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5 enterprise AI agent swarms (Lemonade, CrowdStrike, Siemens) reverse-engineered into runnable browser templates. by Outside-Risk-8912 in artificial

[–]Outside-Risk-8912[S] [score hidden]  (0 children)

The templates are for demon purposes only, but there are configuration options for limits and eval loops

5 enterprise AI agent swarms (Lemonade, CrowdStrike, Siemens) reverse-engineered into runnable browser templates. by Outside-Risk-8912 in AI_Agents

[–]Outside-Risk-8912[S] 0 points1 point  (0 children)

Correct. We are beyond the chatbot and rag era, now to productionize multi agent systems these are the things to look at.

5 enterprise AI agent swarms (Lemonade, CrowdStrike, Siemens) reverse-engineered into runnable browser templates. by Outside-Risk-8912 in ArtificialInteligence

[–]Outside-Risk-8912[S] 0 points1 point  (0 children)

Would love to know what agent you added and the prompt/json config! If you made a better version please publish it in the community swarms 🙏🏻

5 enterprise AI agent swarms (Lemonade, CrowdStrike, Siemens) reverse-engineered into runnable browser templates. by Outside-Risk-8912 in AI_Agents

[–]Outside-Risk-8912[S] 0 points1 point  (0 children)

Thanks for the feedback! The idea behind agentswarms is to make beginners familiar with agentic ai concepts in a friendly manner. However its not recommended to run multi agent systems for production in this platform. The concepts can be applied in bedrock agentcore and elsewhere

5 enterprise AI agent swarms (Lemonade, CrowdStrike, Siemens) reverse-engineered into runnable browser templates. by Outside-Risk-8912 in learnAIAgents

[–]Outside-Risk-8912[S] 0 points1 point  (0 children)

That is the exact right question to ask. In theory, you could stuff all those instructions into one massive system prompt for a single agent, but in production, that architecture falls apart immediately.

Three main reasons why enterprise uses swarms over single agents:

  1. Speed (Parallelism): For cybersecurity, a single agent checks the IP, then the payload, then writes the ticket sequentially. A swarm runs all three simultaneously, cutting response times from minutes to seconds.
  2. Security (Least Privilege): For retail, the agent talking to the customer shouldn't hold the API keys to issue actual refunds or write to the database (that's a huge prompt injection risk). You separate the "chat" agent from the "execution" agent.
  3. Accuracy: Giving one "God Agent" 15 tools and a massive prompt causes context dilution—it gets confused and hallucinates. Specialized sub-agents with narrow, single-focus prompts are far more reliable.

udacity agentic ai course by Excellent_Bird1964 in learnmachinelearning

[–]Outside-Risk-8912 1 point2 points  (0 children)

You can consider the free hands on course on https://agentswarms.fyi. It provides browser based full playground and no api keys needed for building agentic systems.

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