Andrew Casey

[Andrew Casey @ACasey8801]

Every company in every market segment will be investing in agents to improve customer interactions and drive operational efficiencies. Amplitude is now shipping a product that provides customers with the feedback and actions to achieve their ROI objectives.

[Spenser Skates @spenserskates]

Today we're launching Agent Analytics

Every team shipping an AI agent has the same blind spot. Offline evals pass, you ship, and then you have no idea what's happening in production. AI fails silently. Users ask a question and get different answers. They all look 'engaged' in a classic dashboard. You don't know who got a great response and who got a terrible one.

Agent Analytics solves it:
- Every session scored out of the box on task completion, response quality, friction, safety, and negative feedback
- Topic clustering across thousands of conversations, so you know if a failure hits 1 user or 10,000
- Eval agents that watch for regressions, and if you want will file a Linear ticket or the pull request themselves
- Agent quality sits next to product data, so 'payment scheduling fails 31%' becomes 'which renewals did that cost us?'

The Economist got their agent to a 96.9% task success rate and cut weekly failures 84%.

Included on every plan. Free tier included. https://t.co/K5vqrlMLvd

[Spenser Skates @spenserskates]

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:

[Andrew Casey @ACasey8801]

From a vision of the future 10 years ago to a product that all software needs to close the PDLC loop

[Spenser Skates @spenserskates]

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: https://t.co/ulbrPjgHed

[Amplitude @Amplitude_HQ]

Your codebase already knows what to track. The Amplitude Wizard CLI reads it and builds your tracking plan from there.

npx @amplitude/wizard

https://t.co/O0PcprpTD1

[Andrew Casey @ACasey8801]

@spenserskates Don't worry; we're already at 8 and going lower

[Spenser Skates @spenserskates]

https://t.co/gJgrpZwuqG

[Spenser Skates @spenserskates]

@ericvishria @ACasey8801 where we at on this??

[Andrew Casey @ACasey8801]

@spenserskates @ericvishria Whew! 😅 ... been using Claude for excel in our M&A synergy, forecasting and modeling Amplitude performance.

[Spenser Skates @spenserskates]

https://t.co/cFAPMnWi1y

[Andrew Casey @ACasey8801]

@spenserskates This is a major milestone in our AI journey ... delivering increasing value for to our customers

[Spenser Skates @spenserskates]

Al has collapsed the time it takes to ship a feature. Now it's all about shipping the right thing. It's just as hard as it ever was.

As coding gets automated, agentic analytics becomes the bottleneck. Teams that win will build within context rich environments that capture user behavior and customer feedback, making that data accessible to both builders and agents.

Today @Amplitude_HQ is launching our Al Analytics Platform with Agents and MCP. Autonomous analytics that helps builders and coding agents ship products that their customers actually want.

Just as our partner @claudeai has reinvented software, Amplitude is reinventing analytics for the Al age.

We have achieved 76% accuracy for complex production grade queries and agentic usage has grown 10x in 3 months.

Don't just build fast, build what's right.

Try it for free, today.

[Spenser Skates @spenserskates]

Traditional UIs are dead. Nobody is going to login to the 100th SaaS dashboard.

Instead, UIs will dynamically enter your workflow.

Anthropic is the first AI company to launch an app layer into chat. You can now use applications directly in Claude through the new MCP Apps.

@Amplitude_HQ is one of @AnthropicAI's launch partners.

You can bring Amplitude charts into @claudeai, explore product data, and iterate on insights. You never need to login to another dashboard to access analytics again.

[Spenser Skates @spenserskates]

Introducing the holy grail of AI Analytics: Automated Insights

We've built an AI that works like an expert analyst. It proactively queries your data to figure out what's causing a change. See it in action:

[Andrew Casey @ACasey8801]

@yanabana @spenserskates @Kraftful @Amplitude_HQ Great teamwork produces great results; congratulations on the launch

[Yana Welinder @yanabana]

Don’t talk to users?

ngmi

Today’s launch of AI Feedback is personal.
It’s the culmination of my @Kraftful journey.
We built Kraftful to help teams truly listen to users.

Now we’re taking that mission even further at @Amplitude_HQ with AI Feedback.

AI can automate almost everything.
But it can’t replace how people *feel* when using your product.

For builders, listening to those emotions is how you create something exceptional.

Now you can do that right inside Amplitude.
Across surveys, support tickets, sales calls, app reviews, Reddit, Discord, X, G2, and more.

Connect your sources in minutes and start getting daily insights that used to take hundreds of thousands of hours to analyze manually.

Available on every Amplitude plan (even the free one!).

Go try it. Listen to your users. Build better.

[Spenser Skates @spenserskates]

We just made Amplitude's first free product.

Introducing AI Visibility: SEO for LLMs.

Customers are using search engines less and AI more for finding what companies they should work with.

AI Visibility queries @ChatGPTapp, @claudeai, and @GeminiApp, and scores how your company appears across hundreds of prompts. It shows competitor rankings, sentiment, and trends. It gives you recommendations on how you can improve your company's visibility. Ranking highly with LLMs is the biggest untapped opportunity in marketing.

@_leojiang shares more:

[Amplitude @Amplitude_HQ]

Comparison is the thief of joy… or is it? 🤔

Use Amplitude AI Visibility to see how you compare to your competitors in AI search, top cited sources, and more: https://t.co/pphrDXLGev

[Spenser Skates @spenserskates]

Today we're launching Amplitude MCP

MCP was made for data analytics. Ask a vague question and have an AI model iteratively query Amplitude to find you insights.

Amplitude MCP exposes all of Amplitude's functionality so an agent can interact with it directly. It allows you to use Amplitude without having to know anything about Amplitude's user interface or your data taxonomy.

It uses the intelligence of off the shelf AI agents, including Claude, Gemini, and Cursor, to query Amplitude data you already have to find answers. It leverages all of your existing Amplitude data and how it's used to navigate through large complex behavioral datasets. You can have conversations about your product data directly inside any AI model with MCP. It can create Amplitude dashboards and notebooks with what it finds and even make recommendations.

This is the best MCP use case I've ever seen. Watching an AI agent think, reason, query Amplitude, and then repeat that process iteratively is magical.

See it in action:

[Andrew Casey @ACasey8801]

@spenserskates Lead the way my friend. We're building our business with the focus of delivering extreme value for our customers.