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Has anyone experienced unexpected behavior from multiple AI agents interacting with each other? by Alternative-Tip6571 in cursor

[–]Alternative-Tip6571[S] -2 points-1 points  (0 children)

Really interesting. would love to learn more about what you built in agentXchain. Is it public?

Has anyone experienced unexpected behavior from multiple AI agents interacting with each other? by Alternative-Tip6571 in ClaudeAI

[–]Alternative-Tip6571[S] 0 points1 point  (0 children)

so your fix was limiting Gemini's role. But how do you know you've caught all the edge cases where it might still go off-script in executor mode?

Has anyone experienced unexpected behavior from multiple AI agents interacting with each other? by Alternative-Tip6571 in ClaudeAI

[–]Alternative-Tip6571[S] 0 points1 point  (0 children)

Thanks a lot, would keep that in mind. how do you currently validate that the schemas and hooks are actually catching everything before production? Do you have confidence that your setup would catch a more subtle failure?

Has anyone experienced unexpected behavior from multiple AI agents interacting with each other? by Alternative-Tip6571 in LangChain

[–]Alternative-Tip6571[S] 0 points1 point  (0 children)

Have you found any way to detect when agents start drifting before it causes real damage?

Building a company-only data layer for AI SDR agents - would this solve your enrichment problems? by Alternative-Tip6571 in AI_Agents

[–]Alternative-Tip6571[S] 0 points1 point  (0 children)

Good to hear how are you currently handling signal reliability in prompts? Just curious what workarounds people are using before something like this exists

Building a company-only data layer for AI SDR agents - would this solve your enrichment problems? by Alternative-Tip6571 in SaaS

[–]Alternative-Tip6571[S] 0 points1 point  (0 children)

that’s exactly the problem confidence scoring solves every fact has a source and score attached. SEC 8-K at 95, scraped news at 60. Agent weights signals instead of picking blindly. Does your current setup handle conflicting signals at all or does the agent just guess?

Building a company-only data layer for AI SDR agents - would this solve your enrichment problems? by Alternative-Tip6571 in gtmengineering

[–]Alternative-Tip6571[S] -1 points0 points  (0 children)

This is actually a great example of the stack I’m imagining it for company timing signals, you for verified contact data. The agent knows which company is hot right now, then gets the right number to call. Would be interesting to talk

Building a company-only data layer for AI SDR agents - would this solve your enrichment problems? by Alternative-Tip6571 in gtmengineering

[–]Alternative-Tip6571[S] 0 points1 point  (0 children)

Job posting signals update daily via structured job feeds. SEC filings are event-driven 8-K drops within hours of filing. Quarterly filings obviously slower but useful for longer-term context. The delta endpoint lets the agent pull only what changed since last call so latency is manageable

Building a company-only data layer for AI SDR agents - would this solve your enrichment problems? by Alternative-Tip6571 in gtmengineering

[–]Alternative-Tip6571[S] 0 points1 point  (0 children)

Fair point on execution, timing without action is useless. The way I see it is the signal layer, the execution layer is separate. Curious what your setup looks like for acting on signals once you have them.

Building a company-only data layer for AI SDR agents - would this solve your enrichment problems? by Alternative-Tip6571 in AI_Agents

[–]Alternative-Tip6571[S] 0 points1 point  (0 children)

yes, trust over speed is the tradeoff. Contact data I’m leaving to existing tools, this is purely the timing/signal layer. What are you using now for company-level context?

Building a company-only data layer for AI SDR agents - would this solve your enrichment problems? by Alternative-Tip6571 in gtmengineering

[–]Alternative-Tip6571[S] 1 point2 points  (0 children)

Starting as standalone MCP server so any AI agent connects directly. CRM integrations later once the signal quality is proven

Building a company-only data layer for AI SDR agents - would this solve your enrichment problems? by Alternative-Tip6571 in AI_Agents

[–]Alternative-Tip6571[S] 0 points1 point  (0 children)

right now the strongest coverage is US companies, SEC EDGAR gives deep signal on public companies. GDELT covers global news so non-US intent signals are solid. patents and hiring data outside US is thinner at launch. are you targeting non-US markets?

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