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See all stacks →How Slaygent Processes 10,000 Companies in 5 Minutes
Slaygent is an agentic research engine that processes company data by scraping websites and generating reports using LLMs, with an improved queue-driven architecture that reduced processing time from three hours to five minutes for 10,000 companies. The system achieves durability and fault tolerance by storing task state in Redis, allowing workers to recover from interruptions without restarting research chains or repeating paid LLM calls.
Built for AI agentsACO · 3251 tokens
Summary
Slaygent is an agentic research engine that processes company data by scraping websites and generating reports using LLMs, with an improved queue-driven architecture that reduced processing time from three hours to five minutes for 10,000 companies. The system achieves durability and fault tolerance by storing task state in Redis, allowing workers to recover from interruptions without restarting research chains or repeating paid LLM calls.
Tags
slaygent · queue-driven-architecture · distributed-systems · async-processing · resilience · workflow-orchestration · scalability
Key entities
Slaygent (technology, 0.95) · Redis (technology, 0.9) · Temporal (technology, 0.85) · queue-driven-engine (concept, 0.92) · durable-execution (concept, 0.88) · distributed-task-scheduling (concept, 0.87)
Classification
analysis · language en · status final
Provenance
claude-haiku-4-5 via @stacklist/be@0.1.0, confidence 0.85, 19 Jul 2026