Full Transcript

·YouTLDR

Conductor CEO Charlie Holtz Walks Us Through His AI Coding Setup

16:261,129 summary words · ~6 min readEnglishTranscribed Jun 16, 2026
Summary

Charlie Holtz outlines a voice-driven, multi-agent development workflow using Conductor, where human engineers act as strategic orchestrators and code is treated as a transient byproduct of prompt engineering.

This shift transitions software engineering from manual syntax writing to high-level systemic architecture, fundamentally altering the economics of software creation and developer output scaling.

Section summaries

0:00-2:20

Asynchronous Multi-Agent Workspaces

watch

Charlie introduces Conductor, a native desktop application designed to orchestrate multiple AI coding agents. He showcases his physical workstation, highlighting a cheap gooseneck microphone used to whispering prompts to Claude inside open offices. He demonstrates executing asynchronous tasks using custom keyboard shortcuts to jump between parallel Git workspaces, kicking off a Linear ticket investigation while reviewing other PRs.

  • A dedicated microphone helps facilitate frequent voice prompting in shared spaces.
  • Asynchronous agent management shifts the human's role from writing syntax to reviewing PRs.
  • Parallel workspaces allow low-risk experimentation on several features simultaneously without branch pollution.

Essential introduction to the mental model of multi-agent development workflows and hardware optimizations.

2:20-4:17

Conduct on the Go & 'Caveman Mode'

watch

Charlie demonstrates triggering codebase edits remotely by sending a voice request into his phone to build a new feature. He reveals he rarely writes raw code manually anymore, reserving IDE file editing for rare environment variable changes. When manual changes are absolutely necessary, Conductor provides a 'caveman mode' that unlocks keyboard typing, though it is treated as a rare exception. He also introduces their agent dashboard concept designed to make developers feel like a CEO directing digital employees.

  • Mobile-based speech-to-text workflows allow complete code updates from anywhere.
  • Direct typing is treated as an exceptional edge case termed 'caveman mode'.
  • Modern developer environments are evolving toward supervisory dashboards rather than simple text fields.

Explains how a voice-driven, prompt-only iteration loop works in a production codebase.

4:17-6:32

Local Models, Custom Prompts & AI-Free Zones

watch

Charlie shares his software utility choices, using a high-spec 128GB RAM Mac to host a local Parakeet speech-to-text model for private voice transcription. He walks through their custom system instruction files, which explicitly instruct the model to write clean startup code instead of bloated enterprise patterns. Crucially, Charlie explains 'slot-free zones'—codebase paths that AI agents are forbidden from modifying to maintain high-integrity reference baselines.

  • Local open-source models can run locally on high-RAM machines to provide ultra-fast voice transcription.
  • Highly-customized markdown guidelines are necessary to align models to a specific team's coding philosophy.
  • Isolating AI-free zones prevents models from entering a feedback loop of generating bad code based on prior model mistakes.

Provides vital architectural advice on avoiding AI code decay and protecting core codebase structure.

6:32-9:52

Tech Stack, UI Craftsmanship & Desktop Agent Limits

optional

Charlie details Conductor's technical stack, which is built as a Tauri app utilizing TypeScript, a native Safari renderer, and a lightweight Elixir/Phoenix web server. He strongly warns against allowing AI agents to design core layouts or UX, asserting that AI UI decisions lack handcrafted polish. He notes the physical limitations of local agents, such as execution halting when a laptop closes, signaling a future move toward cloud-based execution runtimes.

  • The Conductor app leverages a lightweight Tauri framework combined with TypeScript for desktop-native performance.
  • Aesthetic decisions, fine details, and UX styling should remain human-designed to preserve quality and branding.
  • Cloud-based environments are required to support long-running, continuous agent tasks independent of local CPU constraints.

Valuable technical context, but less critical if you only care about prompt engineering practices.

9:52-12:01

Opinionated Design, Model Choices & GUI vs CLI

watch

Charlie explains how the Conductor team relies on internal gut feeling and aggressive dogfooding instead of product telemetry or A/B testing. He breaks down model selection criteria, utilizing Claude Opus for creative brainstorming and system design, while deploying Codex for brute-force debugging and intensive tool usage. Finally, he argues that GUI-based spaces are superior to command-line terminals because human beings are naturally visual and spatial creatures.

  • Dogfooding your own tool daily is more effective than analytics databases for early product development.
  • Deploy Claude Opus for creative brainstorming and Codex for intensive tool calls and debugging.
  • Graphical multi-panel interfaces align better with human spatial reasoning than command-line terminals.

Provides clear guidelines on how to split engineering tasks between different frontier models.

12:01-14:17

Token Spending and Community Experiments

optional

Charlie shares their early scaling metrics, revealing a peak API cost of $22,000 in a single month during Conductor's early development. Despite this high token spend, the team prioritizes keeping the absolute lines of code in the codebase minimal to avoid bloat. Charlie also points out community behavior, such as a user who hijacked their IPC calls to build a custom mobile app, and introduces 'Gary mode' which displays uncollapsed raw agent tool calls.

  • High token spend is acceptable during early research, but codebases must remain compact to prevent runaway complexity.
  • Advanced power users require raw, uncollapsed agent tool logs to effectively audit agent behaviors.
  • Desktop IPC APIs can be reverse-engineered to craft custom mobile interfaces for remote orchestration.

Explores extreme usage metrics and user behaviors that are specific to power-users.

14:17-16:23

Malleable Software & Code as Sawdust

watch

Charlie shares his philosophical view on software development. He compares developers to musical conductors who direct specialized sub-agents and only occasionally zoom in to correct specific components. He defines code as 'sawdust'—a disposable byproduct of design—while prompts and structural descriptions represent the real value. Finally, he anticipates a future where applications are highly malleable, enabling users to customize and mod software like video games.

  • Software engineers are transitioning from builders to conductors who coordinate specialized agent ensembles.
  • Prompts and high-level architectural designs represent the true long-term intellectual property of a company.
  • Software is heading toward a modular, malleable model where end-users customize workflows similarly to game mods.

Contains the most profound, forward-looking insights of the interview regarding the future of software creation.

Key points

  • Code as Sawdust — Raw code is no longer the durable asset; instead, high-level prompts and conceptual system designs are the core intellectual property, while the outputted code is a disposable byproduct that can be re-generated by successive generations of models.
  • Slot-Free and AI-Free Zones — Establishing explicit human-only boundaries within a codebase ensures that the core architecture remains clean and prevents the model from generating bad code recursively based on its own errors.
  • Architectural Human Sovereignty — High-level UI/UX layouts, core application structures, and user experience decisions must be meticulously crafted by humans to prevent generic, uninspired, or uncrafted products.
  • Asynchronous Multi-Agent Orchestration — Rather than waiting for a single AI chat to complete, developers should spawn parallel, isolated workspaces to execute multiple coding tasks simultaneously, reviewing outputs like a project manager or musical conductor.
We're a startup. You're probably used to writing enterprise code, but that's not how we do things around here. Charlie Holtz
Code is almost like uh sawdust now in that like it used to be that code was the thing you were building. Charlie Holtz

AI-generated from the transcript. May contain errors.

0:00

Hello, I am Charlie, the co-founder of

0:02

Conductor, which is an app that lets you

0:04

orchestrate a bunch of coding agents on

0:06

your Mac. And we were YC Summer 24. Uh

0:10

and I'd love to show you my setup.

0:22

So, a recent thing that I can't live

0:24

without is this uh gooseneck microphone,

0:26

$20 on Amazon. We are all trying to talk

0:29

to our computers more. Um

0:31

one issue with having like an open floor

0:33

plan office is that can be pretty

0:35

distracting. So, one advantage of these

0:37

is you can like lean over and whisper

0:39

into Claude and be like, "Please uh

0:41

merge PR 3475."

0:44

And it's a a little bit less disruptive.

0:46

I think we we all got these in an

0:47

attempt to encourage more talking to

0:49

computers. I spend most of my day in

0:51

Conductor. We're using Conductor to

0:53

build Conductor. One thing that I do is

0:55

I'm constantly kicking off new tasks.

0:57

So, I'm constantly um going command N.

1:00

Uh that was actually a sneak a sneak

1:02

peek of something we are working on,

1:04

which is Claude workspaces. But I'll

1:05

I'll I'll do command N and then I'll

1:07

speak into my computer and say, "Um can

1:10

you take a look at the latest linear

1:13

issue and give me uh a rough pass at how

1:16

you'd solve it." Stuff like that. And

1:18

then press enter. And then I can see

1:20

that it's running in the sidebar. And

1:21

while Claude is working, I'll go to

1:23

another chat. I'm very into keyboard

1:25

shortcuts. So, like try to make

1:26

everything have a keyboard shortcut. So,

1:27

in this case I'll do command shift Y. I

1:30

can see here that this workspace is

1:32

ready to merge. So, I'll take a look at

1:33

it, give Claude a quick review. Um in

1:36

this case it's a pretty small PR. And

1:38

so, it looks good for to me, but quite

1:40

often Claude won't get things exactly

1:42

right. And I'll give things uh a comment

1:46

like a GitHub-style comment, say, "Uh

1:48

this looks a little bit weird to me. Why

1:50

do we need this?"

1:51

Press enter, get Claude running, and

1:53

then go back to a different workspace. A

1:56

big part of um how I use Conductor is

1:58

like experimentation. Like I'm always

2:00

kicking off workspaces to try different

2:02

ideas. Most of them don't make it in.

2:05

So, like you can see we have like four

2:06

PRs here that are in review, but like

2:09

there's a bunch of random ideas that

2:11

I've tried here that are in progress

2:13

that you know, may never see the light

2:15

of day. If I like it, then it might get

2:17

promoted to like an internal setting and

2:19

then an experimental setting. Okay, so

2:20

something I'm very excited about is on

2:22

the go. Uh I'm going to just speak into

2:24

my phone and it's say, "Let's add a new

2:26

feature where I can change the theme to

2:29

hacker mode."

2:32

And then I'm going to click conduct.

2:35

And then my computer starts working on

2:37

it and I can uh conduct on the go.

2:40

>> Do you still write code today?

2:41

>> No.

2:42

Yeah, no. Very occasionally I will like

2:44

edit Tailwind classes or like open up an

2:47

IDE to change like a .env file. We

2:51

actually added a mode that we call

2:54

caveman mode, which is uh you click this

2:57

and you can actually type with your

3:00

keyboard and like make changes in a

3:02

file. Once in a while you do need to

3:04

like make a change to a file by hand,

3:07

but it's like it's called caveman mode

3:09

for a reason. Most of the time if I want

3:10

small edits, I'll like highlight and

3:12

then uh tell the AI um about my comments

3:15

or I'll just like speak into my computer

3:17

and say, "That button looks a little too

3:19

wide. Like, can you uh can you make it

3:21

smaller?"

3:22

By the way, this thing is now ready to

3:24

merge. Um so, I just

3:25

wanted to show you I can now click

3:27

archive and it's gone from my side panel

3:30

and like merge into the codebase and uh

3:32

this one I can see that there are checks

3:34

running and once it's finished, I can

3:35

just like click merge and and get it in.

3:37

We recently added this thing called

3:39

status in the left. So, when something

3:42

like is kicked off, it's in progress and

3:44

then once there's a PR created, it's in

3:45

review and then once it's merged, it

3:47

goes into the done folder. We have this

3:49

new concept of a dashboard page where uh

3:53

from like one place you can see what all

3:55

your agents are working on and then like

3:57

take them to the next action. But, we're

4:00

still messing around with like what the

4:02

what the interface should look and feel

4:03

like. But, the ideal is like you should

4:05

feel like the CEO of a little company

4:07

and you can see all your agents working

4:09

for you and they'll bring you up like

4:10

digestible reports and then you can put

4:12

them in the right direction if they like

4:14

need some correction or just merging in

4:16

if it looks good.

4:17

>> What are your other main applications,

4:20

main software that you use?

4:22

>> I use Telegram a decent amount to talk

4:23

to my open claw. That's that's been a

4:25

recent addition for me. I use spokenly

4:28

for text to speech. That's what comes

4:30

out when I press control space. It's

4:32

actually running a local model. It's

4:34

running Parakeet. I have a really beefed

4:36

up computer. So, it's like 128 GB of

4:39

RAM. Partly so I can like run local

4:40

models like Parakeet. But, as a side

4:43

note, I have just recently ordered the

4:45

MacBook Neo, like the the bottom of the

4:47

line lowest RAM, lowest memory. I I got

4:50

it basically to like force myself to

4:52

like use the lowest spec option.

4:53

>> Are there any tweaks that you do still

4:55

stand by that are the customizations

4:57

that actually do matter?

4:58

>> A couple of things like we put a lot of

5:01

time into our skills files and our like

5:03

Claude MD. If I like open it up like you

5:06

can see you can see like this is

5:08

probably a few hundred lines. There's

5:10

like some interesting things in here

5:12

like it's we say engineering practices.

5:14

We're a startup. You're probably used to

5:15

writing enterprise code, but that's not

5:17

how we do things around here. We have

5:19

like a lot of things like that that

5:20

we've like put into our Claude MD and

5:22

our skills files over time. What else do

5:24

I do? I always use fast mode. That's not

5:27

a default. If you're trying to token max

5:28

like you have to be in fast mode. I do

5:30

use a context 7 MCP. I think that's

5:32

pretty helpful to get documentation.

5:34

But, other than that like use most of

5:36

the most of the things out of the box.

5:38

One core thing is that we always run

5:41

Claude and dangerously accept all

5:42

permissions. Like that is not the

5:45

default and that is uh default way to

5:47

run Cloud and Conductor. I think

5:49

something that's really important to us

5:50

is having like clear boundaries between

5:53

uh well, we call them slot-free zones.

5:56

Um and having like parts of the codebase

5:57

or like parts of the documentation that

5:59

we like know is written by a human. It's

6:02

possible like that the AI the AI can

6:04

contribute to the the slot-free zones,

6:05

but like it has to be like every line

6:08

has to be read by a human. I think this

6:09

actually like

6:11

served us pretty well. Um because if if

6:14

you're not careful like the AI can like

6:17

get in a a vicious a vicious cycle where

6:19

like it sees bad code, and then it

6:20

writes more bad code as a result. And

6:22

the same thing can happen in like the

6:23

positive uh positive direction. We have

6:26

like some lines in our codebase that are

6:28

like do not touch if you are an AI. Like

6:31

this is for human eyes only.

6:32

>> What's the Conductor tech stack?

6:34

>> It's a Tauri app. So, it's using the

6:35

native uh Safari web renderer, and the

6:38

backend is technically Rust, but we

6:41

write almost everything in TypeScript.

6:43

Um so, it's like probably 90 95%

6:45

TypeScript on the like the desktop app.

6:47

The web app is Elixir. It's a it's a

6:50

Phoenix app. It's a very small app

6:53

because literally all you can do in it

6:54

right now is just like log in. But, I am

6:58

I'm a huge Elixir fan, and I am always

6:59

like pushing for more Elixir in our

7:01

codebase when we can. But, um

7:04

most of what we're doing is in

7:05

TypeScript. Another thing we talk about

7:07

is like don't let the AI be your

7:08

architect. Even the concept of like a

7:10

workspace here in the sidebar, which in

7:13

some ways is just like an abstraction

7:16

around a work tree, at least for right

7:17

now. Like that's actually going to

7:19

change soon. But, even that like concept

7:21

of a workspace like

7:23

we as a human had to like think that

7:25

through. The other thing is like like

7:27

design and like interface decisions.

7:30

This concept of having like all your

7:31

chats here on the left, and then the

7:33

chat in the middle, and then the right

7:35

sidebar where you can like review code

7:37

changes or run your app. Like we put a

7:40

lot of thought into into those

7:42

decisions, and I think if you let the AI

7:43

make your like UI choices for you, you

7:46

can end up with something that like it

7:48

just doesn't feel like crafted. It's

7:49

like really important to us that it

7:51

feels crafted. Like even this decision,

7:53

so like we we thought for a long time

7:55

about how this open in button should

7:57

work, which is kind of funny because now

7:58

there's like so many apps have like have

8:00

the same pattern. The thing that we were

8:02

really thinking about is whether we

8:03

should show the icons in the top. I was

8:06

pretty against showing icons here at

8:10

first because it just feels like okay,

8:12

in the top bar of our app like we're

8:14

like advertising a different app, but

8:16

now I I really like it and it's like a

8:17

clear visual of like what's going to

8:19

happen when you click it. I think

8:21

something we would do a bit differently

8:22

is building the core of the app around

8:25

like human written APIs and like

8:27

contracts that the AI wouldn't

8:29

contribute to as much and then I think

8:31

that like it's important to have a big

8:33

chunks of your code base be like have

8:34

like free reign for the AI where you can

8:36

just like throw a ton of different ideas

8:38

at it and know that not going to affect

8:41

the core infrastructure. And I think

8:43

right now the the boundaries are a

8:44

little murky and like that's the thing

8:46

we're we're working on improving. I

8:48

think it's really important to us that

8:49

we stay like

8:51

a little ahead of the frontier. Like

8:53

push push people's comfort zones a

8:56

little bit more than they'd expect. When

8:59

we first launched conductor,

9:01

most of the feedback we got was like

9:03

this is crazy. Like I barely can manage

9:05

like one cloud code or like one code X.

9:07

Like how am I going to manage like three

9:09

or like even five? We also purposely

9:12

made it so like you can't edit files

9:14

directly. Like we like made it so that

9:16

like anytime a workspace like has to be

9:19

a work tree has to then create a PR and

9:21

then you have to merge it. So we really

9:23

like enforce our workflow. I think like

9:25

what's what's exciting but also hard

9:27

about where we're at is like we have to

9:29

constantly adapt to where like the

9:31

models are going. So that's one reason

9:33

like we are putting so much work into

9:35

like cloud right now is right now like

9:37

you shut your laptop and the agents are

9:39

going to stop running. But like feels

9:41

like we're very quickly moving to a

9:42

world where the agents are going to run

9:44

for 10 times longer and they're going to

9:45

be 10 times smarter and they're going to

9:47

need to run in an environment that like

9:48

isn't constrained by like your Mac's

9:51

like CPU.

9:52

>> It seems like you're building conductor

9:53

in a very opinionated way. How do you

9:55

build the conviction behind your

9:56

decisions?

9:57

>> Okay, that's a great that's a great

9:58

question cuz yeah like it especially for

10:00

like our audience, they want a lot of

10:02

like configuration. And I do think it is

10:04

important for the tool to like be

10:06

flexible and to like feel like yours.

10:08

But the way we build conviction is we

10:11

force ourselves to use it because

10:13

actually we don't even force it like

10:15

we we just use it every day. And so if

10:17

it doesn't feel right, like we like

10:19

quickly can can decide. But we we don't

10:22

we're not big on analytics or like

10:24

looking at like our AB testing or like

10:26

it's very much a like gut feel, this

10:29

feels right. Like when I click this, it

10:31

feels right that it opens in the center

10:33

and that way like I don't need a

10:34

separate composer and I can type

10:37

messages here and it all feels unified.

10:40

>> You sound like you default to cloud code

10:41

in a lot of places, but conductor

10:42

supports codex too. When do you reach

10:44

for codex?

10:45

>> Oh yeah, I've recently actually been

10:46

using codex more. Codex is like the

10:48

workhorse. It will power through like a

10:50

specific problem or like uh it's not

10:53

afraid to do a ton of tool calls and

10:55

like debug something with me for a long

10:57

time. Cloud I'll reach for when I want a

10:59

little more like back and forth. I feel

11:01

like Opus is just like a little more

11:03

creative, like a little more

11:05

of a partner. And so I would say like

11:07

when I'm building out a new a new

11:09

feature, like I I probably would like

11:11

instinctively reach for Opus. And then

11:13

when I'm like, "Okay, now we just want

11:14

to get stuff done." like I'll go to

11:16

codex.

11:17

>> Why isn't just a terminal good enough?

11:20

>> There's a reason

11:21

uh we moved from terminal interfaces to

11:24

like GUI interfaces in the '80s. Like I

11:27

think humans are spatial visual

11:29

creatures and like having a a command

11:32

line interface just like feels like it's

11:34

feels very like restrictive and I think

11:36

it maybe works for the AI brains better

11:38

than the human brains, but I think just

11:39

like I want to know that okay, my chats

11:41

are over here and my like review panel

11:44

is here. I can talk to the AI in the

11:45

middle. I just think like yeah, bottom

11:47

line like humans are like visual visual

11:50

creatures. I also think like like out of

11:52

like a like zooming in a little bit like

11:54

there's a lot that you can't do in a

11:56

terminal um like that you can do with a

12:00

uh user interface.

12:01

>> Let's talk about token maxing.

12:03

>> Yeah.

12:03

>> What's your high water mark on lines of

12:05

code in a day or spend in a month?

12:07

>> I think the highest spend was when we

12:09

were starting out conductor like in July

12:12

2025. I spent $22,000

12:16

on tokens that month. Granted that was

12:18

with uh like previous generation of

12:20

models. Um and the lines of code was

12:23

must have been like tens of thousands

12:25

that month. I'm very big on spending

12:28

like on token maxing, like using fast

12:30

mode, like think extra hard all like

12:32

high effort all the time, but we're not

12:34

big on lines of code. We we try and keep

12:36

the lines of code minimal actually.

12:38

There's a bunch of reasons for this, but

12:40

I think like you can quickly spiral your

12:42

code base can spiral out of control if

12:43

you're like not careful about the lines

12:45

of code added. But I I I think about it

12:47

very differently if I'm like starting up

12:49

an app versus like working in

12:51

established code base like conductor.

12:53

>> What's different about your workflows

12:55

today from say 6 months ago?

12:57

>> On a lot of like hard PRs, I would open

13:00

an IDE and make changes

13:03

by hand and I also use GitHub like the

13:05

web app a lot a lot less now because I

13:07

can just like review the code changes

13:09

here in conductor and like add comments

13:12

here if I need to. We do have like a lot

13:14

of PR checks that run um and uh so

13:18

that's why we recently added this like

13:20

uh this checks tab which lets us just

13:22

like add comments from GitHub like into

13:24

conductor.

13:24

>> What's the most surprising thing you've

13:26

seen someone else do with Conductor?

13:28

>> One was like someone built like a mobile

13:30

version of Conductor by like hacking

13:32

together a bunch of our I don't actually

13:34

even really know how it works, but I

13:35

know it's like spoofing like IPC calls

13:38

to our desktop app, which is pretty

13:40

interesting. I think honestly

13:43

Gary has shown us a lot of what you can

13:45

do with Conductor. He is really putting

13:48

it to the test. I think I've learned

13:50

from him a bit about like how hard you

13:52

can go on skills. Like skills are very

13:54

much like a first-class thing in in G

13:56

stack and it's like it's there's some

13:58

like interesting ideas there, I think.

14:00

Like especially around like onboarding.

14:02

Then we've added uh actually a specific

14:04

mode for him called Gary mode, which by

14:06

default does not collapse any of the

14:08

tool calls. So, you can see all the tool

14:11

calls are default on collapse and uh you

14:14

can even actually see uh Gary's face

14:16

here if you're in Gary's mode.

14:17

>> What feels obvious to you and your team

14:19

that the rest of the world doesn't fully

14:21

understand yet?

14:22

>> Like I think there's like a lot of cool

14:23

stuff to explore with like collaboration

14:25

between humans and the AIs. Should you

14:27

be able to communicate with sub-agents.

14:29

Should you be able to have like

14:30

multiplayer chats where like multiple

14:32

people are working on the same thing

14:33

with the AIs. And then of course like

14:35

the a metaphor we'll we'll often talk

14:37

about is like feeling like the conductor

14:39

of an orchestra. You like uh wave the

14:41

baton and like the instruments are

14:44

playing in unison and then once in a

14:45

while you want to go to like the the

14:48

trumpet player and be like, "Okay,

14:49

you're out of tune." And then you want

14:50

to like zoom out to like the string

14:52

section and like uh you should play a

14:54

bit faster. But then most of the time

14:56

you're like conducting at the the

14:57

orchestra level. Code is almost like uh

15:00

sawdust now in that like it used to be

15:03

that code was the thing you were

15:05

building. It was like the structure. You

15:07

were putting time into like

15:09

in in into like crafting the code. And

15:11

now you're putting time into describing

15:14

what you want and how you want it to be

15:15

built and the code is almost just like

15:17

sawdust that comes out of that process.

15:20

And like that leads to like a lot of

15:21

like interesting conclusions. Like one

15:23

of them is like really what matters is

15:25

your prompts. And like when the next

15:26

generation of models come out, you can

15:28

just like rerun your prompts again and

15:30

then you'll get new code and the old

15:31

code didn't really matter. I think

15:33

that's one thing that like the world is

15:35

slowly waking up to. I think like the

15:37

submit a prompt like the prompt request

15:39

feature is sort of like an early

15:42

experiment with malleable software. I

15:44

the metaphor that I always think of when

15:46

I think of malleable software is like

15:48

video games and how like when you play

15:50

like Call of Duty, like the structure of

15:52

the game is the same for everyone and

15:54

like the skeleton is the same, but each

15:56

person can like I don't know like use

15:58

custom skins or like faster like reload

16:01

speeds or whatever. And like same way

16:02

you can like mod a video game, I want

16:05

you to be able to mod conductor and like

16:08

yeah, build in your own workflows a

16:09

little bit. It's important that like the

16:10

structure feels the same and like people

16:12

want software that's like been crafted

16:14

and been like really thought through,

16:16

but I also, you know, like video game

16:19

mods make make the game feel more like

16:21

your own and um I think that's going

16:23

[music] to happen with software as well.

More transcripts

Explore other videos transcribed with YouTLDR.

Get the TLDR of any YouTube video

Transcribe, summarize, and repurpose videos in 125+ languages — free, no signup required.

Try YouTLDR Free