Resources / Blog Post

3 early Fullstory MCP customers on querying data directly, catching issues before customers report them, and auto-generating bug tests.

Shipping a fix for the wrong root cause charges a compounding tax on engineering resources and customer trust.

Every vendor says yes to your feature checklist. Two Fullstory solutions engineers on the architecture questions that actually separate them.

Zero rage clicks, zero friction, and agents still copy-paste 50 times per case. Why clean tool metrics hide the real cost of how work gets done.

AI agents rarely fail from too many tools. Missing context is the real cost driver, sending agents into token-burning loops instead of fast answers.

How Pizza Hut moved from manual A/B testing to AI-built product affinities—using Fullstory behavioral data to see the "why" behind every experiment.

Raw event exports push transformation work onto your team. Analytics-ready means modeled tables your analysts and AI agents can query directly.

Fullstory for Customer Agents streams real-time session context into your support stack, so agents know what happened before replying.

Suspicious Activity signals are now generally available in Fullsory. Tell humans, AI agents, and bots apart, and catch bot activity in real time.