Track Pack
Lifetime access to one of four tracks of the PickBits University curriculum. Read at your pace, build at your weekends, ship what you learn.
See the four tracks →Built in Phoenix, Arizona by Mark Pickering — the operator who runs PickBits.AI. Self-serve as the PickBits University curriculum, live as a workshop in your room, or embedded as a multi-week consulting engagement that wires real agents into your real stack. No lecture slides. No "future of work" handwaving. Production patterns from someone who ships agents into production for a living.
Lifetime access to one of four tracks of the PickBits University curriculum. Read at your pace, build at your weekends, ship what you learn.
See the four tracks →Half-day or full-day workshop on agentic AI patterns. On-site across the Phoenix metro, or remote-delivered for distributed teams worldwide.
Scope a workshop →Multi-week engagement that audits, builds, and embeds agentic workflows into how your team works. Four weeks to first production win.
See consulting →Sixty minutes, one theme, one operator. No vendor pitches, no panels, no "future of work" handwaving — just the patterns that worked last week, the patterns that broke last week, and your questions. Free, live, recorded for those who can't make it.
The Vibe Coder pipeline — Explore, Validate, Harden — and the transition triggers most builders miss. Walk through a real prototype on screen; leave with the pre-ship checklist that keeps it from paging you at 2 a.m.
Saturday, July 11, 2026 · 10:00 AM Phoenix (MST) · 1pm ET · 6pm UTC · 7pm CET
// themes are subject to swap based on what's live in the room
Agentic AI training is structured instruction on building and operating AI systems that take multi-step actions on a user's behalf — calling tools, reading and writing files, running queries, making decisions — rather than just generating text. It covers prompt patterns, the Model Context Protocol (MCP), the workflow-vs-agent decision, evals, security review, cost control, and the production discipline (observability, rollback, audit) that keeps an agent from paging you at 2 a.m.
Generative AI is a calculator. Agentic AI is a junior employee. They share the same model underneath, but the engineering discipline around them is different — and that discipline is what gets taught here.
Generative AI training teaches you to prompt for one good output. Agentic AI training teaches you to design a system that loops — plans, calls tools, checks itself, and recovers. Different failure modes, different evals, different security model.
A bootcamp teaches someone to write code with AI assistance — useful for beginners. Agentic AI training assumes you already ship code and shows you how to make an AI ship code on your behalf, safely. Senior engineering discipline, not intro track.
Prompt training stops at the conversation window. Agentic training continues through tool design (MCP), workflow tiers (prompt → workflow → agent), evals, security review, cost guardrails, observability, and the rollback plan when the agent does something unexpected at 2 a.m.
Real outcomes look like fewer 2 a.m. pages, smaller cloud bills, and code review your senior engineer doesn't quietly rewrite on Monday. Here's the short list.
The curriculum splits four ways because the people building agents, the people running them in production, the people integrating them into knowledge work, and the people operating a business around them all need different things. Same instructor, different room.
Indie hackers, app founders, first-time AI builders, and senior engineers whose prototype just got real users. Vibe Coder track.
Engineering leads, DevOps/SRE, security, FinOps — anyone responsible for cost, reliability, audit, or vendor risk on an AI surface. Vibe Management track.
IT pros, BAs, architects, consultants, marketers, lawyers, healthcare, finance — anyone whose job is information work. Field Guides track.
Solo studios, indie creators, consultants, and one-person shops standing up an AI-augmented business. Solo Business track.
Pick the format that matches the budget and the urgency. Same curriculum, different velocity.
Lifetime access to one of four tracks of the PickBits University curriculum. Read at your pace, build at your weekends. Best for solo builders and individual contributors deciding whether agentic AI is worth their time.
The operator in your room, teaching your whole group hands-on — on the tools they already run, or the University curriculum delivered as a live class. On-site across the Phoenix metro, or remote-delivered worldwide. Everyone walks out with the prompt vaults and configs from the session.
Multi-week consulting that audits, builds, and embeds agentic workflows into how your team actually works. Four weeks to first production win, ten to twelve for a full rollout. Priced against hours-recovered and labor-shifted-to-compute, not flat day rates.
Sixty focused minutes on your own codebase with the operator. Best when you're stuck on a specific stack problem — choosing between agent vs workflow, designing an MCP server, getting an eval suite past the first ten rows. Free with any Track Pack.
Each track is a self-contained mental model plus a working stack of prompts, configs, and patterns you keep for life. A Track Pack unlocks one. A Substack Experimenters subscription unlocks all four plus community.
17 modules. For engineers and indie hackers whose AI prototype is starting to have real users.
10 modules. For engineering leads, DevOps, security, and FinOps owners of an AI surface.
16 modules. For IT pros, BAs, architects, consultants, and anyone whose job is information work.
8 modules. For solo studios, indie creators, and one-person shops standing up an AI-augmented business.
There are good options for learning agentic AI. PickBits sits in a specific corner of that map — built and taught by one operator who ships agents into production every week, available as both a $45 self-serve curriculum and a multi-week embedded engagement. Here's the shape of it.
| Dimension | PickBits | Anthropic Academy | Coursera AI courses | Big-4 AI Academy |
|---|---|---|---|---|
| Self-serve curriculum | Yes · $45 lifetime / track | Yes · free | Yes · subscription | No |
| Live workshop on your stack | Yes · half/full day | No | No | Yes · enterprise only |
| Embedded multi-week engagement | Yes · 4–12 wks | No | No | Yes · 6 figs+ |
| Phoenix, AZ on-site | Yes · operator-led | No | No | Yes · associate-led |
| Tool-agnostic (Claude, ChatGPT, Cursor, Copilot) | Yes | Claude-only | Mostly | Yes |
| Production discipline (cost, evals, security) | Core curriculum | Yes | Light | Yes |
| Built by someone shipping agents weekly | Yes — Mark Pickering, operator | Anthropic engineers | Academic instructors | Practice partners + associates |
| Entry price | $45 / 1 track | Free | ~$50/mo | Custom (5–6 figs) |
Comparison reflects published offerings as of 2026. Anthropic Academy refers to the Anthropic-published learning materials; Big-4 AI Academy is a category label for the in-house AI training programs operated by major consultancies (Deloitte, EY, PwC, KPMG, Accenture).
Lifted from emails, Slack DMs, and the end-of-engagement notes. Six voices across the four tracks — builders, IT teams, knowledge workers, solo operators. Names go on once each person signs off on attribution.
[QUOTE 1 — placeholder. Likely a Vibe Coder track grad describing the pre-ship checklist or the moment the eval suite caught a regression.]
[QUOTE 2 — placeholder. Indie hacker or first-time AI builder; the "I shipped without the 2 a.m. page" angle.]
[QUOTE 3 — placeholder. Engineering lead or DevOps owner; the cost-control + observability angle.]
[QUOTE 4 — placeholder. Security or audit-side stakeholder; tool-use security, MCP, prompt-injection angle.]
[QUOTE 5 — placeholder. IT pro / BA / consultant; second-brain or Claude Cowork delegation angle.]
[QUOTE 6 — placeholder. Solo studio / indie creator / one-person shop; pricing AI services or workflow-design angle.]
Looking for a longer write-up? See the case studies — including the full Excellens.us build.
PickBits.AI is operated from Phoenix, Arizona. The studio ships globally — the Daily Signal newsletter and four-track University curriculum reach readers in every major timezone — and the workshops travel with it. Locally in the Phoenix metro we deliver on-site for engineering teams, IT departments, and leadership cohorts; remotely we run the same workshop over video for distributed teams anywhere in the world.
Phoenix metro on-site: Tempe, Scottsdale, Mesa, Chandler, Gilbert, Glendale, Peoria, Surprise — any company or venue within the Valley. On-site travel time is included for engagements scoped on the strategy call.
Remote & worldwide: Workshops, coaching, and consulting all run over video for distributed teams. Sessions land between 7 a.m. and 7 p.m. Phoenix time — comfortable for US, Latin America, and same-day windows for Europe, Africa, and the Middle East. Asia-Pacific is asynchronous-friendly with scheduled video checkpoints.
Why a one-operator studio: The same person who writes the curriculum, teaches the workshop, and ships the daily AI artifact is the one who shows up in your room. No handoff to a junior. No "I'll loop in a colleague." It is what it looks like.
Phrased the way people actually ask them.
Agentic AI training is structured instruction on building and operating AI systems that take multi-step actions on a user's behalf — calling tools, reading and writing files, running queries, making decisions — rather than just generating text. It covers prompt patterns, the Model Context Protocol (MCP), workflow vs. agent decisions, evals, security review, cost control, and the production discipline (observability, rollback, audit) that keeps an agent from paging you at 2 a.m.
Generative AI produces a single output from a single prompt — a paragraph, an image, a code snippet. Agentic AI plans, loops, and uses tools — it calls APIs, reads files, browses, runs code, and decides what to do next. Generative AI is a calculator; agentic AI is a junior employee. Same model underneath, very different engineering discipline around it.
PickBits.AI is operated from Phoenix and runs in-person workshops across the Phoenix metro — half-day or full-day, on-site at your office or a venue you choose. The same curriculum is also available as a self-serve Track Pack at $45 one-time or as a remote-delivered workshop for distributed teams.
Engineers shipping AI features into production (Vibe Coder track), IT teams automating internal workflows (Vibe Management track), knowledge workers who use AI to think for a living (Field Guides track), and operators running an AI-augmented business (Solo Business track). PickBits assumes professional working knowledge of your tools — no intro sessions.
Yes. Live workshops run over video for distributed teams in half-day and full-day formats. Material, prompt vaults, and configs from the session are shared with everyone in the room — yours to keep and extend. Scope on the free 30-minute call.
Claude (Anthropic), Claude Code, ChatGPT, Cursor, GitHub Copilot, Microsoft 365 Copilot, NotebookLM, Gemini, and the Model Context Protocol (MCP) for tool integration. The curriculum is tool-agnostic where it can be and tool-specific where it has to be — agent security, MCP server design, and CI integration are platform-specific by necessity.
Self-serve: a Track Pack is structured for one focused week of evening reading plus a few weekend builds. Workshop: half-day (4 hours) or full-day (8 hours) with hands-on labs. Embedded engagement: four weeks to a first working production workflow, ten to twelve weeks for a full rollout across a team.
Yes. Corporate workshops run on-site (Phoenix metro) or remote (worldwide) for groups of any size — engineering teams, IT departments, leadership cohorts. For deeper rollouts the consulting engagement embeds AI workflows into a team's actual stack over four to twelve weeks, with measurable hours-recovered and cost-shifted metrics.
A coding bootcamp teaches someone to write code with AI assistance. Agentic AI training teaches someone to design, ship, secure, and operate AI systems that act autonomously — which is a senior engineering discipline, not an intro track. PickBits assumes professional working knowledge of code and tooling; we don't run intro sessions.
Self-serve Track Pack: $45 one-time, lifetime access to one track. Workshop: scoped on a free 30-minute call based on group size, format (half/full day), and on-site vs. remote. Consulting: scoped to the engagement after a free strategy call — typically priced against hours-recovered and cost-shifted ROI rather than flat day rates.
The operator of PickBits.AI. Mark ships games and AI products in public from a one-person studio in Phoenix, Arizona — then teaches exactly how each one was built. Workshops, consulting, and University curriculum are all written and taught by the same person who's doing the work the rest of the week.
Because by 2026 the interesting work — and the interesting failure modes — moved from "can the model write the thing" to "can the system take the action safely, at cost, under audit." The gap between teams that ship agentic systems well and teams that ship them once and then quietly turn them off is wider than the gap between teams that use AI at all and teams that don't. Agentic is where the discipline pays.
Yes — most clients are remote. Phoenix is where the studio is operated from; the work travels. Self-serve curriculum, live workshops over video, and consulting engagements all run worldwide. The Phoenix anchor is a fact, not a requirement.
Forty-five dollars and an evening, a workshop in your room, or a multi-week engagement that ships the workflows for you. Each one starts with a real conversation.