Personal AI notes for talks & meetings · iPhone

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09.41●●● ▮

Your profile

So Facet knows what matters to you.

Role

My work

My goals

◎

Get the team using AI every week

◎

Save 4 hours a week on reporting

Interests

OperationsLeadershipChange

Save profile✓

Recording · Main stage00:00

Making AI useful in ordinary work

The best teams start with one boring task.

Ask who owns your data — before the price.

The model is rarely the problem. Data quality is.

Measure the workflow before and after.

Put the requirements in the tender.

Start with the data you trust least.

Written for · Team lead5 sections

Making AI useful in ordinary work

Main stage · 42 min

In short

AI succeeds in small tasks that repeat — not in big projects. For your team that means: start with the boring part, and measure it.

What matters most to you

01Start with one boring task your team repeats every week.
02Measure the workflow before and after — or you won’t know if it worked.
03Let the team pick the task. Ownership beats enthusiasm.

How it meets your goals

◎ Get the team using AI every week
One fixed task a week becomes a habit, not a project.
◎ Save 4 hours a week on reporting
The weekly report is exactly the repeated task the talk describes.

Your next steps

Pick one workflow at Monday’s meeting
Time it for a week before changing anything
Follow up in four weeks

From the talk

04:12“…start with one boring task.”
23:48“Measure the workflow before and after.”

Written for · Head of procurement5 sections

Making AI useful in ordinary work

Main stage · 42 min

In short

The focus moves from price to ownership: who owns the data, and what does the contract say? That is your strongest card in the negotiation.

What matters most to you

01Ask vendors who owns your data — before you ask the price.
02Put the requirements in the tender, not in an email afterwards.
03Price is the last thing you negotiate.

How it meets your goals

◎ Buy AI without losing control of our data
Data ownership as the first question gives you control back.
◎ One shared set of requirements for AI vendors
The talk’s questions are a ready starting point for your requirements.

Your next steps

Add three AI questions to the next tender
Ask legal for a standard data clause
Review one existing contract

From the talk

09:30“Ask who owns your data…”
31:20“Put the requirements in the tender.”

Written for · Developer5 sections

Making AI useful in ordinary work

Main stage · 42 min

In short

Model choice matters less than people think. Data quality decides whether a solution holds up in production.

What matters most to you

01Data quality is the bottleneck, not the model.
02Start with the data sources you trust least.
03Clean up the sources before you switch models.

How it meets your goals

◎ Make AI work on real data
Real data means: clean up the sources first.
◎ Fewer errors in our data pipeline
Errors start in the sources you trust least.

Your next steps

Map the three data sources you trust least
Add one data-quality test to the pipeline
Measure the error rate before and after

From the talk

17:05“Data quality is.”
36:02“Start with the data you trust least.”

Your profile

TL

Team lead

Leads an operations team of 8 at a logistics company

My goals

◎Get the team using AI every week

◎Save 4 hours a week on reporting

HP

Head of procurement

Buys IT and services for a municipality

My goals

◎Buy AI without losing control of our data

◎One shared set of requirements for AI vendors

DV

Developer

Builds the data platform at an online shop

My goals

◎Make AI work on real data

◎Fewer errors in our data pipeline

One talk. Two ways to use Facet.

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How sharing works

Try it · 30 seconds

See what Facet would write for you.

Take the same talk. Add your role and what matters to you. See how the takeaway changes.

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One talk. Everyone leaves with their own Facet.

Same recording, three different takeaways. Facet writes for the person listening, not for the room.

Same talk.
Different perspectives.

Everyone leaves with their own Facet.

Built around
your goals.

Your takeaway. Focused on what matters to you.

Stay present.
Capture what matters.

Everything that matters. Connected for you.

How it works

One tap. Then you listen.

REC 02:28

01
Record
Tap once. Facet detects the language, keeps the screen awake and transcribes while you look at the speaker instead of the keyboard.
02
Pin the moment
Double-tap anywhere when something lands. Facet works out why it mattered and timestamps it. Add a photo of the slide or a short note if you want.
03
Leave with a takeaway written for you
Tap Done. Facet rewrites the talk against your goals: what applies to your strategy, what you can act on tomorrow, what to skip. Share as PDF or QR.

For speakers

Speaking?
Share the room

Put a QR code on your slide. Everyone who scans leaves with a personal Facet of your talk — shaped by their role and their goals, not a one-size-fits-all recap. They can send questions while you speak; you read them in the app and answer aloud, and the answers land in everyone's Facets.

Your slide · on the screen12 / 24

Main stage · 2 pm

Making AI useful in ordinary work

Scan for your own Facet

You · the speaker

You shared the roomEveryone who scans leaves with their own Facet.

✓Shared — your link is live

“Making AI useful in ordinary work”

Share link

Allow questionsYou answer aloud and it lands in their Facets.

Save QR for your slides

Recording00:00

Making AI useful in ordinary work

Question from the room

Who owns our data if the vendor builds the model?

You answer aloud

Done

✓Recording finished42 MINFacets are now being written for the 3 who scanned.

Point at the QR code

✓You're in

Making AI useful in ordinary work

Your Facet is written for you when the talk ends.

Who are you?

TLTeam lead

Get the team using AI every week

Written for · Team lead

Main stage · 42 min

What matters most to you

Start with one boring task your team repeats every week.

For your goal
◎ Get the team using AI every week

One fixed task a week becomes a habit — not a project.

Your next step

Pick one workflow at Monday’s meeting and time it.

From the room

Data ownership belongs in the contract — worth knowing before you pick a tool.

Point at the QR code

✓You're in

Making AI useful in ordinary work

Your Facet is written for you when the talk ends.

Who are you?

HPHead of procurement

Buy AI without losing control of our data

Ask the speaker

Send

Written for · Head of procurement

Main stage · 42 min

What matters most to you

Ask who owns your data — before you ask the price.

For your goal
◎ Buy AI without losing control of our data

Ownership as the first question gives you control back.

Your next step

Add three AI questions to your next tender.

Your question, answered

It belongs in the contract, not an email. Ask for the right to have your data handed back.

Point at the QR code

✓You're in

Making AI useful in ordinary work

Your Facet is written for you when the talk ends.

Who are you?

DVDeveloper

Make AI work on real data

Written for · Developer

Main stage · 42 min

What matters most to you

Data quality is the bottleneck, not the model.

For your goal
◎ Make AI work on real data

Clean up the sources before you switch models.

Your next step

Map the three data sources you trust least.

From the room

Demand access to your own data and logs — or you cannot measure quality.

Who owns our data if the vendor builds the model?

◆Facet · talkMaking AI useful in ordinary workMain stage · 42 min

◆Facet · conferenceData in productionRoom B · 35 min

▲Pinned momentSlide: “Measure before and after”With photo · Data in production

◆Facet · seminarLeading in the age of AIBreakfast seminar · 30 min

09.41●●● ▮

facet

Chat with your knowledge

Every Facet becomes something you can talk to. Ask in your own words, then follow up.

What have I learned about getting my team started with AI?

Searching your Facets…Connecting the threads…Writing back…

Across three talks it points the same way: start with one boring task your team repeats every week [1].

Measure it before and after — or you won’t know if it worked [2]. And let the team pick the task: ownership beats enthusiasm [3].

Sources

[1]

“…start with one boring task…”

Making AI useful in ordinary work

[2]

“Without a baseline, it’s all anecdotes.”

Data in production

[3]

“Let the people who’ll use it pick the task.”

Leading in the age of AI

What do I do on Monday?

Searching your Facets…

Pick the task together with the team — the weekly report, say — and time it for a week before you change anything [1][2][3].

Ask across your Facets…Follow up…

FacetsReceivedAskProfile

Your knowledge base

Ask your
moments

Everything you’ve captured becomes something you can ask. “What have I learned about getting my team started with AI?” — Facet answers from the talks and conferences you’ve been to, and helps you take the next step.

Facet Store · opening soon

Will you be one of the first speakers in the Store?

Publish a talk you have already given. Someone who was never in the room buys it and gets their own Facet from it — written for their role, not yours. You set the price and take a share of every sale.

Opening soon

A CTOEngineering all-hands

What we learned moving 200 services off the monolith

Example

A founderStartup conference, main stage

Our first 100 customers — and the nine we should have turned down

Example

A clinical leadDepartment teaching session

Reading the room: triage decisions under time pressure

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A design directorTeam workshop

Designing for people who will never read the manual

Example

Illustrations, not listings. The Store opens with the first published talks — capture one in the app and you are already holding it.

Control

Your notes. Your device. Your call.

25: People can receive your Facet on a free share. They never pay — the person sharing does, and only above 25.
Auto: Language detected while you record. Your takeaway in the language you work in.
0: Recordings ever reach your audience. What leaves is the Facet, never your recording.

Next talk,leave smarter.

Download on theApp StoreiPhone · iOS 17 or later

Be present.Leave smarter.

One talk. Two ways to use Facet.

Listening?

Speaking?

See what Facet would write for you.

One talk. Everyone leaves with their own Facet.

Same talk.Different perspectives.

Built aroundyour goals.

Stay present.Capture what matters.

One tap. Then you listen.

Record

Pin the moment

Leave with a takeaway written for you

Speaking?Share the room

Ask yourmoments

Will you be one of the first speakers in the Store?

Your notes. Your device. Your call.

Next talk,leave smarter.

Same talk.
Different perspectives.

Built around
your goals.

Stay present.
Capture what matters.

Speaking?
Share the room

Ask your
moments