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C7 EST | 14 Day AI Sprint·Day 0 | Kick-Off Call·3:28:00

Day 0: What an 'AI Generalist' Is, the 6-Level Roadmap, and How the 14 Days Run

Uthappa Program host - Senior Category Manager at Outskill on the AI research and initiatives team; hosts every day of the sprint, teaches no AI content herself
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The short version

  1. The program's target is a 'T-shaped professional': keep your existing domain depth (79% of the cohort has 10+ years experience) and add AI breadth - an 'AI generalist' who is a 'native AI problem solver' able to automate and build agents 'irrespective of the domain.'
  2. Everything in the sprint hangs off a 6-level roadmap: (1) prompting fundamentals, (2) MCPs/RAG/local LLMs/voice, (3) image and video, (4) automations and agents, (5) product building by vibe coding, (6) a capstone. Sessions are deliberately NOT delivered in level order.
  3. Structure: Days 1-7 teach (weekday evenings 3-4h, full-day weekends), each as ~2.5h lecture + 1-1.5h muted breakout rooms on a pre-distributed workbook + Q&A. Days 8-11 are office hours that BUILD on week 1 rather than repeat it; Day 11 forms teams; Days 12-13 build the team product and the 'Jerry' multi-agent system; Day 14 is graduation. Then a year of Wednesday AI-update sessions.
  4. Mindset ask that recurs all sprint: 'keep that experience hat aside' - experienced professionals block their own learning by litigating why. Framed as a partnership with three honest reasons mistakes will happen: AI changes mid-program, the cohort is diverse, and 'there is no playbook.'
  5. For Paul: this is the ARCHIVE of a cohort that already ran (Jan 2026), so all 100 lessons are unlocked; the later Catalyst program he is in reuses several of these mentors (Harshit/Harshad, Cameron, Akhil, Dileep) and assumes this material.

At a glance, three clicks deep

Skim here first: the closed row is the glance, open is the study card with the key points and timestamps, and the ↓ link drops to that concept's full write-up below.

01I-shaped -> T-shaped: what 'AI generalist' means hereAI generalist = domain-agnostic problem solver who automates processes and builds agents;›

AI generalist = domain-agnostic problem solver who automates processes and builds agents; T-shaped = that breadth laid over existing domain depth.

Cohort: 6 continents, 30 countries, 79% with 10+ years of experience (l3185743 0:33)

I-shaped = one deep domain; generalist = broad and shallow; T-shaped = broad AND one deep (l3185743 0:40)

End skills: problem solving, cross-domain application, workplace go-to, AI as partner (l3185743 0:41)

Two monetization paths: future-proof your role, or consulting/small business/product (l3185743 0:42)

↓ Full write-up of this concept

02The 6-level roadmap that organizes the sprintL1 prompting -> L2 MCP/RAG/local/voice -> L3 image+video -> L4 automations+agents -> L5 vibe-coded products…›

L1 prompting -> L2 MCP/RAG/local/voice -> L3 image+video -> L4 automations+agents -> L5 vibe-coded products -> L6 capstone; delivery order differs from level order.

Level 1: prompting fundamentals across ChatGPT/Claude/Gemini (l3185743 0:36)

Level 2: MCPs, RAG, local LLMs, voice agents (l3185743 0:37)

Level 3: image/video manipulation and AI cloning (l3185743 0:37)

Level 4: automations and AI agents; Level 5: product building by code (l3185743 0:37-0:38)

Level 6: capstone; session order intentionally deviates from level order (l3185743 0:38)

↓ Full write-up of this concept

03How the 14 days actually run (and why office hours are not reruns)Days 1-7 teach (lecture + muted workbook breakouts), Days 8-11 extend via office hours, Day 11 forms teams,…›

Days 1-7 teach (lecture + muted workbook breakouts), Days 8-11 extend via office hours, Day 11 forms teams, Days 12-13 build, Day 14 graduates; then 52 weekly update sessions.

Weekdays 7:30 PM IST / 9 AM EST, 3-4h; weekends 10-7 IST / 9-6 EST full days (l3185743 0:49-0:58)

Each day: ~2.5h teaching, 5-min break, 1-1.5h muted breakout on a workbook sent 24h ahead (l3185743 1:02-1:06)

Breakouts are not recorded; a workbook-solution video is posted instead (l3185743 1:04)

Days 8-11 office hours build on week 1; Day 11 forms teams; Days 12-13 build; Day 14 graduation (l3185743 1:13-1:17)

Bonus tools ~$3,000 value, vary per learner, redeem within 2 days; content library ~40h incl. Kairos MBA fellowship (l3185743 0:44-0:47, 2:47)

Attendance target 90%+; single registered email only; no unofficial WhatsApp groups (l3185743 2:22-2:28)

↓ Full write-up of this concept

The concepts in full

01

I-shaped -> T-shaped: what 'AI generalist' means here

Most of the room is an expert in exactly one thing. The program does not want to replace that - it wants to lay AI breadth across the top of it.

Three shapes: the I-shaped professional (deep in one domain, most attendees), the generalist (capable in many things, expert in none), and the target T-shape - 'capable in doing a lot of things and expert in 1 of them.' The AI generalist is defined behaviorally, not by tool lists: someone who can look at any process and automate it or put an agent on it regardless of domain.

The promised payoff has four parts - AI problem solving, applying AI across any task, becoming the workplace 'go-to person' for AI, and treating AI 'like a partner' - and two ways to cash it in: future-proof the current job, or build a side income through consulting, a small business, or a product.

Why it matters

It is the lens every later session is taught through - mentors keep saying 'you don't need to be technical, you need to be a problem solver.'

02

The 6-level roadmap that organizes the sprint

Fourteen days, six levels - but the days do not go in level order, so this map is how you tell where any given session sits.

Level 1 is fundamentals and prompt engineering ('how to talk to LLMs' - ChatGPT, Claude, Gemini). Level 2 is 'generic AI': MCPs, RAG, local LLMs, voice agents. Level 3 is image and video manipulation and AI cloning. Level 4 is automations and building AI agents. Level 5 is product building through coding (vibe coding). Level 6 is a capstone that solves a real problem with everything above.

The host is explicit that 'the sessions that fall under these levels might not be the same order to ensure a better flow' - so Day 2 is Level 3, Days 3-4 are Level 4, Day 5 is Level 2, and the badges learners unlock after each day carry the LEVEL number, not the day number (Days 3 and 4 both unlock 'Level 4').

Why it matters

The reflection/badge system in the LMS is keyed to these levels; knowing the map explains why two consecutive days award the same badge.

03

How the 14 days actually run (and why office hours are not reruns)

Two phases: seven days of being taught, seven days of being made to build.

Phase 1, Days 1-7: weekday sessions 7:30 PM IST / 9 AM EST for 3-4 hours; Saturday and Sunday are full days (10-7 IST / 9-6 EST) with two topics each. Every session is ~2-2.5 hours of teaching, a 5-minute break, then 1-1.5 hours in MUTED breakout rooms working a workbook distributed at least 24 hours ahead, with co-mentors answering in chat, then Q&A. Breakout rooms are not recorded (Zoom limitation) - a separate workbook-solution recording is posted instead.

Phase 2, Days 8-11: office hours that recap AND extend week 1 (Day 8 -> Days 1-2 clone/content work, Day 9 -> Days 3-4, Day 10 -> Days 5-6, Day 11 -> Day 7 vibe coding + MVP). Day 11 splits the cohort into product teams; Day 12 starts the team build; Day 13 (full day) builds the 'Jerry' multi-agent assistant in breakout rooms then continues team products; Day 14 is graduation. After that: a weekly 'What's New Wednesday' AI-updates session for a year (from Feb 4 2026), which is the Weekly AI Updates archive already in this KB.

The day topics as announced: D1 LLM fundamentals/prompting/RAG/local LLMs; D2 image+video (Jordan); D3 n8n automations (Akhil); D4 first AI employee - a customer-support agent (Harshad); D5 MCP - 'a USB hub' connecting apps to LLMs (Dileep); D6 AM voice agents (Matif as-heard) + PM 'Tech 101' for non-technical founders; D7 AM multi-agent 'Jerry' (Achin as-heard) + PM vibe coding with Bolt/Lovable (Cameron).

Why it matters

Knowing that each transcript = lecture + long muted breakout means the last 1-1.5 hours of every recording is mostly logistics; the KB records skip it.

For your projects

The 'Jerry' multi-agent build (Day 7 lecture, Day 13 hands-on) is the sprint's version of the personal-assistant agent Paul keeps circling in Catalyst OH XII; see ais-day07 and ais-day13.

Tools referenced

ToolCoverageMomentContext
CircledemonstratedThe LMS platform behind platform.outskill.com; mobile app 'Circle Communities'
SlidodemonstratedLive Q&A collection for the kickoff and later office hours
ZoomexplainedDesktop app required for breakout rooms; AI Companion and Q&A box features
n8nmentionedNamed as the primary automation tool for Days 3-4; 14-day free trial
SunomentionedGenerated the session's background music - revealed in Q&A

Session materials

Archived locally on V: — click to open. Companion pages link to the LMS.

lms
Zoom Walkthrough guide
companion page on the platform

Action items

    Resources mentioned

    Resources
    • docStarter Kit - Zoom Walkthrough (l3278842, 10 min)
    • docLMS spaces (platform.outskill.com, Circle)
    • docSupport tiers

    Extraction notes

    This page was built from an auto-generated transcript, which garbles product and people's names. Those were corrected silently in everything above and logged here for transparency. The warnings flag claims that were true on the recording day but change fast.

    Transcript corrections applied

    The transcript saysThe trainer actually means
    Utapa / Utopia / Topathe host, spelled here 'Uthappa' - unverified
    outscale / housekill / out spielOutskill (support@outskill.com)
    anything / item / an 8 nn8n
    Cairo's / KairozKairos MBA fellowship
    tech-lit-overTech 101 / tech literacy session (Day 6 PM)

    True on recording day — verify before relying

    Next →Day 1: APIs, Webhooks, How LLMs Predict, CoStar vs Meta Prompting, Local Models, and a Liv