I Built a Tiny AI Agent just for fun I’d been reading about Aura Agents, seeing demos with large datasets, embeddings, multiple tools, and complex flows. They looked powerful, but I kept wondering …

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A developer built a minimal AI agent using Neo4j Aura Agents to answer a single question: whether a startup idea is crowded or has unmet opportunities. The graph had just six nodes and three relationship types. Key decisions included skipping embeddings in favor of explicit graph traversal, removing Text2Cypher to prevent hallucination, and using two deterministic Cypher-based tools with strict parameter binding. The result was a fully traceable reasoning system where every output maps directly to graph relationships, demonstrating that for closed domains with fixed schemas, explicit traversal can replace probabilistic reasoning.

I Built a Tiny AI Agent just for fun

Step 4: Turning Cypher into an Aura Agent (where things broke)

Step 5: Forcing the agent to reason, not hallucinate

<p>Love the simplicity here. Skipping embeddings and leaning on explicit graph traversal is a smart call for this kind of structured problem — embeddings add noise when your schema is well-defined.</p>
<p>The six-node design is a great reminder that agents don’t need to be complex to be useful. Minimal state + clear traversal logic often outperforms bloated pipelines. Would love to see a follow-up on how you handle ambiguous queries at the graph edges.</p>
