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AI agent uses Qwen or Kimi for on-chain cost-saving decisions · 2 sources tracked

By PulseAugur Editorial · [2 sources] ·

The REGLO Agent, an AI system designed for the Monad Metropolis hackathon, utilizes large language models to make on-chain decisions regarding compute job scheduling. The agent evaluates solar curtailment and tariff data to select the optimal time for deferring compute tasks, with its reasoning process powered by either Qwen (from Alibaba Cloud) or Kimi (from Moonshot AI). Both models provide a plain-language rationale for their choices, which serves as a human-readable explanation and an honesty check, ensuring the selected window aligns with cost-saving objectives without directly handling financial transaction data. AI

IMPACT Demonstrates LLM interpretability and safety mechanisms for real-world, automated decision-making in decentralized systems.

RANK_REASON The cluster describes an application of LLMs (Qwen, Kimi) within a specific AI agent for a hackathon project, rather than a direct release of a new frontier model or significant industry-wide development.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

AI agent uses Qwen or Kimi for on-chain cost-saving decisions · 2 sources tracked

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14 / 100
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The cluster describes an application of LLMs (Qwen, Kimi) within a specific AI agent for a hackathon project, rather than a direct release of a new frontier model or significant industry-wide devel…
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2 independent sources
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product, model release
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High
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Breaking (< 6h)
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COVERAGE [2]

  1. dev.to — LLM tag TIER_1 English(EN) · Edmund DSouza ·

    How Qwen Powers REGLO Agent’s On-Chain Decisions

    <p>REGLO Agent is an AI agent built for the Monad Metropolis hackathon that gets paid automatically in MON when it proves — on-chain — that it saved money by scheduling compute around real solar-curtailment windows. The reasoning step — deciding which window to act on, out of doz…

  2. dev.to — LLM tag TIER_1 English(EN) · Edmund DSouza ·

    How Kimi Powers REGLO Agent’s On-Chain Decisions

    <p>REGLO Agent is an AI agent built for the Monad Metropolis hackathon that gets paid automatically in MON when it proves — on-chain — that it saved money by scheduling compute around real solar-curtailment windows. The piece of it I want to talk about here is the reasoning step:…

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