Amplitude(AMPL)

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.

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.

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.

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.

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.

Amplitude's marketing ops team automated request triage using Asana AI Teammates and Claude, cutting a three-person workflow to a single QA review.

Humans can recognize when something doesn’t smell right. AI can’t without context. Good data context is the answer.

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.

Role-based access and privacy redaction are on by default. Take advantage of enterprise-grade controls when sending traces to Amplitude Agent Analytics.

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.

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.