TOTALISOPERATIONS
AUSTIN, TEXAS · REMOTE
AI TRAINING / FROM FIRST LOGIN TO ADVANCED DEPLOYMENT

Learn the tools.Understand the consequences.

AI literacy is now a practical skill, but different people need very different instruction. Sessions are built around the learner's actual goals, devices, work, comfort level and risk profile—not a generic slide deck.

No prerequisite knowledge.If you feel behind, that is a valid starting point. If you already use multiple models, agents and toolchains every day, that is also a valid starting point.
LEARNING TRACKS

Different starting points. Different curriculum.

One-on-one, small group, leadership-team and organization-level instruction are all available.

01 / EVERYDAY AI

Modern AI without the jargon

Chat assistants, search, writing, images, files, organization, travel, communication and practical everyday uses. Designed for people who simply want the modern tools to make sense.

ASK ABOUT A SESSION →
02 / 50+ & SENIORS

Patient local tech help in Austin

AI basics plus email, messages, internet search, photos, files, cloud storage, device confidence, password/account hygiene, scam recognition and safer online habits.

VIEW LOCAL FORMAT →
03 / SMALL BUSINESS

Use AI without creating a mess

Practical workshops for teams: what AI is good at, what should not go into a model, model/tool choice, context management, verification, vendor settings and safe adoption patterns.

PLAN A WORKSHOP →
04 / MANAGEMENT

Deploy AI downstream with control

Train managers to set scope, choose tools, measure value, manage employees using AI, supervise AI-assisted work, distinguish speed from quality and keep accountability human.

DISCUSS MANAGEMENT TRAINING →
05 / BUILDERS & FOUNDERS

Turn the idea into a defensible product

Idea pressure-testing, customer/problem definition, build sequence, product boundaries, toolchain design, testing, cost, deployment and practices that reduce accidental disclosure or easy cloneability.

DISCUSS YOUR IDEA →
06 / ADVANCED PRACTITIONERS

Models, agents, context and toolchains

Token economics, context windows, memory, agent choice, tool permissions, evaluation, handoffs, GitHub, Adobe, Notion, Slack, automation and research workflows.

BUILD A CUSTOM CURRICULUM →
AUSTIN / IN-PERSON

AI & technology help for adults 50+.

A continuation of the local one-on-one program: your device, your questions, at a pace that does not assume you already know the vocabulary.

Technology should become less stressful, not more.

Sessions can cover ChatGPT and other AI tools, email and messages, finding information, photos/files/cloud storage, travel and hobbies, safer browsing, common scam patterns, account security and any specific task you want to become comfortable doing yourself.

INDIVIDUAL · ~75 MIN$65One-on-one, personalized guidance.
COUPLES · ~90 MIN$85Learn together on your own devices.
AGE 70+ · SLIDING SCALE$40–$60Individual. Couples $55–$80. No income verification or explanation required.
BUSINESS CURRICULUM

What teams actually need to know.

Training can stay introductory or go deep into operating mechanics depending on the audience.

A

Tool and model selection

Choose the right model, agent or workflow for the work instead of sending every task to the same chatbot.

  • Capability vs cost vs privacy
  • When agents help and when they add failure surface
  • Context and memory limitations
  • Human approval boundaries
B

Security-aware adoption

Make the invisible risk visible before employees create shadow workflows with sensitive company information.

  • What not to paste into public tools
  • Permissions, connectors and data exposure
  • Prompt-injection and social-engineering awareness
  • Vendor/account configuration and access hygiene
C

Quality and verification

Teach teams why fluent output is not verified output, and how to build review around consequential work.

  • Source checks and evidence
  • Evaluation before scale
  • Failure logging and correction loops
  • Separating draft assistance from authority
D

Management and deployment

AI can increase output while quietly increasing rework, ambiguity and risk. Management needs a system for knowing the difference.

  • Task allocation and approval levels
  • Usage/cost rationale
  • Employee training standards
  • AI-team coordination and handoff
BUILDER TOOLCHAIN

Beyond the chatbot window.

For people using AI to build products or earn online, we can work across the actual surrounding ecosystem instead of pretending the model is the entire business.

GitHubVersion controlAdobeNotionSlackResearch papersML/AI newslettersDocumentationAPIsAgentic CLIsIDE workflowsEvaluationDeploymentData provenanceIP hygieneCompetitive research
No “get rich with AI” promise. If the goal is to make money with AI, the work starts with the market, customer, economics, defensibility and distribution—not a fantasy revenue screenshot. Technical and product practices can reduce accidental disclosure and easy copying, but they are not a substitute for legal IP advice.

Tell me what you know now and what you want to be able to do.

That is enough to design the first session or workshop.

BOOK / ASK A QUESTION