platform.pavoai.com

The Vision

WHAT IT LEARNS FROMTHE IMPROVEMENT LOOPWHAT MOVEDCodebase2.1M LOCClick logs90 DAYSDocuments18K DOCSExperiments2,048 RUNSTHE SURFACERESULTS PAGEFIND GAPSBENCHMARKSYNONYMSSEMANTICLLM RERANKSHIPSuccess rate68 → 74Zero-results5.1 → 3.2Reformulations22 → 18System knowledgeNO OFFLINE LIFTLATENCY +140MS+.05 NDCG@10EVERY CYCLE WRITES BACKDomain expert“FRESH BEATS RELEVANT FOR NEWS INTENT”THE INPUT NO LOG, DOC OR RUN HOLDS

The continual improvement loop

01 · WHAT DO WE KNOW?System KnowledgeFRAGMENTED EVIDENCEGITHUB REPOWAREHOUSETRACE SPANSSQL QUERIESEXPERIMENTSDASHBOARDSEXPERT NOTESARCHITECTURE“HIGH-INTENT OVERRIDES THE CAP”PROVENANCEPAVOSCANLINKVERIFYSYSTEM BOOKv4 · 84% VERIFIEDARCHITECTURE MAP18 componentsSYSTEM OBJECTIVES4IMPORTANT METRICSresolution · repeat · CSATPOLICIES & CONSTRAINTS7 rulesVERIFIED CLAIMSconf · freshness · lineageRefunds never expireCONTRADICTEDHigh-intent events override the weekly cap0.86

Work with us

Pavo Platform

The platform forcontinual improvement.

Bring your team and the improvement loop into one system. Connect production evidence, rank opportunities by expected lift, validate every change against a real benchmark, and keep full control, visibility, and auditability over what ships.

Pavo Enterprise

The loop, embedded.Run with you by our applied scientists.

Our applied scientists embed with your team to map your systems, define the metrics that matter, and run the loop end to end: the first measured win, then the system that makes every next one faster. You own the decisions and the results.

The library

Research, teardowns, and field notes on making production systems measurably better.

All blogs
TalkCompounding systems intelligenceWhy +1% on a production system is worth millions, and what it takes for an agent to own the improvement loop.Watch the talk
Applied ScienceBetter offline tests lead to more production winsHow randomized evidence and offline replay helped a product team choose stronger ideas before testing them with users.Read more
ResearchSystem Ground Truth: What Agents Must Know About Production SystemsAgents can be right about every file and still be wrong about the system. We define the ground truth production agents need.Read more
SystemsBuilding an Enterprise Sandbox for AI AgentsWe tried to buy the sandbox. We ended up building one. This is the story of why, what we built, and what broke.Read more
SystemsCrash-Proof Custom AgentsShipping long-running agents with retries, stops, and durable state.Read more