Build self-improving products

Imagine opening your laptop to a list of ready-to-merge PRs, written by your product.

Amplitude reads your product data, finds what needs fixing (or building), and opens the PRs. You review, merge, and move on. That’s a self-improving product.

Start for free

What’s a self-improving product...?

A self-improving product is one that gets better on its own. Every product runs the same loop: build, ship, measure. But measure is where it stalls. Self-improving products close the loop themselves.

Build

Ship

Measure

LOOP TIME

6 weeks

mostly waiting on humans

Build

Ship

Measure

LOOP TIME

1 day

and getting shorter

Self-Improving

Three ways to run the loop

Give a custom agent a job, and it runs on repeat. Your agent pulls context from Linear, GitHub, and Notion, then opens a PR to fix the issue. Fork one of 20+ agents we’ve already built.

Best for the small jobs that keep coming back: alerting, monitoring, bug fixes.

Browse the library

●

I can see in query_amplitude_data that 1 in 3 users drop before setup. Let me examine the relevant session replays to understand what’s going on.

●

Get(amp_session_replay_info)

└ Reviewed 2,556 session replays (ctrl+r to expand)

●

I can see in amp_session_replay_info that 847 users got stuck on the empty first screen. Let’s create a guided first-run flow to address this issue.

●

Add(guided first-run flow)

└ Writing src/onboarding/FirstRun.tsx (ctrl+r to expand)

export function FirstRun() {

– return <EmptyState title=“No projects yet” />

+ const { steps, complete } = useOnboarding()

+ return (

+ <GuidedFirstRun steps={steps} onComplete={complete} />

+ )

✽

Writing... (27s • 425 tokens • esc to interrupt)

>▮

▶▶ auto-accept edits on (shift+tab to cycle)

Your data feeds the loop

Your product talks constantly. Every drop-off, rage click, error log, and agent interaction says something about what works and what doesn’t. Amplitude hears the whole conversation.

Run the loop from your favorite surfaces

You get a self-improving product! You get a self-improving product! Everyone gets a self-improving product! With Amplitude, you can run the self-improving product loop from anywhere you work.

Your in-product home base. Ask any question, set up your custom agent, and review Wave’s product opportunities.

What should we build next?

Analyzing onboarding, replays, and feedback…

1 in 3 users drop before setup.

847 replays show them stuck on the empty first screen.

Opened PR #68472 to add a guided first-run flow, ready for your review.

Projected +18% setup completion.

Up next...

CSV export, requested by 41% of active accounts.

Review Flow

Open CSV export

Ask a follow up...

Auto

Tag @Amplitude in any channel to ask a question or kick off work without leaving the conversation.

Michael

2:43 PM

@amplitude

What should we build next?

Amplitude

2:44 PM

Analyzing onboarding, replays, and feedback…

1 in 3 users drop before setup.

847 replays show them stuck on the empty first screen.

Opened PR #68472 to add a guided first-run flow, ready for your review.

Projected +18% setup completion.

Review flow

Up next:

CSV export

requested by 41% of active accounts →

Message

Includes:

Chat it up

Live in Claude all day? Pull Amplitude context into your everyday AI tools with MCP.

What should we build next?

1 in 3 users drop before setup.

847 replays show them stuck on the empty first screen.

Opened PR #68472 to add a guided first-run flow, ready for your review:

Guided flow

Projected +18% setup completion.

Up next:

Flow Report Export.csv

4 KB · requested by 41% of active accounts.

Reply to Claude

Attach

Tools

Voice

Includes:

Get connected

Give your agent product context via MCP or CLI, then build, review, and ship the PR from your editor or terminal.

</>

Using Amplitude, find our biggest activation drop-off and fix it.

▶ amplitude query_amplitude_data 1 in 3 users drop before setup

▶ amplitude get_amp_session_replay_info 847 stuck on the empty first screen

Adding a guided first-run flow. 2 files changed.

▼ src/onboarding/FirstRun.tsx

+142

-18

export function FirstRun() {

– return <EmptyState title=“No projects yet” />

+ const { steps, complete } = useOnboarding()

+ return (

+ <GuidedFirstRun steps={steps} onComplete={complete} />

+ )

...131 more lines

▶ src/onboarding/steps.ts

+34

-6

Commit & open PR

→ PR #68472

Includes:

See more surfaces

View MCP setup docs

You choose your role in the loop

This isn’t the Terminator. You have full control of your self-improving product loop. Set the directions, metrics, and guardrails, then decide how much you want to babysit and how much you let it run. Low-risk changes ship on their own. Anything sensitive waits for your review.

Everything is safe and secure.

We don’t train our agents on your data. Read the FAQ.

Full control

Human in the loop

You review every change before it continues, and nothing ships without your approval. Most teams start here.

Periodic control

Human on the loop

You set the rules, supervise, and step in when you want to. Otherwise, the loop keeps running.

Minimal control

Human out of the loop

You stay out entirely and let it run. Today, that’s mostly low-risk changes and build-your-own setups.

Wave is the future of self-improving products

Here’s the dream. Point Wave at your product and walk away. It finds what’s worth building, from quick fixes to new features, and hands you ready-to-merge PRs. Then it does it again. Before you know it, your tiny team is outshipping entire product orgs.

Wait, so is this real today? Parts of it. We’re building the rest with a small group of teams. Come build it with us.

Become a design partner

We run the loops ourselves, too

We ❤️ self-improving products. Our team has shipped everything from paper cut fixes to bigger product bets.

Agent homepage

+160% card-driven sends

Before

5 days

After

15 minutes

Frequently asked questions

A self-improving product is a product that gets better on its own. Amplitude reads your product data, finds what’s worth fixing or building, opens a PR to make the change, and measures whether it worked. Then it does it again in a loop.

Start building self-improving products

You could have ten great PRs waiting for you by your next standup. Only one way to find out…

Start for free

Build self-improving products

Imagine opening your laptop to a list of ready-to-merge PRs, written by your product.

Amplitude reads your product data, finds what needs fixing (or building), and opens the PRs. You review, merge, and move on. That’s a self-improving product.

Start for free

What’s a self-improving product...?

A self-improving product is one that gets better on its own. Every product runs the same loop: build, ship, measure. But measure is where it stalls. Self-improving products close the loop themselves.

Build

Ship

Measure

LOOP TIME

6 weeks

mostly waiting on humans

Build

Ship

Measure

LOOP TIME

1 day

and getting shorter

Self-Improving

Three ways to run the loop

Give a custom agent a job, and it runs on repeat. Your agent pulls context from Linear, GitHub, and Notion, then opens a PR to fix the issue. Fork one of 20+ agents we’ve already built.

Best for the small jobs that keep coming back: alerting, monitoring, bug fixes.

Browse the library

●

I can see in query_amplitude_data that 1 in 3 users drop before setup. Let me examine the relevant session replays to understand what’s going on.

●

Get(amp_session_replay_info)

└ Reviewed 2,556 session replays (ctrl+r to expand)

●

I can see in amp_session_replay_info that 847 users got stuck on the empty first screen. Let’s create a guided first-run flow to address this issue.

●

Add(guided first-run flow)

└ Writing src/onboarding/FirstRun.tsx (ctrl+r to expand)

export function FirstRun() {

– return <EmptyState title=“No projects yet” />

+ const { steps, complete } = useOnboarding()

+ return (

+ <GuidedFirstRun steps={steps} onComplete={complete} />

+ )

✽

Writing... (27s • 425 tokens • esc to interrupt)

>▮

▶▶ auto-accept edits on (shift+tab to cycle)

Your data feeds the loop

Your product talks constantly. Every drop-off, rage click, error log, and agent interaction says something about what works and what doesn’t. Amplitude hears the whole conversation.

Run the loop from your favorite surfaces

You get a self-improving product! You get a self-improving product! Everyone gets a self-improving product! With Amplitude, you can run the self-improving product loop from anywhere you work.

Your in-product home base. Ask any question, set up your custom agent, and review Wave’s product opportunities.

What should we build next?

Analyzing onboarding, replays, and feedback…

1 in 3 users drop before setup.

847 replays show them stuck on the empty first screen.

Opened PR #68472 to add a guided first-run flow, ready for your review.

Projected +18% setup completion.

Up next...

CSV export, requested by 41% of active accounts.

Review Flow

Open CSV export

Ask a follow up...

Auto

Tag @Amplitude in any channel to ask a question or kick off work without leaving the conversation.

Michael

2:43 PM

@amplitude

What should we build next?

Amplitude

2:44 PM

Analyzing onboarding, replays, and feedback…

1 in 3 users drop before setup.

847 replays show them stuck on the empty first screen.

Opened PR #68472 to add a guided first-run flow, ready for your review.

Projected +18% setup completion.

Review flow

Up next:

CSV export

requested by 41% of active accounts →

Message

Includes:

Chat it up

Live in Claude all day? Pull Amplitude context into your everyday AI tools with MCP.

What should we build next?

1 in 3 users drop before setup.

847 replays show them stuck on the empty first screen.

Opened PR #68472 to add a guided first-run flow, ready for your review:

Guided flow

Projected +18% setup completion.

Up next:

Flow Report Export.csv

4 KB · requested by 41% of active accounts.

Reply to Claude

Attach

Tools

Voice

Includes:

Get connected

Give your agent product context via MCP or CLI, then build, review, and ship the PR from your editor or terminal.

</>

Using Amplitude, find our biggest activation drop-off and fix it.

▶ amplitude query_amplitude_data 1 in 3 users drop before setup

▶ amplitude get_amp_session_replay_info 847 stuck on the empty first screen

Adding a guided first-run flow. 2 files changed.

▼ src/onboarding/FirstRun.tsx

+142

-18

export function FirstRun() {

– return <EmptyState title=“No projects yet” />

+ const { steps, complete } = useOnboarding()

+ return (

+ <GuidedFirstRun steps={steps} onComplete={complete} />

+ )

...131 more lines

▶ src/onboarding/steps.ts

+34

-6

Commit & open PR

→ PR #68472

Includes:

See more surfaces

View MCP setup docs

You choose your role in the loop

Everything is safe and secure.

We don’t train our agents on your data. Read the FAQ.

Full control

Human in the loop

You review every change before it continues, and nothing ships without your approval. Most teams start here.

Periodic control

Human on the loop

You set the rules, supervise, and step in when you want to. Otherwise, the loop keeps running.

Minimal control

Human out of the loop

You stay out entirely and let it run. Today, that’s mostly low-risk changes and build-your-own setups.

Wave is the future of self-improving products

Wait, so is this real today? Parts of it. We’re building the rest with a small group of teams. Come build it with us.

Become a design partner

We run the loops ourselves, too

We ❤️ self-improving products. Our team has shipped everything from paper cut fixes to bigger product bets.

Agent homepage

+160% card-driven sends

Before

5 days

After

15 minutes

Frequently asked questions

Start building self-improving products

You could have ten great PRs waiting for you by your next standup. Only one way to find out…

Start for free