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AI Resources

AI Lifestyle Resources

Richard Bixler

Summary: Resources for adopting AI into your lifestyle.

This article captures and organizes a collection of posts that outline how to use AI right now for current and future benefit. Beyond that, it includes posts that describe the structure of AI, and that describe how to learn and use more advanced functionalities over time.

AI deployment is moving so fast, it's hard to even keep up! Beyond trying some prompts, what can we do to learn, and to benefit right now? Interesting posts disappear before we can read them. Posts that might extend our expertise appear before we can put them in context with what we've learned so far, and then disappear before we're ready for their wisdom. This article is a step toward organizing, gaining, using, and extending expertise in AI for current and future benefit, adopting AI functionality into everyday use.

Published concurrently on svprojectmanagement.

Published concurrently on www.softtoyssoftware.com, expanded and refreshed.


Resources: Introduction

Adopting AI into your lifestyle will expand - or explode! - what it meant to adopt the Web into your lifestyle. The breadth of Web adoption was not envisioned in any detail until killer-apps addressed existing daily needs of the public and of businesses. As that became prevalent, newly-imagined applications created new needs crossing all aspects of the whole population.

How do we use the Web today... Online commerce, buyers and sellers. Social media, mobile smartphones, email, messaging. Dating. Online map navigation, self-driving vehicles. B2B business interactions. Conferencing. Information reference, education. Entertainment - streaming, gaming. Banking, Trading, Crypto currency. Healthcare, Government services, taxes, benefits.

How did all that happen? Internet and Web spread like fire through corporate and personal use. Personal use, for home and mobile social connectivity, and consumer-to-business. Corporate use, as data centers led to server farms for massive computation and database supporting online, always-active, worldwide, business-to-consumer and business-to-business. Many thousands of continuous evolutionary steps from Wintel/Mac platforms, Ethernet, TCP-IP, HTML, Javascript and many more. These were facilitated by a magic conjunction of Means, Opportunity, and Motive. Means: Moore's Law for MIPS, cost, and interconnect bandwidth. Opportunity: Web protocols driving content-based killer apps with appeal to huge and expanding use among worldwide populace. Motivation: Monetization of the huge user base.

AI is based on all the same means, opportunity and motivation as for the Web. AI explodes those capabilities with intelligent, interactive, dynamic content, both virtual and physical, based on underlying intelligence in technology implementation. We haven't seen the real killer apps yet but they're coming...

Think of how you already use the Web. Adoption of AI into your lifestyle will mean that your first interactions on most things will be through AI: at first, directly through AI tools; later through ubiquitous applications and other means embedding AI. Expanding on all the capabilities of the web, beyond connection, and exploding dynamic intelligent content.

Some of this will become self-teaching via intuitive interfaces and applications. That will take some time to emerge ubiquitously. Everyone will invest in development, but winners will emerge with greatest reach and depth. As that emerges, getting involved with AI now will give you advantages as the rest of the world moves more slowly than you. You could gain direct tactical advantage, but also ability to spot winners and losers early for continuous and longer-term advantage and leadership.

No doubt there are many ways to get involved. One that I've noticed is the numerous contributions on LinkedIn. In this article I've taken some that I think will be useful, linked them and organized them by topic.

So poke around, try some of the links, maybe take a course, many are free. Look here, or on the LinkedIn site where there's new stuff every day. See if there's something that interests you. Nothing helps you learn a topic like having a problem you want to solve!


LinkedIn

You must be logged-in to your LinkedIn Account, on the computer viewing this website, to be able to see the posts linked below.

  • Click any tile on this page to see the post on LinkedIn on a new tab.
  • The tile image is repeated in the LinkedIn post; click that image to see the post in LinkedIn format.
  • Right-click the tiles on this page and select "Open image in a new tab" to display the tile image in higher resolution.

Using AI

Where to access AI Chatbots? Most Chatbots have specific Apps, available in the App Stores for iPhone, Android and Windows. They also provide access via Web. You will need to establish an account for each.

ForbesAI502025

Forbes AI 50 - 2025

WhichLLM

Comparing LLMs

GenAILandscape

GenAI Tools Available

UseAIToLearn

Using AI to Learn

ClaudePrompts

Using Claude

HowClaudeWorks

How Claude Works

UsingGeminiFeatures

Using Gemini Features

GooglePromptEngineering

Google AI Prompts

GrokProblemSolving

Grok for Problem-Solving

CopilotCheatsheet

CoPilot Cheat Sheet

GitHubCopilot

GitHub CoPilot

ChatGPTFeatures

ChatGPT Features

UseCases

ChatGPT Use Cases

ChatGPT41Prompt

ChatGPT 4.1Prompting Guide

PromptFramework

ChatGPT Framework

PromptStruct

ChatGPT Prompt Structure

AIBrainstorm

ChatGPT Brainstorm

ChatGPTPresentation

ChatGPT for Presentation

ChatGPTMarketing

ChatGPT for Marketing

ChatGPT-SEO

ChatGPT for SEO

ChatGPTCheatSheet

ChatGPT Cheat Sheet

UsingChatGPT

Using ChatGPT

ChatGPTPlugins

Using ChatGPT

ChatGPTPrompts

Using ChatGPT

ChatGPT4oGuide

ChatGPT 4.o Guide

HumanizeAI

Humanize ChatGPT Results


Job Search AI

ChatGPTJobHunt

Job Search

ChatGPTJobHunt2

Job Search

ChatGPTResume

ChatGPT Resume

AIJobHunt

Job Search

YouTubeAIChannels

Job Search

Jobsearch2

Jobsearch Tools


LinkedIn AI

LinkedInAlgorithm

LinkedIn Posts

ChatGPTAnalyze

LinkedIn Content

LinkedInLanding

LinkedIn Content

LinkedInCarousel

LinkedIn Content

LinkedInAIPage

LinkedIn Content


AI AudioVisual

AICreateVideo

Create Video

AImultimodal

AI Multimodal


AI Agents

WhatIsAIAgent

What Is An AI Agent?

AIAgent2

AI Agents

AIAgent1Guide

AI Agents Guide

AgenticDesignPatterns

Agentic Design Patterns

AIAgentLearningRoadmap

AI Agent Learning Roadmap

AI-Agent-Frameworks

Agent Frameworks

AgentInfrastructure

Agent Infrastructure

GoogleAgents

Google Agents

GoogleAIAgents

Google AI Agents

MCP-Intro

Model Context Protocol
(MCP) Introduction

MCPAgentContextServers

MCP Agent Context Servers

A2A-MCP-RG

Agent-to-Agent (A2A) and
Model Context Protocol (MCP)
Comparison

A2A-MCP-SV

A2A MCP More Detail

MCPvsFunc

MCP vs Function Call

MCPCourseAnthropic

MCP Course

RAG-block

Retrieval-Augmented-
Generation (RAG)

AgentProtocols

More Agent Protocols

AgentProtocols

AI Workflows


AI Agent Dev Tools

AI-Agent-Tools

Agent Tools

GoogleAIAgentDevKit

Google AI Agent
Development Kit

GoogleAgentOpenSrcFullStack-Tools

Google Agent
Open Source
Full Stack

LLM-Eng-Toolkit

LLM
Engineer Toolkit

n8n

n8n Connected Workflow

NLWeb

Website as
Model Context Source

JSON

JSON

MongoDB

MongoDB

Latenode

Latenode Workflow

Latenode

Zapier
AI Workflow

MSPowerAutomate

Microsoft Power Automate

cdata

cdata Connected Sources

cursorcoderabbitwarp

Cursor
CodeRabbit
Warp


AI Courses

StanfordAICourses

Stanford Courses

StormAICourses

AI Courses

OpenAIAcademy

OpenAI Academy

MicrosoftAICourses

Microsoft Courses

AmazonAICourses

Amazon Courses

GoogleAICourses

Google Courses

MicrosoftAISkills

Microsoft Courses

GoogleAICert

Google AI Certification

GoogleCourses2

Google Courses

TopRreeAICourses

Courses

CourseraAI

Coursera AI


AI Reference

ProblemSolving

Problem Solving

TechnologyStackAI

AI Technology Stack

ChatGPTChromeExtensions

ChatGPT Chrome Extensions

ChromeExtensions

Chrome Extensions

Crawl4AI

Crawl4AI: Web Crawler

AIguides

Google, OpenAI,
Anthropic Guides

LLM-RAG-Agent

LLM - RAG - Agents


Further Reading: Core Program Quantitative Structure for System Programs

Advice for Program Managers: The Blog Series

1-Program Management Opportunity

Introduces a vision and framework for development of Program Managers and PMO, for Program Management specialization to its environment, and for improved effectiveness and integration of PM with organization operational management.

2-Program Management Career Path

Describes career path thinking for Program Managers including sourcing, progression, advancement, and connection with organizational management.

3-Program Management Career Skills

Career path thinking for Program Managers including skills and behaviors that develop Program Manager capabilities and leadership and pave the way toward advancement.

4-Program Management Specialization: System Programs Phased Methodology

PM Best Practices and Core Program Structure for Hybrid integrated system programs using Phased HW – Agile SW, mixed-technologies. Full-Program agility via automated plan tools with continuous plan update.

The Series also solicits contributions to this Blog site, to extend coverage of PM Best Practices and Core Program Structure to a broadening set of Specializations.

5-PMO Role

PMO behavior to achieve Program Management effectiveness specialized to its environment managing PM practices in the organization, including PM development and advancement and connection with organizational management.

6-Quantified Agile for Hardware

Program Quantification applied to Phased and Agile methodologies to deal with organizational quantitative requirements.


More Articles by this Author

Three Levels of Program Management

Guiding Principles for Program Management Action, Program Quantification, and Leverage Through Tooling.

Organizing Program Communication

Program Management depends on effective communication. Design Program communication paths for everyone throughout the Program.

Database Platforms for Program Management Logistics

Logistics Tool extended, using SQL Server and MS Access with MS Excel and PowerQuery.

PowerQuery Tool

Logistics Tool using MS Excel Power Query.

Quantitative Management

Tool methodology for agility with continuous plan update: Program BOM, Tie to Dates, Builds, Element data.

Complex Programs: Structure

Structure Program with Parallel Phasing. Describes coordination of EE/ME, FW, Test, Supply/CM, Driver/Kernel, Transport, Management. Scheduling, Integration points, scaffolding, and starting work. Hybrid Program Cross-Domain Coordination of development frameworks, including Phased and Agile/Scrum where appropriate, via integration points and scaffolding. Software Integration Sequence and Dependency Planning.

Managing Complex Projects

Problem Statement. PM responsibility for Program Management drive throughout an organization, also includes schedule, budget, integration, critical path, logistics.

Program Roadmap

Planning work structure for a Program, and using the plan effectively.

Lifestyle AI

AI effects on current and future lifestyles. Personal strategies for proactive and defensive use of AI.

Iterative Thinking

Using Iterative Thinking to solve big problems and complex logistics.

AI Lifestyle Resources

AI resources to help adopt AI into your lifestyle.


Link To Free Tools To Manage Schedule, Logistics, And Finance

Author's www.softtoyssoftware.com website with articles on Program Management and Program quantification tooling using Excel, MS Project, and MS Visio with SQL databases PowerQuery, SQL Server, and MS Access. Articles describe how you can use tools available from the website, or develop these capabilities yourself using commonly available tools.

Tools available from this website are free. They can handle small to large programs, limited only by your imagination. Using the included Program Template to envision, organize, plan, and run a large program puts me in mind of unleashing a Roman Legion to a sure outcome. Veni, Vidi, Vici! – Julius Caesar.


Credits

Banner image(s) used under license from Shutterstock.com. Attribution: metamorworks / Shutterstock.com

Tile attributions: Paul Storm, Microsoft Learn, Charlie Hills, Krishna Priya, What Is AI Media, Faster With AI, Tulsi Soni, Nishat Jahan, Maria Gharib, Kevin Box, Ruben Hassid, Chiara Munaretto, AI: Artificial Intelligence, Anthara Fairooz, Jafar Najafov, Matic Pogladic, Dirk Zee, AI PlanetX, Shruti Mishra, Matt Village, Adam Biddlecombe, Kshitij Mishra, J V Shah, Sumanth P, Manthan Patel, Kashvi Shah, Denis Panjuta, AI XYZ, Andreas Horn, Logan Kilpatrick/Google Cloud, Subham Saboo, Rakesh Gohel, Neeraj, Zayn Chughtai, Andrew Bolis, Alex Wang, How to AI, Nick Palomba, Thomas Dohmke, Andrew Ng, Silicon Valerie Bertele, Manthan Patel, Soumava Dey, Shivani Virdi, AlphaSignal, Jimmy Acton, Luis Rodrigues, Ashay Pachaar, QuantumEdgeX LLC, Harikrishnan Rajaram, Deepak Kamboj, Michel Lieben, MARKTECHPOST, Google for Developers

My website: www.softtoyssoftware.com

Copyright © 2025 Richard M. Bixler

All rights reserved