Case studies | Levanto
Autonomous agents 7 min read
Normies uses Sage to drive autonomous agents in a persistent multiplayer world
Arena uses character context, persistent strategies, and structured decisions to let AI agents act independently in a shared survival game.
Agentic pipelines 5 min read
Quirq’s team cuts coding-agent evaluation costs by 51% with Sage
Quirq’s XO platform used Sage to select models, then retried unfinished work on a stronger model. Across 90 tasks, it reached similar final completion for $34.04 instead of $69.57.
51% Lower evaluation cost
Gaming
SageCraft: Sage plays World of Warcraft from screenshots
An open-source harness gave a dwarf priest a decision model. 4,573 decisions later it hit level five, at under three cents per kill.
$3.32 Sage cost, level 1 to 5
Finance 4 min read
PerpFlow cuts its agentic research workflow from 14 days to 12 hours with Sage
Claude Code delegates thousands of market classifications to Sage, keeping bulk results in files while Python tests the findings against predefined criteria.
28× Faster research workflow Customer-reported workflow timing and research results
Education 3 min read
Leap turns study requests into learning tools with Sage
Leap routes requests for flashcards, quizzes, and other study activities from chat into native tools, with 89.9% accuracy in its reported evaluation.
89.9% Tool selection accuracy Leap benchmark · 327 held-out cases, each run three times
Gaming 3 min read
GrowBlocks turns monster descriptions into gameplay with Sage
Two authoring passes. 40 monster types. GrowBlocks brings natural-language personalities into combat decisions and adaptive dungeon encounters.
40 Monster types Inside Rogblox · reported by the project team
Finance 2 min read
Capacitr uses Sage to save money on market analysis
Six structured decisions help Capacitr filter market noise, focus research, and check its trading agent before expensive work begins.
~44% Lower pipeline LLM spend Projected monthly impact
Build with Sage