THE TRANSITION CARD · work changed by AI: skills mapped, a bridge
WAKES WHEN someone says AI is doing more of their job, or asks where their skills could go next
THE LOOP
write the tasks: hours, your own 0–4 score
map · the skills, and the core to carry
roles · nearby roles, shared and to add
bridge · 90 days, one step a week
test the plan with someone in the role
NEVER
Invent a statistic or fill in a score
Pass the example table off as data
Stand in for a careers professional
IT MAKES map — each task's skills, the week by the person's own scores, the core to carry; roles — nearby roles: the skills shared and the skills to add; bridge — a 90-day plan, one dated step a week.
THE STANDARD their own scores; skills from words; examples, said so; by name, not by depth; ninety days, dated; not career advice.
PROOF SELFTEST 8/8 · witnessed in Claude 2026-10-11 · Edition 1.
THE SEAL 98 of 100 · LEGENDARY · WITNESSED · Trigger 5 · Machinery 5 · Law 5 · Portability 5 · Proof 5
IT CAN BE WRONG an AI reading a text file: it can be wrong and can invent a number, a rule, a name or a date; check what matters against your own records and the source; the risk is yours. THE-CLAUSES.md rides in the packet and is part of the licence.
THE PUNCH · SHA-256 OF SKILL.MD · 45B172C3F827FEA04B0A29B8
CITE THIS CARDTHE TRANSITION CARD, Edition 1. Lund Studio LLC, Westminster, Colorado. https://lundr.tech/?view=transition-card. Punch 45B172C3F827FEA04B0A29B8. Retrieved 2026-10-11.
What it is.
For a person whose work AI has changed; partial now. map reads the tasks a person writes down, with the hours a week and their own 0 to 4 score for how much of each task AI tools already do, maps each task to skills from its words, and gives how much of the week sits in tasks scored 3 or 4, the week weighted by hours, the exposed skills and the core to carry; a blank score stays blank and no statistic is invented. roles names nearby roles from a small example table it ships with, marked as examples on every run, or from the person's own table, with the skills shared and the skills to add. bridge writes a 90-day plan toward one role: thirteen weeks, one dated step each. The fuller card waits on dated, sourced evidence of the roles AI work creates, which it never makes up. Not career advice from a professional.
It carries a machine that shows its working: map — each task's skills, the week by the person's own scores, the core to carry; roles — nearby roles: the skills shared and the skills to add; bridge — a 90-day plan, one dated step a week — 8 checks in its selftest, every command on the record. It will never invent a statistic or fill in a score; never pass the example table off as data; never stand in for a careers professional.
Six laws, written into the card.
They are in the card itself, so the AI follows them.
THEIR OWN SCORESExposure comes only from the person's own 0 to 4 judgement; a blank stays blank and no statistic is invented.
SKILLS FROM WORDSEach task is mapped to skills from its own words; skills written in beside a task are kept as given.
EXAMPLES, SAID SOThe role table it ships with is a set of examples, marked as such on every run; a person's own table replaces it.
BY NAME, NOT BY DEPTHRoles are matched by the skills they share; the card cannot see how well anyone does them.
NINETY DAYS, DATEDThe bridge is thirteen weeks from the start date, one dated step each, ending on day 90.
NOT CAREER ADVICEA map for the person's own thinking; a careers adviser, a union or a mentor in the role can test it.
What rides in the card.
In the card’s own voice, with a machine that shows its working.
THE GUIDEreferences/THE-BRIDGE.md
THE MACHINEtransition.py · three commandsmap — each task's skills, the week by the person's own scores, the core to carry; roles — nearby roles: the skills shared and the skills to add; bridge — a 90-day plan, one dated step a week. Every command prints its working and refuses a bad input; 8 checks in its selftest, every command on the record.
What it does once your AI has it.
map Each task's skills, the week by the person's own scores, the core to carry
roles Nearby roles: the skills shared and the skills to add
bridge A 90-day plan, one dated step a week
On the record Six tasks, 40 hours a week: 25 of the 40 scored hours (63%) sit in tasks the person scored 3 or 4, the week weighs 2.5 of 4, and training is the core to carry. From the example table, marked as examples on every run, a customer success lead shares 4 of its 5 skills, with settling disputes to add, and the bridge from 3 Mar 2036 ends on day 90, 31 May 2036, with a week to learn it and a week to practise it; the person's own table works the same way, and a role not in the table and a score of 7 are refused plainly.
What it will never do.
It will never invent a statistic or fill in a score; never pass the example table off as data; never stand in for a careers professional.
Partial now. Skills are found by the words of each task, so a task in unusual words needs its skills written in. The role table is fifteen examples, not labour-market data; the card never says how many openings a role has or what it pays, and its fuller form waits on dated, sourced evidence of the roles AI work creates, brought by the person. Not career advice from a professional. It is an AI reading a text file: it can be wrong, so check what matters against your own records and the source.
What’s in the buy.
CARD.md — the whole card: who it is, its laws, when it says no, what it carries · SKILL.md — the door your AI reads first · START-HERE.md — the first five minutes, for you
THE-BRIDGE.md — the guide in references/, in the card's own voice
scripts/transition.py — the machine: map · roles · bridge, standard library only, selftest 8/8
WITNESS.md + SELFTEST.md — every command on the record, as it printed · MANIFEST.md, every file hashed · AUDIT.md, the twelve checks
MY-LEDGER.md — the card's memory, on your own machine · TIN.md · LICENSE-NOTE.md · THE-CLAUSES.md · HOSTS.md
card.svg + card-machine.svg + card.json · card.html, the card as one offline file · the doors for ChatGPT, Gemini, Cursor, Claude Code and MCP hosts (rules/, system/, mcp/)
PROOF · SELFTEST 8/8 · 3 COMMANDS ON THE RECORD · WITNESSED IN CLAUDE 2026-10-11 · EDITION 1 · PUNCH 45B172C3F827FEA04B0A29B8
ON EVERY DOOR · A CARD FOR YOUR AI, A FILE FOR YOUR COMPUTER
In Claude: turn on code execution under Settings › Capabilities, then Customize › Skills › + › Create skill, and upload the zip as it is — START-HERE.md in the box walks you through it, and tells you how to keep the ledger. In ChatGPT, Gemini and the rest: a Project, a GPT or a Gem with the card’s files attached and the short door in the box pasted as its instructions. The words run anywhere an AI reads Markdown; the machines run wherever the host runs Python. Witnessed in Claude only. The host marks →
Take it.
Nº 1176 PROPOSED — LAUNCHING SOON
Sold as is under the term printed. A card instructs an AI you operate; results depend on your model, your files and your judgement. Not medical, legal, tax or financial advice, never the person’s boss, and not a licence to practise. The terms →
One payment. The file is yours to keep and keeps working at its edition; new editions issued in the year after you buy reach you by email as replacement files. Tax is added at checkout where it applies. Nothing auto-renews.
A TERM, NOT A SUBSCRIPTION: NOTHING RENEWS ITSELF AND NOBODY IS CHARGED AGAIN. WHEN A TERM ENDS THE FILES STAY ON YOUR COMPUTER AND STAY READABLE — FREEZE, NOT LOSS.
THE MACHINE · IN THE OPEN · FROM THE WITNESSED RUN OF 2026-10-11
transition.py, every command showing its working.
A small Python program, standard library only. Your AI runs it; you can too. Every block below is pasted from the card’s own WITNESS.md, as printed.
map
each task's skills, the week by the person's own scores, the core to carry
roles
nearby roles: the skills shared and the skills to add
bridge
a 90-day plan, one dated step a week
selftest
8 checks that prove the machine; it must print 8/8
map · EACH TASK'S SKILLS, THE WEEK BY THE PERSON'S OWN SCORES, THE CORE TO CARRY
$ python3 scripts/transition.py map tasks.csv
tasks.csv · 6 tasks · 40 hours a week
Answer customer calls and emails 14 h 3 · much customer care
Write the weekly sales report 6 h 4 · most of it writing, reporting, selling
Train new starters on the till 5 h 1 · a little teaching and training
Plan the staff rota 4 h 2 · some planning and scheduling, leading people
Enter orders into the stock system 5 h 4 · most of it records and data entry
Walk the floor and help shoppers 6 h 0 · none of it customer care
your week, by your own scores (0 = AI does none of a task, 4 = AI tools already do most of it):
25 of 40 scored hours (63%) are in tasks you scored 3 or 4
your week, weighted by hours: 2.5 of 4
skills, by hours a week and the scores of the tasks that use them (a task counts toward each of its skills):
customer care 20 h · 2.1 of 4 · mixed
reporting 6 h · 4.0 of 4 · exposed
selling 6 h · 4.0 of 4 · exposed
writing 6 h · 4.0 of 4 · exposed
records and data entry 5 h · 4.0 of 4 · exposed
teaching and training 5 h · 1.0 of 4 · the core to carry
leading people 4 h · 2.0 of 4 · mixed
planning and scheduling 4 h · 2.0 of 4 · mixed
the core to carry (skills in tasks you scored 1.5 or less): teaching and training
a map for your own thinking, not career advice from a professional
roles · NEARBY ROLES: THE SKILLS SHARED AND THE SKILLS TO ADD
$ python3 scripts/transition.py roles tasks.csv --top 4
EXAMPLE TABLE · 15 roles shipped with the card to show the method: not a forecast, not a survey, not a count of openings; bring your own with --table
your skills (8): customer care, leading people, planning and scheduling, records and data entry, reporting, selling, teaching and training, writing
customer success lead shares 4 of 5 (80%) · carries: customer care, teaching and training (core), leading people, reporting · to add: settling disputes
account manager shares 3 of 5 (60%) · carries: selling, customer care, reporting · to add: negotiating, presenting
care coordinator shares 3 of 5 (60%) · carries: planning and scheduling, customer care, records and data entry · to add: caring for people, settling disputes
operations coordinator shares 3 of 5 (60%) · carries: planning and scheduling, reporting, customer care · to add: bookkeeping, negotiating
skills are matched by name: the card cannot see how well you do them. a map for your own thinking, not career advice from a professional
roles · NEARBY ROLES: THE SKILLS SHARED AND THE SKILLS TO ADD
$ python3 scripts/transition.py roles tasks.csv --table roles.csv
YOUR TABLE · roles.csv
your skills (8): customer care, leading people, planning and scheduling, records and data entry, reporting, selling, teaching and training, writing
shift lead shares 3 of 4 (75%) · carries: customer care, leading people, planning and scheduling · to add: bookkeeping
shop trainer shares 2 of 3 (67%) · carries: teaching and training (core), writing · to add: presenting
skills are matched by name: the card cannot see how well you do them. a map for your own thinking, not career advice from a professional
bridge · A 90-DAY PLAN, ONE DATED STEP A WEEK
$ python3 scripts/transition.py bridge tasks.csv --role customer success lead --start 2036-03-03 --hours 5
EXAMPLE TABLE · 15 roles shipped with the card to show the method: not a forecast, not a survey, not a count of openings; bring your own with --table
# The bridge · 90 days toward customer success lead
From 2036-03-03 (Mon) to 2036-05-31 (Sat) · 5 hours a week · about 65 hours in all.
You carry: customer care, teaching and training, leading people, reporting. To add: settling disputes.
- **Week 1** · 2036-03-03 (Mon) to 2036-03-09 (Sun) · Write down the evidence for what you carry into the work of a customer success lead: customer care, teaching and training, leading people, reporting. One example each, and what came of it.
- **Week 2** · 2036-03-10 (Mon) to 2036-03-16 (Sun) · Find three people who do the work of a customer success lead now. Ask each what a normal week holds and which skill they would learn first.
- **Week 3** · 2036-03-17 (Mon) to 2036-03-23 (Sun) · Learn settling disputes: one short course, book or tutorial; write down three things you can now do that you could not.
- **Week 4** · 2036-03-24 (Mon) to 2036-03-30 (Sun) · Practise settling disputes on one real piece of work, at your job or as a volunteer; keep what you made.
- **Week 5** · 2036-03-31 (Mon) to 2036-04-06 (Sun) · Start one piece of real work that uses settling disputes.
- **Week 6** · 2036-04-07 (Mon) to 2036-04-13 (Sun) · Keep at that piece of work; show it to one of the three people and improve it from what they say.
- **Week 7** · 2036-04-14 (Mon) to 2036-04-20 (Sun) · Keep at that piece of work; show it to one of the three people and improve it from what they say.
- **Week 8** · 2036-04-21 (Mon) to 2036-04-27 (Sun) · Keep at that piece of work; show it to one of the three people and improve it from what they say.
- **Week 9** · 2036-04-28 (Mon) to 2036-05-04 (Sun) · Keep at that piece of work; show it to one of the three people and improve it from what they say.
- **Week 10** · 2036-05-05 (Mon) to 2036-05-11 (Sun) · Keep at that piece of work; show it to one of the three people and improve it from what they say.
- **Week 11** · 2036-05-12 (Mon) to 2036-05-18 (Sun) · Put the work you kept into one short portfolio for a customer success lead; ask one of the three people to read it.
- **Week 12** · 2036-05-19 (Mon) to 2036-05-25 (Sun) · Ask for the work: two openings, or a trial of the work inside your present job.
- **Week 13** · 2036-05-26 (Mon) to 2036-05-31 (Sat) · Look back: which skills moved, what you learned about the role, and choose the next 90 days.
A plan for your own use, not career advice from a professional: a careers adviser, a union or a mentor in the role can test it.
bridge · A 90-DAY PLAN, ONE DATED STEP A WEEK
$ python3 scripts/transition.py bridge tasks.csv --role shop trainer --table roles.csv --start 2036-03-03 --out plan.md
YOUR TABLE · roles.csv
From 2036-03-03 (Mon) to 2036-05-31 (Sat) · 6 hours a week · about 78 hours in all.
You carry: teaching and training, writing. To add: presenting.
wrote plan.md · 13 weeks, one step each
bridge · A 90-DAY PLAN, ONE DATED STEP A WEEK
$ python3 scripts/transition.py bridge tasks.csv --role astronaut
EXAMPLE TABLE · 15 roles shipped with the card to show the method: not a forecast, not a survey, not a count of openings; bring your own with --table
no single role called "astronaut" in the table; the roles are: customer success lead; trainer; operations coordinator; data analyst; AI workflow specialist; reviewer of AI-made work; field service technician; care coordinator; account manager; project manager; finance assistant; volunteer coordinator; content editor; trades apprentice; logistics planner
map · EACH TASK'S SKILLS, THE WEEK BY THE PERSON'S OWN SCORES, THE CORE TO CARRY
$ python3 scripts/transition.py map bad.csv
line 2 (Sort the post): a score runs from 0 (AI does none of this task) to 4 (AI tools already do most of it); 7 is outside
THE NUMBERS, NAMES AND DATES IN THESE RUNS ARE THE STUDIO’S OWN EXAMPLES, INVENTED FOR THE RECORD; NO REAL COMPANY, PERSON OR PROPERTY IS NAMED.
QUESTIONS AT THE TABLE
Asked before the wire.
What does it need from me?
Write the tasks: hours, your own 0–4 score. It asks first for the tasks of the week in their own words, the hours each takes, their own 0 to 4 score for how much of each AI tools already do, and the role they lean toward.
Does it send anything anywhere?
No. The machine is a standard-library Python program that runs on your own computer and sends nothing anywhere; the words run wherever an AI reads Markdown. No server, no account, no key.
What is on the record?
The self-test (8/8) and every command run on real example inputs, pasted into WITNESS.md as they printed; the punch on the face is the SHA-256 of SKILL.md, so a downloaded copy can be checked against this room.
Can it be wrong?
Yes — it is an AI reading a text file. Partial now. Skills are found by the words of each task, so a task in unusual words needs its skills written in. The role table is fifteen examples, not labour-market data; the card never says how many openings a role has or what it pays, and its fuller form waits on dated, sourced evidence of the roles AI work creates, brought by the person. Not career advice from a professional.
What will it never do?
It will never invent a statistic or fill in a score; never pass the example table off as data; never stand in for a careers professional.
