Learning Paths

Topic: AI in Medicine Benchmarks

Clarify where models reliably assist in a clinical workflow — for example, extracting facts, surfacing relevant literature, and drafting structured suggestions — when used with explicit guardrails, validation checks, and human review; and where models are prone to hallucination or brittle reasoning and must be avoided or tightly constrained.

3

Medical Benchmarks

Review model performance in radiology, dermatology, pathology, and early sepsis detection to understand where AI meets clinical standards and where more validation is needed.

4

Genomic Acceleration

Topic: AI in Genetics

Leverage tools that triage genomic variants and compress protein-level insights into short, actionable summaries for clinical or research decision-making.

5

Documentation Flywheel

Topic Section: Referral Patterns

Iterate drafts through critique and refinement to produce structured, auditable outputs that integrate into clinical records and workflows.

6

Referral & Patient Voice

Generate clear referral notes, discharge instructions, and patient-facing summaries so all parties understand next steps and rationale.

7

Greater Impact

Examine equity, access, and workforce transition implications so AI adoption supports fair outcomes and strengthens health system resilience.

8

Governance & Safety

Section: Vision & Problem

Adopt PHI-safe prototyping practices and define operational boundaries to protect patient data while testing and deploying clinical AI tools.

🏛️Policy Research & Analysis

Research policy issues efficiently with structured briefing templates, data analysis workflows, and stakeholder communication guides. Make evidence-based decisions faster.

1

Understand the Core Problem

Topic: An Engineer's Guide to UBI

Understand systems-level economic challenges from AI, including displacement pathways, income effects, and the policy levers that can mitigate harm.

2

Analyze the Evidence

Research: UBI Pilot Program Outcomes

Examine empirical results from cash-based pilots to ground policy choices in evidence and realistic expectations.

3

Explore Policy Frameworks

Article: AI Transition Policy Frameworks

Analyze actionable policy frameworks that address workforce transitions, fiscal strategies, and regulatory guardrails for AI adoption.

💻Software Development Acceleration

Build better software faster using AI-assisted coding, testing, and documentation. Includes code review templates, debugging workflows, and technical specification guides.

1

Master the Tools

Topic: Your Private AI Stack

Prototype a local model stack to learn trade-offs around privacy, cost, latency, and reliability before scaling to production.

2

Track the Frontier

Hub: AI Model Leaderboards

Track benchmark deltas and changelogs so technical choices align with the models' real-world strengths and limitations.

3

Consider the Societal Stack

Topic: An Engineer's Guide to UBI

Tie product and architectural decisions to their downstream social and economic effects to build responsibly and sustainably.

4

Map Capability Trajectory

Topic: Machine Intelligence Spectrum

Monitor capability trends and pacing signals to anticipate when automation will meaningfully alter assumptions in your domain.

5

Track the Ecosystem

Topic: Major AI Models Landscape

Maintain an up-to-date map of major models, their costs, latencies, and licensing to guide integration and vendor decisions.

⚙️Product Development & Launch

Take ideas from concept to market with validation frameworks, prototype testing, supplier sourcing, and launch checklists. Reduce time-to-market and startup costs.

1

Problem Frame

Define the target user, their core pain point, and why the problem matters now so your product solves a real need at the right time.

2

Validate Demand

Section: Market Validation

Validate demand through targeted interviews and signal checks to ensure early adopters will pay and engage before heavy investment.

3

Prototype & Risk

Section: Rapid Prototyping

Prototype quickly to test physical constraints and technical feasibility, reducing late-stage surprises and development costs.

4

Sourcing & Cost

Section: Sourcing

Create a resilient BOM and cost model that anticipates supplier variability and protects margins under real-world supply shocks.

5

Compliance Path

Section: Certification

Map regulatory and certification steps early so compliance activities are scheduled into development rather than tacked on later.

6

Pilot & Launch

Section: Pilot

Run pilots with clear KPIs to validate product-market fit and operational readiness before broader launch.

🧭Community Resource Navigation

Find local services, volunteer opportunities, and civic engagement options. Connect with resources for housing, healthcare, employment, and community organizing.

1

Understand the Changes

About: Our Philosophy

Learn why AI matters, how it interacts with everyday systems, and practical steps individuals can take to adapt and act.

2

Find Local Services

Article: Community Services Navigator

Locate local healthcare, employment, housing, and social services with instructions on accessing support and relevant contact points.

3

Volunteer & Get Involved

Article: Community Volunteer Opportunities

Find vetted volunteer opportunities and actionable steps to help neighbors, build social capital, and strengthen local resilience.

4

Advocate for Policy

Topic: An Engineer's Guide to UBI

Explore policy options, how to engage with representatives, and concise talking points for civic advocacy.

5

Build Local Networks

Article: Community Building Guide

Practical tactics for connecting neighbors, organizing groups, and setting up mutual aid structures to increase community support.

6

Stay Informed & Engaged

Hub: AI News Outlets

Follow reliable sources and participate in local civic meetings and discussions.

🧬Biotech & Drug Development

Apply AI to drug discovery, clinical trials, and regulatory compliance. Includes workflows for target identification, trial optimization, and FDA submission preparation.

1

Grasp Model Foundations

Topic: Major AI Models Landscape

Understand which data architectures, storage formats, and privacy controls are required for biological datasets so analyses remain reproducible, auditable, and compliant.

2

Drug Discovery Pipeline

Article: AI in Drug Discovery

Use AI to assist target identification, accelerate lead optimization, and propose molecular designs while embedding experimental constraints and validation checkpoints.

3

Clinical Trial Optimization

Article: AI in Clinical Research

Leverage models to improve cohort selection, simulate trial designs, and provide outcome predictions while preserving statistical rigor and human oversight.

4

Regulatory & Compliance

Article: AI Regulatory Frameworks

Follow regulatory guidance, build validation strategies, and maintain robust audit trails so model-assisted discoveries meet compliance and can be independently reviewed.

5

Personalized Medicine

Topic: AI in Genetics & Genomics

Support biomarker discovery and precision dosing by combining model-driven hypotheses with experimental validation and careful uncertainty quantification.

6

Manufacturing & Supply Chain

Article: Smart Pharma Manufacturing

Apply AI to optimize lab processes, enforce quality control, and predict equipment maintenance needs to increase throughput and reduce downtime.

🚀Startup Operations

Build and scale your startup with proven frameworks for market validation, team building, fundraising, and operational efficiency. Focus on execution over theory.

1

Local Capability Baseline

Establish a private experimentation stack to test models, measure cost/latency trade-offs, and validate behavior before committing to public APIs or large-scale deployments.

2

Workflow Discipline

Define repeatable prompt → evaluate → refine loops, with shared templates and evaluation metrics so the team reliably produces reproducible, auditable outputs.

3

Market / Tech Scan

Topic: Major AI Models

Regularly map model capabilities, costs, and license terms to prioritize integrations that match product requirements and long-term constraints.

4

Trajectory Awareness

Track capability trends and pacing signals so you can anticipate when automation will change assumptions about effort, cost, or required human oversight.

5

Macro Impact Lens

Consider downstream social and workforce effects when designing product choices so your solutions remain resilient and equitable as the landscape evolves.

🗺️Supply Chain Optimization

Optimize logistics with demand forecasting, route planning, and inventory management. Reduce costs and improve delivery reliability through data-driven decisions.

1

Capability Frame

Topic: AI in Logistics (Planned)

Understand practical planning limits for model-driven automation, including horizon, uncertainty, and where human oversight is still required.

2

Data Leverage

Learn how forecasting, routing, and anomaly detection support operations, and what validation and monitoring are required to act on model outputs confidently.

3

Local Stack

Keep KPIs and document analysis in private stacks to protect sensitive operational data while iterating on models and workflows.

4

Workflow Pattern

Standardize experiment loops with clear hypotheses, metrics, and roll-back plans so automation changes are predictable and measurable.

5

Macro Impact

Plan for labor displacement and resilience by identifying retraining pathways, automation thresholds, and policy levers to support community stability.

👩‍🏫Adaptive Teaching Methods

Create personalized learning experiences with adaptive content, assessment tools, and student progress tracking. Maintain privacy while improving outcomes.

1

Capability Baseline

Set realistic expectations for personalization by measuring data needs, failure modes, and the human effort required to maintain tailored experiences.

2

Content Drafting

Use structured prompt templates and iterative reviews to draft lessons, quizzes, and feedback loops that align with learning objectives and assessment criteria.

3

Local Privacy

Topic: AI in Education (Planned)

Process sensitive student data in local or private stacks to preserve privacy while experimenting with personalization features.

4

Future Topic

Explore adaptive sequencing and automated, timely feedback to enhance learning outcomes at scale.

5

Societal Angle

Assess equity and access implications so educational tech benefits diverse learners and avoids widening opportunity gaps.

🗓️Project Planning & Execution

Transform complex projects into clear action plans with timeline management, resource allocation, and stakeholder coordination. Includes templates for any project type.

1

Workflow Pattern

Provide reusable prompt templates and planning skeletons that accelerate consistent plan generation across project types.

2

Local Stack

Store itinerary and schedule drafts in a private stack to protect sensitive details while enabling iterative improvements.

3

Branching Scenarios

(Planned) Article: AI-Assisted Planning

Break long-horizon plans into verifiable branches with explicit review points so you can handle uncertainty and avoid brittle autonomy.

4

Future Article

Assemble a pattern library of travel, class, and project prompts to speed iteration and preserve quality across contexts.

🎨Creative Production Workflow

Accelerate creative work with AI-assisted ideation, iteration tools, and project management. Maintain artistic vision while increasing output and experimentation.

1

Local Generation

Run an offline sandbox for image and text models to evaluate outputs safely and iterate without exposing production data.

2

Workflow Loop

Topic: AI in Creative Practice (Planned)

Adopt diverge → cluster → refine cycles to surface varied creative options and converge on strong concepts through rapid critique.

3

Model Landscape

Topic: Major AI Models

Choose generation models for stylistic exploration and reasoning models for tasks that require factual grounding and structure.

4

Future Topic

Use prompt engineering and storyboarding to structure creative experiments and document iteration rules.

5

Societal Shift

Examine creative labor market transformations and identify roles that gain leverage vs. those that need reskilling.

⚖️Legal Research & Documentation

Enhance legal practice with research automation, document drafting, contract analysis, and case management. Maintain confidentiality while improving efficiency.

1

Trajectory & Risk

Distinguish reliable reasoning tasks from brittle edge cases so legal teams can define appropriate review points and acceptance criteria.

2

Macro Context

Contextualize labor shifts and regulatory pressures so law firms can adapt resourcing and client advisories appropriately.

3

Workflow Pattern

Implement citation and validation schemas for each output stage to preserve evidentiary integrity and enable audits.

4

Local Drafting

(Planned) Article: AI in Law Practice

Pilot confidential summarization and clause comparison in private stacks to protect privilege while evaluating model utility.

5

Future Topic

Plan deep dives on privilege, evidentiary integrity, and model logging to meet legal standards and client needs.

5

Draft Topic

Topic: AI in Law (Draft)

Assess workflow impacts, define risk guardrails, and explore business model shifts as AI augments legal work.

💻Technical Specification & Architecture

Move from coding to system design with AI-assisted architecture planning, code generation, and technical documentation. Focus on outcomes over syntax.

1

Mindset Reset

Article: Becoming the Muse

Shift from writing line-by-line code to designing systems and interfaces where AI shapes outcomes and developer intent guides results.

2

Specification Discipline

Section: Context Sculpting

Use a ROLE | OBJECTIVE | CONSTRAINTS | EXAMPLES loop to make prompts precise, testable, and reproducible across teams.

3

Context Sculpting

Curate relevant signals and prune extraneous context so models receive focused, high-signal inputs.

4

Creative Evolution

Article: Shape of Creativity

Operate in iterative resonance loops—generate, critique, and refine—rather than a single-pass waterfall approach.

5

Local Autonomy

Maintain private sandboxes for rapid iteration and reliable evaluation without exposing development data.

6

Capability Horizon

Identify the tasks where human judgment remains essential and where models can safely automate decisions.

🛰️Tech Hypster Timing & Entry

You lurk at the frontier—tracking waves, ignoring hype, and dropping in only when the stack, story, and timing line up. This path keeps your signal sharp so you can enter late, compound fast, and still look like you were there from block zero.

1

Signal Scan Ritual

Hub: Model Leaderboards

Weekly delta: who shipped + what moved (capability vs. veneer).

2

Capability Reality Check

Recalibrate expectations by distinguishing measured model capabilities from staged demos; prefer reproducible benchmarks and small-scale tests to headline claims.

3

Narrative Positioning

Craft narratives that anticipate macro shifts so your perspectives remain informative and robust as market and policy conditions evolve.

4

Micro Probes

Spin up isolated sandboxes; validate edge affordances quietly.

5

Spec Before Presence