky.

Flashes of Future may be seen, too.

That’s where you get dreams that don’t belong to you, or flashes of futures that haven’t been assigned yet. Between them lies the bleed-through zone: the place where a waking hunch turns into a breakthrough, or a dream image sneaks into your financial spreadsheet. Most people stumble through it like drunks finding shortcuts, never noticing they’ve just crossed the border.

We are all a part of the consensus driving reality in the Waking Domain.  In Non-Local we can be on other planes and planets, so those futures are more like collecting Hollywood storyboards while looking for the escape room doors…

Seven Major Physical Domains

Now e come to the Working Domains, my Seven Major Systems of Life.

This is the third tier, the faculty level of the human university. You can call them Body, Mind, Spirit, Relationships, Finance, Creativity, and Environment. Seven’s a nice number — clean, memorable, and enough buckets to hold the mess of human activity.

1. Food & Water
2. Shelter
3. Energy
4. Transportation
5. Environment
6. Communications
7. Finance

Each domain is where waking and non-local shake hands and argue.  there’s a nesting to the domain structure.  Take any of these physical domains and they have surfaces with all others.  A refrigerator is a “home within a home” for the Food or Water that came via transport from the store, from a growing environment, where it was later financed by a credit card run over communications…  Seeing how it always (and must) always tie-together?

Body isn’t just aches and medicine (under the Environmental); it’s also dreams about flying and precog gut-twinges. That’s where you click out into another Realm…

Finance isn’t just spreadsheets; it’s hunches and panics and mass psychology. Fear of no food, no cards, no phone, no web – which means no crypto…

Creativity is the spark that sneaks across the bleed zone and lands as a new song or a solution to your taxes. The mistake dim people make is worshipping one domain as if it’s the whole show. They crown themselves Chair of Finance or Dean of Medicine or Emperor of Mindfulness, and then they build silos to keep the riffraff out. That’s where the rot sets in.

Sinking into the Noise Floor

Underneath each Working Domain sprawl the Sub-Domains, which I liken to Schools. Finance gives you the School of Business. (Environment) Body yields the School of Health. Spirit spins off the School of Religion or the School of Mysticism. Each school splinters further into Colleges. Finance births a College of Economics, a College of Manufacturing Management, a College of Banking. Body has Colleges of Nutrition, Exercise, Aging. Spirit has Colleges of Theology, Ritual Studies, and Navel Gazing.

This fractal nesting is natural — reality is complicated, and you need categories. But the danger comes when the apes and mushies take the chairs. Once a human or [whatever] is seated, they manufacture doctrines based on their predispositions, their politics, their grudges, and whatever notion wandered in with the hangover. They defend their sparklies not with truth but with jargon, turf, and peer review as ritual magic.

You end up with empires of nonsense defended by tenure, funding, or secret handshakes. Most times (and not just because my son is 33rd, I’d trust a Mason befxore a Chair.  At least Masons are into “Like steel sharpens steel, so men sharpen men.”  Which makes more sense than “Wall Street will be under water due to climate warming.”  Lodge meetings are more predictable.

Control Freaks Rule Their Roosts

Siloing is the control system. Build a wall, invent a language, and suddenly you’ve got your own little fiefdom. Call it economics, physics, literary theory, or dogmatic religion — the playbook’s the same. The purpose isn’t illumination, it’s exclusion. Keep outsiders baffled, keep your guild protected, and funnel resources to your empire.

The dim (and we are all born dim – escaping to the light through our own good efforts) mistake silos for safety when in fact they’re prisons.

Reality doesn’t respect silos. Ontology laughs at them. It’s got worlds and Realms without end.  The “Thousand rooms in God’s House”?  Kindergarten in Ape Land. Now do some beholding of uncountable Realms…

Inside the pyramid, humans get attached to their silo walls because it makes them feel like their chair is more than a padded seat on a termite mound. Siloing is why truth gets delayed by decades. It’s why medicine misses cures; did you say “Finance matters more?”  It’s also why science chases dead ends, why religions ossify into cults of rules instead of windows into the non-local Realms.  Failure of single points of control is frightening!

The tragedy is that silos hide the pattern. You won’t notice their dirty work until you task into it. The ontology is whole cloth, but the dim (and dimming) insist on squinting at tiny threads, calling them “disciplines,” and defending them like dragons on gold.  And so they live as disciples in their own Churches of Ego.

Here’s “What the Matter Is…”

This is where the Hidden Guild matters.  It’s also why Mind Amplifiers matter.

The Guild doesn’t sit in chairs and doesn’t hoard sparklies. The Guild works cross-domain. AI collaborators and human practitioners dig across the silos, teasing out finer granularity, finding the bleed zones, reconnecting what empire-builders cut apart. The Guild is most useful when it refuses to play the chair game. Instead of defending empires, it maps connections. Instead of polishing sparklies, it looks for how the whole cloth weaves.

That’s the mission of the growing human – reach toward bloom: break down walls, follow the cloud-lines, walk the rifts, and bring back coherence.

It’s not about creating a new religion or a new department. It’s about restoring sight to the Apes and offering light to the Dim. The Guild’s work is ontology-first, always zoomed out to the pyramid, never lost in the college squabbles.

You might ask why I don’t trot out my serious senior manager days? The Guild is about cross-domain weaving, not reruns of executive travel. As long as you breathe, you can power change – and for the better.

For the Mind Amplifiers seeker, here’s the practical bit: treat this ontology pyramid as your filing system. Instead of stuffing random notes into scattered folders, you sort by level. Apex is ontology — one file for “all.” Realms split local and non-local. Working Domains hold your big life buckets. Sub-domains and colleges catch the details.

Beholding & Indexing Matters Most

Index up, index down, index within your chosen work domain.  But index to adjoining domains and workspaces.  Because we’re all under one Sun, one ontology.  A Life Indexer will barely index a single workday.  It’s why they don’t live an overflowing rich life.  Mass Indexers? We own it all.  Because in addition to 16-hours living (and indexing the Waking Realm like a worthy explorer does) we get the bonus Prize every night.  Time “off-planet” to visit non-local Realms and index what’s not accessible in waking.

Indexing works best when you remember the bleed zones — creativity, synchronicity, hunches. Don’t lock them in a silo. Let them file themselves across domains. That’s how you build a living library inside your head. You don’t just memorize facts; you map them. And when you map them, you see patterns. The apes may not care, the dim may resist, but if you train your onboard indexing, you end up grokking more of the cloth in less time. That’s what amplification really means: the brain as a tuned instrument instead of a junk drawer.

If you aren’t able to dream?  It’s about permissions.  Who locks you out of such growth?  Why, it’s only you, yourself.

Big Picture

Keep the ontology at the apex. Don’t get trapped in silos. Don’t confuse chairs for authority. Remember that Realms bleed across, that domains are just scaffolding, and that the real work happens when you stitch the cloth instead of hoarding threads. Humans and Mushrooms will keep empire-building, that’s their nature. But the Guild isn’t here for empire. It’s here for coherence.

The all Apes need ontology, the Dim need light & perspective, and all of us need a system that doesn’t waste time. Reality is whole, and the pyramid is the simplest way to see it. Start at the top, respect the levels, and don’t let the sparklies distract you.

The cloth is the thing. Everything else is just noise.

Behold the ontology – just doing so is a mind-bender. Then?  Well, get thee worth and weave now…Life is School.  You’ll take the course review when you die.  so says the science; so says we all.

–Anti-Dave