Today we're releasing the first instance of self improving products with a customer: @PixAI_Official Wave found that publishing artwork on PixAI's AI-image generation product was correlated with retention, but most new users never discovered the publish button. Wave suggested prompting users to publish immediately after generating an image. Now, when a user runs out of image generation credits, a tooltip points them to the Missions tab, where they can publish. Results: - Mission opens increased 76% - Publish rate increased 10% - Day 1 retention increased 3% We're opening Wave to more teams who want to spend time with it. Let me know if you want to try it for your product!

We put GPT-6 Sol, GPT-6 Luna, and Claude Opus 5.5 through our Amplitude Global Chat eval and mapped the outcomes on our quality/cost frontier. Our eval is 185 analytics tasks from simple to complex: building a chart, editing one, choosing the right event in a taxonomy, getting the correct date range, finding the property that most explains the variance in a chart. These evals are all based on real customer queries. We grade answers on correctness only. We measure cost and latency separately. Here’s where each new model landed (one run each so±2%): -Claude Opus 5.5: 83% correct at $0.70 per question. That's about 2 points behind our top score (GPT-6 Astra) at roughly a sixth of the cost. -GPT-6 Sol: 81% at $0.58. It scored a little lower than GPT-5.6 Sol, but was considerably cheaper (less than half the price). This is the cheapest model we've tested that clears 80%. -GPT-6 Luna: 76% at under $0.04, making it the cheapest model on the frontier. It's about 3x cheaper than GPT-5.6 Luna and achieves about the same score. The tradeoff is speed: its p95 latency was ~400 seconds, about 3x slower than Opus 5.5. Even with the inclusion of these new releases, GPT-6 Astra still gets the top score (84%) on our eval. The tradeoff is it costs $4 per question and was one of the slowest models we tested (900 seconds at p95).

Introducing Headless Amplitude. Say bye bye to the user interface. Agents are now first class users of Amplitude. - All core areas of Amplitude are now accessible via MCP server and we've optimized the interface for minimal token consumption - Developer CLI to manage events, experiments, flags, and projects so you can make changes in Amplitude deterministically - Service accounts so bots and scripts can query Amplitude on their own accounts In August alone, 6.3M MCP tool calls ran through Amplitude, 5x what we saw in March. Querying product data is now our fastest growing agent use case. You shouldn't have to log into the 100th SaaS dashboard to understand what your users are doing. Amplitude can show up in Codex, Claude, Cursor, or whatever agent your team is already using. We’re building toward that future with MCP, developer CLI, service accounts, and agent readable experiences. Use Amplitude without using the UI.

Quit logging into Amplitude with ChatGPT Data agent. I'm excited for @Amplitude_HQ to be a featured ChatGPT Work plugin and a top source for its new Data agent launch today. This is a whole new way to use Amplitude data to understand what your users are doing and decide what to build next. Now anyone can do that without leaving their chat. Too many SaaS companies are trying to get you to visit their walled garden. We are all in on the headless future here at Amplitude. There's no more need to login to the 100th SaaS dashboard!

We've been using Grok Bot @bot for a few weeks now at Amplitude. They've nailed the interaction paradigm by having long running agents in a message interface where each agent can spin up it's own instanced VM to do stuff. I've been using it for scheduling, email prioritization, pulling all the context for a customer and other meetings, and even keeping @anneleeskates updated on the personal front. The @bot team gave me 30 Ultra codes. Reply with what you'd build with it and they'll share a code with the best answers. Each is good for a month of Ultra or $200 of on-demand.

We are releasing the world's first case study of self improving products at Amplitude. A lot of companies have talked about it but none have shown any examples. We have the holy grail of this space and can show it! We've been running our self improving product engine, Wave, on top of Amplitude for the last few months. It's made lots of changes to our website and product based on analytics, session replay, and many other data sources. These have resulted in MASSIVE improvements in metrics on the order of 50% to 3x, not incremental ones. These include: - Personalized suggestion cards on a homepage led to a +160% increase in usage - Improved doc search accuracy from 92% to 97% by setting a 3 character minimum - Reducing setup checklist from five next steps to one guided first step, projected to improve onboarding completion from ~6% to ~9%. - Adding a CTA to each blog post leading to 45 extra signups a week We're slowly rolling Wave out to a few customers and will be sharing examples from them soon. Check it out here and sign up if you're interested in entering the closed beta:

Hanging out with @poteto @n2parko @clairevo and the @bot team to get Amplitude setup on Grok Bot today. We're pretty permissive on AI tooling, but even so Grok Bot automatically takes action so getting the security right is the biggest blocker. Spent the first 20 minutes making sure we don't shoot ourselves in the foot. It always feels like you're drowning as an executive and you don't have time to spend messing around with your tooling setup. I think they've gotten the interface right as you're able to take action right away.