Today we’re introducing Wave. A proactive product agent that helps teams build self-improving products.

Every product team runs the same loop. Build, ship, use, learn. AI has made building and shipping extraordinarily fast. Understanding usage and learning still happen by hand.

Wave runs the whole loop:

• Analyzes your Amplitude data for signals across analytics, feedback, session replays, error logs, agent traces, and experiment results
• Surfaces opportunities in the form of full product specs that you or your agents can approve and ship
• Tracks the experiments and outcomes of what you’ve built so you can start the loop over again

Your product learns what works and gets smarter every cycle: http://amplitude.com/wave

Amplitude Wave: Enabling self-improving products

Source: https://amplitude.com/wave Amplitude Wave · Closed Beta

Enabling self-improving products

Wave analyzes your data and code, surfaces what to build, orchestrates the plans, PRs, experiments, then measures the impact.

Request access

Amplitude Wave · Closed Beta

Wave analyzes your data and code, surfaces what to build, orchestrates the plans, PRs, experiments, then measures the impact.

Request access

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The new bottleneck:knowing what to build

Quality comes from iteration, and the winner is whoever iterates fastest. The military strategistJohn BoydJohn Boyd · 1927–1997USAF fighter pilot and Pentagon consultant. His theories on decision cycles shaped military, business, and legal strategy worldwide.— via Wikipedia ↗showed it in combat: the pilot who cycles theirOODA loopObserve, Orient, Decide, ActDecision-making as an iterative cycle. Influential across litigation, business, law enforcement, military strategy, and cybersecurity.— via Wikipedia ↗fastest wins the dogfight.

Software is no different. Whether you’re a team of 1,000 or a solo developer, the loop is the same: build, ship, use, learn. The best products come from the builders who run it fastest and with the most care.

Coding agents are collapsing the cost ofbuildto zero. Butuseandlearnstill crawl by hand. Someone manually combs the data for signals, decides what’s worth building, proves if what shipped worked, and reflects on the process.

Deciding and specifying what the “right” thing to ship has never mattered more.

Your next best move is already in your data

Every click, session replay, customer feedback, log, and agent trace is a signal about what’s working and what’s not — and your next best idea is buried in them.

A self-improving product continuously analyzes every signal, corroborates evidence across sources, and turns that context intoOpportunitiesto improve and grow.

Then it tracks whether the ship actually moved the metric and remembers the result, so every cycle is sharper than the last.

A self-improving product runs the whole loop on its own

It reads the signals across your product, decides what’s worth building, and orchestrates the people and agents who ship it. Then it measures what worked (monitoring outcomes, running experiments) and feeds the learning into the next cycle.

Your product doesn’t just grow. Itcompounds. Every loop is sharper than the last.

Wave knows what to build

A proactive product agent that helps teams build self-improving products.

It continuously analyzes your Amplitude data forSignals, surfacesOpportunitiesyou or your agents can approve and ship, and tracks the experiments andOutcomes, so your product learns what works and gets smarter every cycle.

We use Wave at Amplitude

For months, Wave has run on Amplitude itself: auto-triaging bugs, optimizing our landing pages and product flows, and sharpening our own agents by analyzing their traces.

Build products that improve themselves

Wave is rolling out to design partners. You can be one of them.

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Wave is rolling out to customers in the second half of 2026.

We’ll reach out toyour inboxas soon as your spot opens up.