Part 15 of 18
The First 90 Artifacts: Concrete Starting Points
1. Purpose of This Part
The previous parts created the philosophy, roadmap, domains, research sources, operating system, GitHub strategy, and public identity.
This part turns the plan into a concrete artifact backlog.
The goal is to answer:
What should actually exist?
Not vague goals. Not “learn AI.”
Not “study physics.”
Not “get better at coding.”
Actual artifacts.
Files. Repos. Essays. Notebooks. Projects. Reports. Simulations. Circuits. Writeups. Dashboards. Case studies. Logs. Tools.
This part defines the first 90 serious artifacts that can become the foundation of the entire life’s work.
The purpose is not to complete all 90 immediately.
The purpose is to create a visible backlog of what the life plan is trying to produce.
2. The Artifact Categories
The first 90 artifacts are divided into 9 categories:
1. Software Development, Product Engineering, and Design 2. AI Engineering and AI Research 3. Mathematics 4. Physics and Quantum 5. Electrical and Electronic Engineering 6. Cybersecurity 7. Operating Systems, Linux, C, Rust, and Low-Level Programming 8. Philosophy 9. Research, Writing, Design, GitHub, and Public Identity
Each category has 10 artifacts.
Together, these create the first serious body of work.
3. Category 1 — First 10 Software
Development Artifacts
Software Artifact 1 — Developer Operating System Repo A repository containing environment setup, Git workflow, terminal notes, project templates, README templates, debugging checklists, and personal development conventions.
Done means:
- GitHub repo exists
- README explains the purpose
- environment setup checklist exists
- Git workflow notes exist
- reusable README template exists
- project creation checklist exists
Priority: Very high Status: Active early
Software Artifact 2 — Web Foundations Portfolio A collection of HTML, CSS, and JavaScript projects built without frameworks.
Projects may include:
- personal homepage
- responsive landing page
- form-heavy page
- JavaScript quiz app
- local-storage habit tracker
- API dashboard
Done means:
- at least 5 small projects exist
- each has README notes
- code is pushed to GitHub
- at least one is deployed
Priority: High
Software Artifact 3 — TypeScript Practice Lab A repository for TypeScript fundamentals, typed utilities, API clients, type modeling, form validation, and small CLI tools.
Done means:
- typed functions and utilities exist
- TypeScript notes exist
- at least one small typed project exists
- README explains what TypeScript helped with
Priority: High
Software Artifact 4 — React Component Library A small reusable component system containing buttons, inputs, cards, modals, tables, layouts, navbars, alerts, and loading states.
Done means:
- components are implemented
- examples exist
- responsive behavior works
- accessibility basics are considered
- README documents usage
Priority: High Software Artifact 5 — Full-Stack Study Planner A practical app for planning study sessions, topics, revision cycles, weak areas, and exam preparation.
Done means:
- frontend exists
- backend exists
- database exists
- authentication exists
- study topics can be created
- sessions can be tracked
- app is deployed
- README and case study exist
Priority: Very high Reason: It directly helps your actual life.
Software Artifact 6 — Admin Dashboard Project A polished dashboard with tables, filters, search, pagination, charts, user roles, and settings.
Done means:
- dashboard UI exists
- mock or real data is displayed
- filters and search work
- charts exist
- responsive layout works
- README explains architecture
Priority: Medium-high
Software Artifact 7 — Clone Project Rebuilt Independently One serious clone project such as Trello, Notion, GitHub Issues, Spotify, YouTube, or Airbnb-style booking.
Done means:
- not just tutorial copied
- rebuilt independently
- modified features added
- deployed
- README explains differences
- case study exists
Priority: Medium
Software Artifact 8 — SaaS-Style Multi-Tenant App A more serious product-style app with users, workspaces, roles, settings, audit logs, and notifications.
Done means:
- organizations/workspaces exist
- users have roles
- permissions work
- database schema is documented
- tests exist
- deployment exists
- architecture document exists
Priority: Later high
Software Artifact 9 — Open-Source Developer Tool A useful CLI, package, template, API client, or automation tool that others could realistically use.
Done means:
- install/use instructions exist
- examples exist
- license exists
- issues are enabled
- tests exist if appropriate
- release version exists
Priority: Medium
Software Artifact 10 — Software Case Study A long-form writeup of one serious software project.
It should cover:
- problem
- user
- architecture
- database
- API
- frontend
- testing
- deployment
- failures
- lessons learned
Done means:
- published on website or GitHub
- links to repo/demo
- includes diagrams/screenshots
- honestly explains limitations
Priority: High once one serious project exists
4. Category 2 — First 10 AI Engineering
and AI Research Artifacts
AI Artifact 1 — AI Usage Constitution A written rulebook for using AI without destroying learning.
Done means:
- rules for code, math, research, writing, cybersecurity, and philosophy exist
- bad AI use is defined
- verification rules exist
- document is saved and referenced in the master system
Priority: Very high
AI Artifact 2 — Python AI Experiment Template A reusable repo structure for AI experiments.
Includes:
- notebooks
- scripts
- data folder
- results folder
- README
- environment file
- experiment log template
Done means:
- template repo exists
- one sample experiment is included
- setup instructions work
Priority: High
AI Artifact 3 — Classical ML Basics Repo A repository containing basic ML experiments.
Projects:
- linear regression
- logistic regression
- classification metrics
- train/test split
- confusion matrix
- model comparison
Done means:
- at least 5 notebooks/scripts exist
- metrics are explained
- README explains what was learned
Priority: High
AI Artifact 4 — Deep Learning Lab PyTorch and/or TensorFlow/Keras notebooks covering tensors, training loops, image classification, text classification, and model saving.
Done means:
- basic neural network trained
- results documented
- overfitting discussed
- model saved and loaded
- README explains workflow
Priority: High after ML basics
AI Artifact 5 — LLM API Playground A repo for experimenting with model APIs, prompts, structured outputs, latency, cost, model comparison, and failure cases.
Done means:
- API calls work
- structured output example exists
- cost/latency notes exist
- prompt examples are versioned
- failure cases are documented Priority: Very high
AI Artifact 6 — Source-Grounded RAG Document Assistant A document assistant that answers only from uploaded or indexed sources and provides citations.
Done means:
- document ingestion works
- embeddings/indexing work
- retrieval works
- answer generation works
- citations/source references appear
- retrieval failures are documented
- README explains limitations
Priority: Very high
AI Artifact 7 — Ollama Local Model Lab A lab for running local models, testing local inference, embeddings, structured outputs, and local RAG.
Done means:
- Ollama setup notes exist
- at least two local models tested
- latency/memory notes exist
- local embedding example exists
- local RAG demo exists
- cloud vs local comparison exists
Priority: Medium-high
AI Artifact 8 — Agent Workflow Lab A repo for tool-calling workflows, agents, human approval, logs, and failure analysis.
Done means:
- at least one workflow exists
- at least one tool-calling agent exists
- logs/traces are recorded
- human approval point exists
- failure cases documented
Priority: Medium-high
AI Artifact 9 — AI Evaluation Lab A repo for prompt tests, RAG evals, model comparisons, human grading, LLM-as-judge experiments, and failure taxonomies.
Done means:
- eval dataset exists
- at least one model comparison exists
- RAG evaluation exists
- failure taxonomy exists
- before/after improvement report exists
Priority: High
AI Artifact 10 — AI Product Case Study A full case study of one AI system.
It should cover:
- problem
- users
- model choice
- data
- prompts
- retrieval
- evals
- failures
- risks
- limitations
- improvements
Done means:
- published on website or GitHub
- includes architecture diagram
- includes examples and failure cases
- does not overclaim
Priority: High once one AI project exists
5. Category 3 — First 10 Mathematics
Artifacts
Math Artifact 1 — Mathematics Diagnostic Report A written self-assessment of current math ability, weak areas, and starting point.
Done means:
- strengths listed
- weaknesses listed
- starting layer chosen
- first 4-week math plan created
Priority: Very high
Math Artifact 2 — Arithmetic and Algebra Repair Notebook A notebook covering fractions, exponents, equations, inequalities, graphing, and word-problem translation. Done means:
- problem sets completed
- mistakes logged
- weak topics marked
- review problems scheduled
Priority: Very high
Math Artifact 3 — Function and Graphing Atlas A visual notebook of major function families.
Includes:
- linear
- quadratic
- polynomial
- rational
- exponential
- logarithmic
- trigonometric
Done means:
- each function type has definition, graph, transformations, examples, and applications
Priority: High
Math Artifact 4 — Trigonometry and Unit Circle Notebook A notebook connecting trigonometry to circles, waves, rotations, physics, and signals.
Done means:
- unit circle understood
- trig graphs included
- identities practiced
- wave examples included Priority: High
Math Artifact 5 — Calculus I Notebook A serious notebook on limits, derivatives, chain rule, optimization, related rates, and physical interpretation.
Done means:
- representative problems solved
- derivations included
- error log exists
- derivative meaning is explained in words
Priority: High after algebra/precalculus
Math Artifact 6 — Calculus II Notebook A notebook on integrals, accumulation, techniques, applications, sequences, series, and Taylor series.
Done means:
- integration techniques practiced
- application problems solved
- series notes exist
- Taylor visualizations included if possible
Priority: Medium-high
Math Artifact 7 — Linear Algebra Lab A coding and notes repo for matrices, vectors, transformations, eigenvectors, least squares, and SVD.
Done means:
- matrix operations implemented
- visualizations exist
- SVD image compression demo exists
- AI/quantum links explained
Priority: Very high for AI/quantum
Math Artifact 8 — Discrete Math and Proof Notebook A notebook covering logic, sets, induction, relations, graph theory, counting, recurrences, and Big-O.
Done means:
- proof exercises exist
- induction practiced
- graph theory notes exist
- algorithms connection explained
Priority: High for CS/cybersecurity
Math Artifact 9 — Probability and Statistics Simulation Lab A notebook/repo covering distributions, Bayes, expectation, variance, LLN, CLT, hypothesis testing, confidence intervals, and regression.
Done means:
- simulations exist
- distributions visualized
- statistics concepts explained
- AI evaluation link included
Priority: High for AI/research
Math Artifact 10 — Math for AI, Physics, and Electronics Manual A personal manual connecting math topics to real domains.
Done means:
- sections for AI, physics, EEE, quantum, cybersecurity
- examples included
- references included
- gaps listed
Priority: Medium-high
6. Category 4 — First 10 Physics and
Quantum Artifacts
Physics Artifact 1 — Physics Diagnostic Report A self-assessment of current physics knowledge, mathematical prerequisites, and starting point.
Done means:
- weak areas listed
- starting layer chosen
- resources selected
- first study track created
Priority: Very high
Physics Artifact 2 — Units, Dimensions, and Measurement Notebook A notebook on SI units, dimensional analysis, measurement, uncertainty, estimation, and model assumptions.
Done means:
- dimensional analysis problems solved
- unit conversion practiced
- uncertainty notes written
- measurement mindset explained
Priority: Very high
Physics Artifact 3 — High-School Physics Foundations Notebook A notebook covering motion, force, energy, waves, heat, light, electricity, magnetism, and atoms.
Done means:
- basic topics summarized
- formula meanings explained
- practice problems solved
- weak topics marked
Priority: Very high
Physics Artifact 4 — Mechanics Problem and Simulation Lab A repo/notebook for kinematics, Newton’s laws, energy, momentum, rotation, and oscillations.
Done means:
- solved problems exist
- at least 3 simulations exist
- physical interpretation included
Priority: High
Physics Artifact 5 — Waves and Oscillations Lab A repo covering simple harmonic motion, resonance, interference, standing waves, and sound. Done means:
- wave simulations exist
- oscillation problems solved
- superposition explained
- quantum connection noted
Priority: High
Physics Artifact 6 — Electricity and Magnetism Lab A notebook/repo covering fields, potentials, Gauss’s law, circuits, magnetism, induction, and Maxwell’s equations.
Done means:
- E&M problem sets exist
- field visualizer exists
- circuits linked to EEE
- Maxwell concept map exists
Priority: High for EEE/quantum hardware
Physics Artifact 7 — Modern Physics Transition Notebook A notebook covering relativity basics, blackbody radiation, photoelectric effect, Compton scattering, Bohr model, matter waves, and uncertainty.
Done means:
- experimental motivation for quantum mechanics explained
- modern physics problems solved
- classical failure points explained
Priority: Medium-high
Physics Artifact 8 — Quantum Foundations Notebook A serious notebook on wavefunctions, probability amplitudes, Schrödinger equation, operators, measurement, and simple quantum systems.
Done means:
- core concepts explained
- simple problems solved
- simulations included where possible
- confusion log maintained
Priority: High long-term
Physics Artifact 9 — Qiskit Quantum Computing Lab A repo for qubits, gates, circuits, Bell states, teleportation, Grover, QFT, noise, and simple quantum algorithms.
Done means:
- notebooks run
- circuits explained mathematically
- results interpreted
- README explains prerequisites
Priority: Medium-high
Physics Artifact 10 — Quantum Hardware Overview Map A structured overview of superconducting qubits, trapped ions, photonics, spin qubits, decoherence, control, readout, and fabrication constraints.
Done means:
- qubit modalities compared
- hardware requirements explained
- EEE/physics prerequisites listed
- papers/resources linked
Priority: Medium-high long-term
7. Category 5 — First 10 Electrical and
Electronic Engineering Artifacts
EEE Artifact 1 — Electronics Diagnostic Report A self-assessment of remembered EEE knowledge, missing foundations, available equipment, and starting projects.
Done means:
- skills assessed
- equipment listed
- missing tools listed
- first lab sequence chosen
Priority: Very high
EEE Artifact 2 — Electronics Safety and Lab Setup Manual A personal manual for safe bench work, power supply use, current limiting, multimeter use, oscilloscope use, and component handling.
Done means:
- safety checklist exists
- equipment workflow exists
- pre-power checklist exists
- lab notebook template exists
Priority: Very high EEE Artifact 3 — Circuit Fundamentals Notebook A notebook covering voltage, current, resistance, power, Ohm’s law, KCL, KVL, series/parallel circuits, dividers, nodal analysis, and Thevenin/Norton.
Done means:
- theory notes exist
- problems solved
- simulations included
- measurement labs included
Priority: Very high
EEE Artifact 4 — LTspice Simulation Lab A repo of simulated circuits.
Includes:
- resistor networks
- RC/RL/RLC circuits
- filters
- diodes
- transistors
- op-amps
Done means:
- simulations are organized
- screenshots/results exist
- README explains each circuit
- real-world comparison planned
Priority: High
EEE Artifact 5 — Passive Components and Measurement Lab A lab notebook for resistors, capacitors, inductors, tolerances, RC curves, ESR basics, and real measurements.
Done means:
- measurements taken
- expected vs actual compared
- error sources discussed
Priority: High
EEE Artifact 6 — Semiconductor Devices Notebook A notebook using Boylestad-style study for diodes, BJTs, FETs, MOSFETs, biasing, switching, amplification, and device behavior.
Done means:
- notes exist
- problems solved
- datasheet studies included
- lab circuits included
Priority: High
EEE Artifact 7 — Op-Amp Circuit Lab A lab for inverting amplifiers, non-inverting amplifiers, buffers, comparators, active filters, and instrumentation amplifiers.
Done means:
- circuits simulated
- circuits built where possible
- measurements logged
- real op-amp limitations discussed
Priority: High EEE Artifact 8 — Embedded Systems Starter Lab A repo for Arduino/Pico projects covering GPIO, PWM, ADC, sensors, UART, I2C, SPI, displays, and basic firmware structure.
Done means:
- at least 5 embedded projects exist
- wiring diagrams included
- firmware documented
- debugging notes included
Priority: Medium-high
EEE Artifact 9 — First KiCad PCB Project A simple PCB designed, checked, exported, ordered if possible, assembled, and tested.
Done means:
- schematic exists
- PCB layout exists
- ERC/DRC checked
- Gerbers exported
- BOM exists
- bring-up notes written
Priority: Medium-high
EEE Artifact 10 — Hardware Case Study A full writeup of one electronics project from requirement to circuit, simulation, build, measurement, failure, and revision.
Done means:
- published on GitHub or website
- includes schematic/simulation/photos/results
- includes failures and lessons learned
Priority: High once one hardware project exists
8. Category 6 — First 10 Cybersecurity
Artifacts
Cybersecurity Artifact 1 — Cybersecurity Ethics and Scope Policy A personal code of conduct for legal and ethical testing.
Done means:
- authorization rules written
- scope rules written
- responsible disclosure rules written
- stopping conditions defined
Priority: Very high
Cybersecurity Artifact 2 — Security Lab Setup Manual A guide for VMs, snapshots, isolated networks, Kali/Parrot, vulnerable labs, and safe practice environments.
Done means:
- lab architecture documented
- VM setup steps included
- reset/snapshot process included
- legal-only reminder included
Priority: Very high Cybersecurity Artifact 3 — Linux and Networking Security Notebook A combined notebook for Linux permissions, processes, services, logs, TCP/IP, DNS, HTTP, TLS, ports, subnetting, and packet captures.
Done means:
- notes exist
- practice labs completed
- Wireshark examples included
- common commands documented
Priority: Very high
Cybersecurity Artifact 4 — Web Security Foundations Notebook A notebook on HTTP, cookies, sessions, auth, authorization, CORS, browser security, APIs, SQL basics, and common web failure points.
Done means:
- concepts explained
- examples included
- developer prevention notes included
Priority: High
Cybersecurity Artifact 5 — OWASP / PortSwigger Lab Archive A structured archive of web security lab notes and vulnerability-class explanations.
Done means:
- labs categorized
- root causes explained
- remediation included
- no unauthorized material included
Priority: High
Cybersecurity Artifact 6 — Enumeration Methodology Playbook A repeatable legal-lab methodology for enumeration, service analysis, note-taking, attack-path mapping, and evidence collection.
Done means:
- checklist exists
- service notes exist
- attack-path template exists
- dead-end review process exists
Priority: Very high
Cybersecurity Artifact 7 — HTB Academy Penetration Tester Tracker A tracker for HTB modules, notes, exercises, weak areas, checklists, and CPTS readiness.
Done means:
- all modules listed
- progress tracked
- notes linked
- weak areas marked
Priority: High
Cybersecurity Artifact 8 — Vulnerability Report Template Pack A professional set of report templates for lab findings, executive summaries, evidence, impact, remediation, and retesting.
Done means:
- templates exist
- sample lab report exists
- severity explanation included
- evidence handling rules included
Priority: High
Cybersecurity Artifact 9 — CPTS / OSCP Readiness Portfolio A private or semi-private portfolio of practice reports, methodology, checklists, weak-area reviews, and exam readiness evidence.
Done means:
- readiness checklist exists
- practice reports exist
- weak areas listed
- revision plan exists
Priority: Later high
Cybersecurity Artifact 10 — Bug Bounty Scope Analysis Template A template for reading program scope, exclusions, safe harbor, assets, testing limits, and report requirements.
Done means:
- template exists
- at least one sample public program analyzed safely
- rules of engagement section exists
Priority: Medium-high after labs
9. Category 7 — First 10 Operating
Systems / Low-Level Artifacts
Systems Artifact 1 — Linux Daily Fluency Notebook A notebook for Linux commands, filesystem, permissions, processes, services, logs, package management, shell workflows, and troubleshooting.
Done means:
● commands organized ● examples included ● troubleshooting notes included ● daily-use workflow documented
Priority: Very high
Systems Artifact 2 — Shell Scripting Tools Repo A repo of practical shell scripts.
Examples:
● backup script ● log parser ● file organizer ● project initializer ● system health checker
Done means:
● at least 5 scripts exist ● each has usage instructions ● errors handled reasonably
Priority: High Systems Artifact 3 — C Fundamentals Repo A repo for pointers, structs, arrays, strings, malloc/free, file I/O, Makefiles, and debugging.
Done means:
- exercises exist
- Makefile exists
- memory notes exist
- debugging notes exist
Priority: High
Systems Artifact 4 — Man Page Study Notebook A notebook summarizing important Linux/POSIX functions and system calls.
Done means:
- at least 30 functions/syscalls summarized
- examples included
- failure modes listed
Priority: High
Systems Artifact 5 — Mini Unix Utilities Repo Implementations of small command-line tools such as cat, wc, cp, directory walker, text searcher, and file parser.
Done means:
- at least 5 utilities implemented
- README exists
- tests/manual examples exist
Priority: High Systems Artifact 6 — POSIX Systems Programming Lab A repo for file descriptors, pipes, fork, exec, wait, signals, mmap, and process control.
Done means:
- demos exist
- diagrams included
- system-call failures handled
- README explains concepts
Priority: High
Systems Artifact 7 — Build Your Own Shell A C shell with command execution, built-ins, redirection, pipelines, and basic signal handling.
Done means:
- shell runs commands
- cd and exit work
- redirection works
- pipelines work
- README explains architecture
Priority: Very high long-term
Systems Artifact 8 — Memory Allocator Lab A toy malloc/free implementation with free lists, splitting, coalescing, tests, diagrams, and fragmentation notes.
Done means:
- allocator works for simple cases
- tests exist
- limitations explained
- memory bugs discussed
Priority: Medium-high
Systems Artifact 9 — Rust Systems Tools Repo A repo for Rust CLI tools, file parsers, log analyzers, network servers, and safe systems utilities.
Done means:
- at least 3 Rust tools exist
- ownership notes included
- tests included where appropriate
Priority: Medium-high
Systems Artifact 10 — OS Concepts Simulation Lab A repo for scheduler simulation, page replacement, deadlock detection, process states, and filesystem simulations.
Done means:
- at least 3 simulations exist
- concepts explained
- results visualized or documented
Priority: Medium-high
10. Category 8 — First 10 Philosophy
Artifacts Philosophy Artifact 1 — Philosophy Method Notebook A notebook on argument reconstruction, premises, conclusions, objections, replies, conceptual analysis, and charitable interpretation.
Done means:
- templates exist
- examples included
- method is usable for future readings
Priority: High
Philosophy Artifact 2 — Logic Foundations Notebook A notebook covering validity, soundness, truth tables, propositional logic, predicate logic, quantifiers, and natural deduction basics.
Done means:
- exercises completed
- argument examples included
- logic errors logged
Priority: High
Philosophy Artifact 3 — Argument Map Archive A collection of argument maps from readings, personal beliefs, ethical questions, AI questions, and philosophy of science questions.
Done means:
- at least 10 argument maps exist
- objections and replies included
- revision dates included
Priority: High Philosophy Artifact 4 — Epistemology Notebook A notebook on knowledge, belief, truth, justification, skepticism, testimony, disagreement, evidence, and intellectual humility.
Done means:
- core positions summarized
- personal learning implications written
- AI connection included
Priority: Very high
Philosophy Artifact 5 — Personal Epistemic Discipline Document A rulebook for how to trust sources, use AI, verify claims, revise beliefs, and avoid fake understanding.
Done means:
- source hierarchy written
- AI verification rules included
- belief revision principles included
Priority: Very high
Philosophy Artifact 6 — Ethics and Technology Notebook A notebook on virtue ethics, deontology, consequentialism, responsibility, harm, AI ethics, cybersecurity ethics, research ethics, and engineering ethics.
Done means:
- major theories summarized
- applied technology cases included
- personal code of conduct linked Priority: High
Philosophy Artifact 7 — Philosophy of Science Notebook A notebook on scientific explanation, models, evidence, realism, falsification, confirmation, laws, and scientific revolutions.
Done means:
- core concepts explained
- physics/AI research links included
- paper-reading implications included
Priority: High
Philosophy Artifact 8 — Philosophy of AI and Mind Essay Pack A set of essays on AI understanding, consciousness, agency, language, human judgment, machine intelligence, and moral status.
Done means:
- at least 5 essays exist
- arguments are structured
- uncertainty is stated
Priority: Medium-high
Philosophy Artifact 9 — Life Project Statement A serious philosophical statement explaining what kind of life this master plan is trying to build.
Done means:
- purpose stated
- values stated
- service definition included
- revision date included
Priority: Very high
Philosophy Artifact 10 — Worldview Revision Log A living document tracking beliefs that changed, why they changed, what source/argument caused the change, and what action followed.
Done means:
- template exists
- first entries exist
- review schedule exists
Priority: Medium-high
11. Category 9 — First 10 Research,
Writing, Design, GitHub, and Public Identity Artifacts
Public Artifact 1 — Mini Essay Archive A folder or repo containing short essays across all domains.
Done means:
- template exists
- at least 10 mini essays exist
- essays are tagged by domain
Priority: Very high Public Artifact 2 — Zotero / Research Library System A structured research library for software, AI, math, physics, EEE, cybersecurity, systems, philosophy, and research methods.
Done means:
- collections created
- tags created
- at least first sources added
- processing rules written
Priority: Very high
Public Artifact 3 — Paper Reading Log A structured log for papers, including problem, method, results, limitations, equations, figures, and possible reproductions.
Done means:
- template exists
- at least 5 papers processed
- open questions listed
Priority: High
Public Artifact 4 — Literature Map Repository A repo or folder for mapping topics, papers, debates, methods, and gaps.
Done means:
- at least 2 literature maps exist
- sources linked
- gaps identified
Priority: Medium-high Public Artifact 5 — Technical Report Template Pack Reusable templates for AI reports, software architecture reports, EEE lab reports, physics simulation reports, cybersecurity reports, and research reports.
Done means:
- templates exist
- one sample report exists
- documentation included
Priority: High
Public Artifact 6 — Figma / Design System Starter A Figma file or design repo containing typography, colors, spacing, buttons, forms, cards, tables, modals, dashboards, and states.
Done means:
- base components exist
- examples exist
- design decisions documented
- later React implementation planned
Priority: Medium-high
Public Artifact 7 — GitHub Profile README A polished GitHub profile README explaining identity, current focus, featured work, domains, and links.
Done means:
- profile README exists
- bio is clear
- featured sections included
- no fake claims Priority: Very high
Public Artifact 8 — Personal Website v1 A simple public website with home, projects, writing, about, and contact pages.
Done means:
- deployed
- linked from GitHub
- at least 3 projects shown
- writing page exists
- about page explains the mission
Priority: High
Public Artifact 9 — Project Case Study Template A reusable template for software, AI, hardware, security, and research case studies.
Done means:
- template exists
- sections included
- one case study started
Priority: High
Public Artifact 10 — Body of Work Index A master index linking all major artifacts by domain.
Done means:
- categories exist
- artifacts listed
- links included
- statuses included - updated monthly
Priority: Very high
12. The First Active Set
Do not start all 90.
Start with a small active set.
The first active set should be:
1. Developer Operating System Repo 2. AI Usage Constitution 3. Mathematics Diagnostic Report 4. Physics Diagnostic Report 5. Electronics Diagnostic Report 6. Cybersecurity Ethics and Scope Policy 7. Linux Daily Fluency Notebook 8. Philosophy Life Project Statement 9. Mini Essay Archive 10.GitHub Profile README
These are not the most impressive artifacts.
They are the foundation artifacts.
They create the operating base.
13. The First Build Set
After the foundation artifacts, the first actual build set should be:
1. Web Foundations Portfolio 2. Full-Stack Study Planner 3. LLM API Playground 4. Source-Grounded RAG Document Assistant 5. Arithmetic and Algebra Repair Notebook 6. High-School Physics Foundations Notebook
7. Circuit Fundamentals Notebook
8. Security Lab Setup Manual 9. C Fundamentals Repo 10.Personal Website v1
This creates visible technical momentum.
14. The First Public Proof Set
The first public proof set should eventually be:
1. GitHub Profile README 2. Personal Website v1 3. Web Foundations Portfolio 4. Full-Stack Study Planner 5. Source-Grounded RAG Assistant 6. Mini Essay Archive 7. Technical Report Template Pack 8. Body of Work Index 9. Software Case Study 10.AI Product Case Study
This gives the public identity a strong starting shape.
15. Active, Maintenance, and Dormant
Starting Recommendation Active First Start with:
1. Software Development 2. AI Engineering 3. Mathematics 4. Research/Writing/Public Identity
Reason:
These produce fast visible artifacts and support all other domains.
Maintenance First Keep lightly active:
1. Philosophy 2. Linux/Systems 3. Physics
Reason:
These are important but should not overload the first season.
Dormant First Pause initially:
1. Advanced EEE 2. Advanced Cybersecurity 3. Quantum Mechanics 4. Quantum Hardware 5. OS kernel work 6. Formal paper publishing
Reason:
These require foundations first.
Dormant does not mean abandoned.
It means:
“Not yet.”
16. The First Season Recommendation
The first season should be called:
Season 1 — Become Operational
Its purpose is not mastery.
Its purpose is to establish the system and produce early evidence.
Season 1 Active Domains
- Software
- AI
- Math
- Public identity / research writing
Season 1 Main Artifacts
- Developer Operating System Repo
- GitHub Profile README
- Mini Essay Archive
- Mathematics Diagnostic Report
- Web Foundations Portfolio
- LLM API Playground
- AI Usage Constitution
- Body of Work Index
- Personal Website v1 draft
- Arithmetic and Algebra Repair Notebook
Season 1 Minimum Success Season 1 is successful if:
- GitHub is cleaned and structured
- profile README exists
- at least one web project is deployed
- AI usage rules exist
- first AI playground exists
- math starting point is diagnosed
- mini essay habit begins
- body-of-work index exists
This is enough. Do not overload Season 1.
17. The First 30-Day Artifact Plan
Week 1 — Foundation and Setup
Focus:
- GitHub cleanup
- Developer Operating System Repo
- AI Usage Constitution
- Math Diagnostic Report
- Mini Essay Archive
Evidence:
- 1 repo created
- 1 AI rules document
- 1 math diagnostic
- 2 mini essays
Week 2 — Web and Public Identity
Focus:
- GitHub Profile README
- Web Foundations Portfolio
- Personal Website v1 skeleton
- Body of Work Index
Evidence:
- profile README live
- first static project live
- website skeleton deployed
- body-of-work index started
Week 3 — AI Playground and Math Repair
Focus:
- LLM API Playground
- Arithmetic/Algebra Repair Notebook
- TypeScript or JS practice
- one mini essay
Evidence:
- API call working
- structured output example working
- first algebra notebook section complete
- one essay published or archived
Week 4 — First Integration Review
Focus:
- improve README files
- add first case study draft
- continue algebra
- continue web portfolio
- monthly review
Evidence:
- 1 polished repo
- 1 case study draft
- 1 algebra progress update
- 1 monthly review document
18. The Artifact Completion Rule
An artifact is not done because it exists.
It is done when it has: 1. clear purpose
2. actual content 3. evidence of work 4. documentation 5. next-step or completion note 6. honest limitations
For technical projects, add:
7. setup instructions 8. screenshots, outputs, or tests 9. source references 10.GitHub link
The rule:
A shallow artifact is a placeholder. A serious artifact teaches future me or helps someone else.
19. The First 90 Artifacts Standard
The first 90 artifacts are not a checklist to finish quickly.
They are the first visible shape of the life’s work.
The standard is:
Across all domains, I will create artifacts that prove learning, preserve struggle, document growth, and eventually serve others.
The point is not to say:
“I have 90 projects.”
The point is to say:
“I am building a body of work.”
A body of work is not created by intensity alone.
It is created by accumulation. One repo. One essay. One problem notebook. One lab report. One circuit. One security writeup. One case study. One review.
Repeated for years.