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Contents
  • AI Transformation

  • HyperTeams

  • HyperTeams Connect

Guide

How to use HyperTeams Connect and the HyperTeams app on your machine.

Do not read it end to end — pick the path that matches your role.

Where should I start?

The right order differs by role. The management track is written so you can skip the technical chapters without getting stuck.

Executives and programme leads

Deciding budget and priorities · 112 min

  1. From AlphaGo to now
  2. What AI is
  3. What gets better
  4. Adoption is not transformation
  5. Why now
  6. How transformations fail
  7. Three questions for choosing work
  8. Actually score your candidatesPractice
  9. The roadmap
  10. Regulation and compliance
  11. Measuring and reporting results

Then read “The adoption process” in order. You can skip the technical parts without getting stuck.

Practitioners

Using it every day · 121 min

  1. From AlphaGo to now
  2. What AI is
  3. Your first tryPractice
  4. Getting the answer you wanted
  5. Things to watch out for
  6. Glossary
  7. Why it is wrong so plausibly
  8. Tool use
  9. Finding and attaching sources
  10. Try attaching sourcesPractice
  11. The four parts of a good instruction
  12. Rewriting instructionsPractice

Then go to “Getting started” for whichever product you use — HyperTeams or Connect.

No technical background

Getting stuck on the technical words · 58 min

  1. What your computer is doing right now
  2. Files, folders, paths
  3. The terminal and commands
  4. Programs and languages — Python, JavaScript, Node
  5. Networks and communication
  6. Requests and responses — HTTP
  7. What an API is
  8. Take one request apartPractice
  9. What a database is
  10. Accounts, passwords, API keys, permissions

Then go to “AI foundations”. The install and API chapters in the product parts will now read straight through.

Engineers and technical leads

Building, integrating, securing · 93 min

  1. Glossary
  2. What a language model actually does
  3. Tool use
  4. Agents — the loop that runs itself
  5. Finding and attaching sources
  6. Choosing a model, and cost
  7. MCP — why a standard was needed
  8. When what it reads becomes a command
  9. Tools are permissions
  10. Audit your tool permissionsPractice
  11. Audit trail and observability

Then continue to “Hyper-agile” and HyperTeams “Extending it”.

AI TransformationHyperTeamsHyperTeams Connect

AI Transformation

New to AI

58 minLecture slides · 80 min
  • From AlphaGo to now

    Why nothing changed for six years after 2016, and what changed in 2022.

  • What AI is

    This is not about robots. Start with how it differs from search.

  • What gets better

    Five things that actually change in a working day — with real inputs and outputs.

  • Your first tryPractice

    Three first conversations you can copy as-is. Five minutes.

  • Getting the answer you wanted

    Five techniques that change the result for the same request — bad example, good example.

  • Ask for the same thing three timesPractice

    Not a chapter to read — a chapter to do. Add one technique at a time and watch the answer change.

  • Things to watch out for

    Made-up facts · stale information · company data. When to trust and when to check.

Reference

9 minLecture slides · 25 min
  • Glossary

    Every term in this manual in one place. Start here when a word is unfamiliar.

Why transform

64 minLecture slides · 70 min
  • Adoption is not transformation

    Why the same tool moves the numbers at one company and not the other.

  • Why now

    Why things that did not work a few years ago work now — three changes at once.

  • How transformations fail

    Three typical failures, and how many months in you can spot each one.

  • Score your own organisation's readinessPractice

    Not a chapter to read — a chapter to do. Put your own organisation against the three failure modes.

What to do first

69 minLecture slides · 85 min
  • Three questions for choosing work

    There are always more candidates than you can do. Criteria for what to drop.

  • Quality

    Does the customer-facing product get better — effects arrive late and last long.

  • Cost

    The fastest area to prove. Which makes it the best first project.

  • Revenue and margin

    The largest impact. And the most prerequisites.

  • Sequencing

    Impact order and starting order are opposites. Why, and how to decide.

  • Actually score your candidatesPractice

    Not a chapter to read — a chapter to do. Write six candidates and throw half away.

The adoption process

132 minLecture slides · 110 min
  • The roadmap

    Four phases, and the gate that decides whether you may move on.

  • Phase 1 — define the problem

    Define a specific business problem AI can solve.

  • Phase 2 — data and system assessment

    Confirm "can it be built" before building it. Skip this and you stall mid-POC.

  • Regulation and compliance

    Korea's AI Framework Act has been in force since 22 January 2026. Start by checking whether it applies to you.

  • Phase 3 — design and run a POC

    The most important phase. Its purpose is not to succeed but to decide.

  • Design a POC on one pagePractice

    Not a chapter to read — a chapter to do. It is not finished until the stop conditions are written.

  • Phase 4 — production rollout

    Scaling is not widening access. It is embedding.

  • Measuring and reporting results

    "It feels better" does not get funded. Miss the pre-deployment baseline and you can never prove it.

  • Design a baseline yourselfPractice

    Not a chapter to read — a chapter to do. Measure today or never.

  • Audit trail and observability

    You have to be able to answer "why did the agent do that?" What to record, and what never to.

  • Change management

    The top cause of failure is people, not technology. The half the roadmap does not write down.

IT basics

67 minLecture slides · 90 min
  • What your computer is doing right now

    Storage, desk, worker — three things to tell apart. It is also why "restart it" works.

  • Files, folders, paths

    Read one path and neither working folders nor Drive will trip you up.

  • The terminal and commands

    Why the black window is still here, and what "command not found" really means.

  • Programs and languages — Python, JavaScript, Node

    Why you are told to install Node, and why the examples are always Python.

  • Networks and communication

    IP, ports, domains. This is where localhost:27777 finally makes sense.

  • Servers, clients, the cloud

    A server is not a special machine. And the cloud is someone else's computer.

  • Requests and responses — HTTP

    One round trip is the whole thing. Including why 401 and 404 are different problems.

  • What an API is

    A counter opened for programs. And what changes the moment you use one.

  • Take one request apartPractice

    A browser is all you need. See a request, a response and a status code for real.

  • Shapes of data — JSON, CSV, documents

    Why some files an AI just reads, and others need converting first.

  • What a database is

    Tables, rows, columns, keys. And why a spreadsheet stops working.

  • Accounts, passwords, API keys, permissions

    Who are you and what may you do are two separate questions.

How the technology works

157 minLecture slides · 120 min
  • What a language model actually does

    How "guess the next word" turns into summarising and translating.

  • Why it is wrong so plausibly

    Hallucination is not a bug; it comes from the structure. So you manage it rather than remove it.

  • Tool use

    Giving the model hands — it stops only saying what it knows and starts looking things up.

  • Finding and attaching sources

    The most reliable way to stop it pretending to know. Search first, then answer with citations.

  • Try attaching sourcesPractice

    Not a chapter to read — a chapter to do. Thirty minutes.

  • Which kind of learning?

    The answer to "can't we just train it on our data?" — there are four kinds, and one of them is the expensive one.

  • Agents — the loop that runs itself

    The difference between using a tool once and taking a goal and repeating until done.

  • The context window

    Everything the model is currently looking at. What "memory" really is.

  • When context gets pushed out

    Why it acts as though it forgot your instructions, and the habits that prevent it.

  • Push context out on purposePractice

    Not a chapter to read — a chapter to do. Manufacture the moment the beginning falls off.

  • Memory that outlives the session

    Close the window and it is all gone. Three layers, and what belongs in each.

  • The four parts of a good instruction

    Goal · scope · done condition · context. What goes wrong when each is missing.

  • Rewriting instructionsPractice

    Five bad instructions to fix yourself. Write your version before looking at the answer.

  • Evaluation (evals)

    Knowing whether you are doing well from numbers rather than instinct. Mandatory at organisational scale.

  • Choosing a model, and cost

    Run everything on the best one and you pay 3-5x. What goes where, and the three ways to save.

Tools and MCP

63 minLecture slides · 50 min
  • MCP — why a standard was needed

    When attaching 3 tools to 3 agents meant building 9 integrations.

  • What an MCP server provides

    Tools · resources · prompts. In practice it is mostly tools.

  • When you have too many tools

    Why attaching 200 hurts accuracy too, and the mechanisms for narrowing them down.

  • When what it reads becomes a command

    Prompt injection. Instructions planted in a web page, document, or email becoming the agent's orders.

  • Tools are permissions

    Attaching an MCP server is granting the agent a permission.

  • Audit your tool permissionsPractice

    Not a chapter to read — a chapter to do. Walk the tools you have enabled right now.

Hyper-agile

128 minLecture slides · 165 min
  • What agile solved and what still blocks

    What the two-week sprint was actually sized for. And what is inside it.

  • What hyper-agile changes

    Not shorter sprints. A different thing doing the coordinating.

  • Micro-sprints

    The point is independence, not size. Why splitting alone is not enough.

  • Try splitting your own backlogPractice

    Not a chapter to read — a chapter to do. Split one live work item in forty minutes.

  • IntentOps

    The developer's output changes from code to intent. So what do they own?

  • Fluid software

    The definition of legacy changes. And what you must protect moves.

  • Map of the four processes

    Where analysis, design, build and test went. A map before the next four chapters.

  • Process 1 — capturing intent

    A PM agent asks back. Ambiguity left here does not resolve itself.

  • Process 2 — agent orchestration

    Not a human team's hierarchy transplanted, but roles running concurrently.

  • Process 3 — automatic validation

    Where the self-healing loop runs. And where this methodology most often collapses.

  • Design your validation gatesPractice

    Not a chapter to read — a chapter to do. Write the conditions under which it can ship unwatched.

  • Process 4 — immediate delivery

    Deployment is not the end but the start of the next intent.

  • Guardrails and a pre-adoption checklist

    Not devices that slow you down — conditions that let you survive the speed.

HyperTeams

Getting started

43 minLecture slides · 70 min
  • What HyperTeams is

    A control room for directing Claude Code on your own machine from a web screen.

  • Prerequisites

    Claude Code and Node.js. Why each is needed and how to check.

  • Installing

    One line. And what it asks you during the install.

  • First run and connecting

    One word to start, a browser to get in. And how to stop it.

  • Check your first connectionPractice

    Not a chapter to read — a chapter to do. Walk through each place people get stuck, before you are stuck.

Delegating work

37 minLecture slides · 50 min
  • Registering a working directory

    One folder, one card. How to choose them and how to split them.

  • Your first taskPractice

    A first task you can follow along with. Start in plan-only mode.

  • Deciding how much to hand over

    The four autonomy levels and when to use each.

  • The terminal

    A command window that stays open in a working directory. It survives closing the screen.

  • Scheduled runs

    Handing repeating work to the clock. Designing for when nobody is watching.

Running it

41 minLecture slides · 60 min
  • Access from anywhere

    A tunnel gives you a fixed address. Lock it before you open it.

  • Command reference

    Start · stop · restart · setup · upgrade · uninstall.

  • Troubleshooting

    A chapter to look up by symptom. Starting with how to read the log.

  • Recover a stalled jobPractice

    Not a chapter to read — a chapter to do. Break it on purpose and walk the recovery in order.

Extending it

73 minLecture slides · 85 min
  • The two API surfaces

    Both default to off. Start with what opens and what does not.

  • Directing work over REST

    Hand work to your machine from another system. Starting with the missing idempotency key.

  • Drive a job over RESTPractice

    Not a chapter to read — a chapter to do. Create the duplicate run yourself.

  • Getting models — downloading and running them

    The next chapter says "your machine's model answers". This is where that model comes from.

  • Your machine as a model server

    It is OpenAI compatible, so the SDK stays. Only the base address changes.

  • Working with audio and images

    Text to speech, speech to text, image generation. And cloned voices, which OpenAI has no spec for.

Automation in practice

108 minLecture slides · 120 min
  • Building pipelines with schedules

    There are two kinds of schedule — hand it to an agent, or run a command.

  • Build one pipeline end to endPractice

    Not a chapter to read — a chapter to do. Chain three stages and break the middle one.

  • Capturing procedures as skills

    A unit that outlives an instruction. The folder is the state.

  • Turning documents into material

    PDF, Word, Excel and PowerPoint into searchable copies. And how git fits in.

  • Case study — a content factory

    The previous six chapters joined into one. A production pipeline that runs daily.

  • Collecting with a browser — Crawlee + stealth

    How to pull data from pages that only open in a real browser. The wiring is three lines; the hard parts are on either side of it.

  • Getting material out of video — yt-dlp + speech-to-text

    Turning YouTube, Instagram and TikTok videos into material you can read. Most of the time you never need the video file at all.

  • Korean official documents — hwp and hwpx

    Reading, generating and filling Hangul documents. Without Hancom Office, and without Windows.

HyperTeams Connect

Core concepts

35 minLecture slides · 55 min
  • What Connect is

    An AI workspace a team shares. How it differs from HyperTeams.

  • Workspaces

    Everything lives under one. How to split them is your first decision.

  • Threads

    One job, one conversation. It keeps running after you close the window.

  • The work board — conversations as work

    Open a group and you get cards. What needs you, what is running, what nobody has touched.

  • Run the work board for a dayPractice

    Not a chapter to read — a chapter to do. Treat three conversations as work items.

Getting started

19 minLecture slides · 30 min
  • Creating an account and workspace

    From sign-up to a working workspace. Follow along with the screens.

  • Your first conversationPractice

    Three you can copy as-is. Including checking a tool call.

  • Slash commands — /every

    Turn what you are typing into a repeat. And retrying is no longer a command — it is the default.

Agents and tools

92 minLecture slides · 100 min
  • What agents are

    Five kinds and when to use each. How to read the list screen.

  • Creating a sub-agentPractice

    How to write the instructions. One real example from start to finish.

  • Connecting an MCP server

    There are two directions. Outside-in, and inside-out.

  • Connecting a database

    PostgreSQL, MySQL, SQLite, MongoDB as tools. Start with a read-only account.

  • The playground

    Call tools directly. The place to check before you rely on them.

  • Turning tools on and off

    Turning off tools you do not use raises accuracy.

  • Drive

    The workspace's file store. What you upload becomes material for answers.

  • Connecting a system

    Registering your machine to a workspace. The token is a password.

  • Managing systems — slots and addresses

    The first machine is free. What slots, addresses and tags each are.

  • Scheduled — stack it up, hand it to the clock

    The queue and schedules are one screen now. And one word — scheduled.

  • Set one schedule runningPractice

    Not a chapter to read — a chapter to do. Design for the times nobody is watching.

  • Channels — the ways in

    Four ways to reach an agent without using the screen.

  • Email agents

    One address becomes a contact. Send mail, get a reply.

  • Chat widget

    A support window embedded in your site. Always restrict the domain.

Managing the team

78 minLecture slides · 80 min
  • Members and roles

    Three roles and what each can do. How many admins to have.

  • Groups and departments

    Groups group conversations, departments group people. Grant permissions to departments.

  • Pending approval and operator rights

    Requests from people without run rights stop before they execute. Who releases them.

  • Actually divide up the permissionsPractice

    Not a chapter to read — a chapter to do. Grant to groups, not to names.

  • Usage and credits

    Look at the distribution, not the total. That is where the leak is.

  • Plans and tiers

    Credits are not bought and topped up — a monthly plan issues them. What each tier unlocks.

  • Calling it via API key

    Talking to a workspace from outside. Keys are harder to retire than to issue.

  • Getting notifications

    Your phone can tell you while the app is closed. The switches live inside the header bell.

  • Glossary

    Register the abbreviations only your company uses. Searches start finding what they used to miss.

Operations and security

55 minLecture slides · 65 min
  • One page for security review

    The questions an internal review asks. Where the boundaries are and what locks each one.

  • Data masking

    Personal data is swapped for placeholders before it reaches the model. Replaced, not deleted.

  • Audit log

    Who asked what, and which document the answer came from.

  • Reconstruct a week from the audit logPractice

    Not a chapter to read — a chapter to do. Answer four questions from the log alone.

  • SSO and department sync

    Sign in with company accounts, and map their groups to departments.

  • Troubleshooting

    What to check first when it doesn't work, symptom by symptom.

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