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Latest posts
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Find Your Holiday Checkout Friction Before Peak Traffic Does
Find holiday checkout friction with funnel analysis and Session Replay. Test improvements that help more shoppers complete purchases before peak season.
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Amplitude + GitHub Agents: Closing the Product Learning Loop
How teams are building the right thing at AI speed with GitHub Copilot, Amplitude Wave, and Statsig
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Lessons from consolidating our MCP server
Learn how Amplitude redesigned its MCP server to reduce context bloat, consolidate tools, and help AI agents complete tasks in fewer calls.
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What AI engineers do in the age of agentic code
AI agents write most of the code behind modern products. How can AI engineers evolve their day-to-day work to improve product trust?
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An analysis of Jev: Faster and cheaper, but watch the accuracy
Decision models show a lot of promise. We reviewed benchmark tests and ran our own to better understand their strengths, shortcomings, and how to improve their accuracy.
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Your agent isn’t broken. It’s guessing.
When an AI agent gets a query wrong, it’s rarely a model bug. It’s a context gap. Setting up AI Context closes it for good.
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Bring headless Amplitude where you work
Between tool consolidation for large reductions in token counts, a new developer CLI, and Service Accounts, using Amplitude in headless mode is easier than ever.
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Should I install the Amplitude SDK?
Deciding whether the Amplitude SDK is right for you? Compare SDK to warehouse ingestion, see what each one captures, and learn when a hybrid setup fits best.
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Amplitude climbs to #3 in G2 Digital Analytics Momentum
See how Amplitude climbed to #3 in Digital Analytics momentum in G2's Fall 2026 reports, and what real customers say drove their switch to Amplitude.
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I was the bottleneck
Amplitude's marketing ops team automated request triage using Asana AI Teammates and Claude, cutting a three-person workflow to a single QA review.
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Your agents are only as good as your data context
Humans can recognize when something doesn’t smell right. AI can’t without context. Good data context is the answer.
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The New Trust Economy in Financial Services
Trust used to be a one-way decision: banks judged consumers, and consumers had little say. That direction has flipped, and most institutions haven't noticed.
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How to Secure AI Agent Traces Without Losing the Signal
Role-based access and privacy redaction are on by default. Take advantage of enterprise-grade controls when sending traces to Amplitude Agent Analytics.
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Connecting agent performance to product outcomes
Observe what users ask your AI agent, evaluate where it fails and what those failures cost your business. Agent Analytics is now available to all customers.
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The hidden cost of a bad AI answer
See how CashBook replaced hand-read transcripts with a measurable AI failure rate, and why one bad first answer cost 15 points of retention in four weeks.
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Verification loops in software factories: What PMs need to know
Learn what verification loops check inside a software factory, why they can’t tell you if a change moved your metric, and the post-ship loop PMs need to own.
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Your AI chat box isn't a strategy. Where you put it is.
How does Amplitude understand what users want from an AI chat box? Here are the biggest takeaways from our early tests.
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The Neobank Squeeze: Why Classic Banks Need to Learn to Move at Challenger Speed
Three signals in one year show the threat to Australia's classic banks has stopped being theoretical.
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From context to intelligence: Building self-improving products in banking and insurance
Why the next generation of financial products will learn from every customer they serve
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Practical Guide to Evaluating Open Models: Achieving Sonnet-level performance with Kimi
Inside Amplitude's open-weight model tests: how we modified Kimi K2.7 to match Sonnet on latency and quality.