"LLMs for Ambiguity, Deterministic Agents for Policy: Multi-Agent Contract Compliance"

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Learn how to use LLMs for ambiguity and deterministic agents for policy in multi-agent contract compliance, a crucial aspect of AI development

advanced Published 24 Jun 2026

Action Steps

Build a multi-agent system using LLMs and deterministic agents to handle contract compliance
Use LLMs to extract relevant information from contracts and handle ambiguity
Implement deterministic agents to enforce policy and make decisions based on extracted information
Integrate the LLM and deterministic agent using the open A2A protocol
Test and evaluate the system to ensure auditable and reliable contract compliance

Who Needs to Know This

This micro-lesson is beneficial for AI engineers, data scientists, and software engineers working on multi-agent systems and contract compliance. It helps them understand how to leverage LLMs and deterministic agents to improve contract compliance.

Key Insight

💡 LLMs can handle ambiguity in contract extraction, while deterministic agents can enforce policy and make decisions

Key Takeaways

Learn how to use LLMs for ambiguity and deterministic agents for policy in multi-agent contract compliance, a crucial aspect of AI development

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Title: "LLMs for Ambiguity, Deterministic Agents for Policy: Multi-Agent Contract Compliance"

URL Source: https://dev.to/vsbd_vlad/llms-for-ambiguity-deterministic-agents-for-policy-multi-agent-contract-compliance-12fe

Published Time: 2026-06-24T13:10:43Z

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[Vladyslav Donchenko](https://dev.to/vsbd_vlad)
Posted on Jun 24 • Originally published at [vsebude.it](https://www.vsebude.it/blog/multi-agent-contract-compliance-adk-a2a)

# "LLMs for Ambiguity, Deterministic Agents for Policy: Multi-Agent Contract Compliance"

[#ai](https://dev.to/t/ai)[#go](https://dev.to/t/go)[#python](https://dev.to/t/python)[#agents](https://dev.to/t/agents)

There's a quietly important reference architecture i

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"LLMs for Ambiguity, Deterministic Agents for Policy: Multi-Agent Contract Compliance"

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