Agent Trust Challenge: Build Grounded AI Agents
About the Hackathon
The Agent Trust Challenge was an in-person hackathon hosted by Rippletide at WeWork Embarcadero in San Francisco. Developers and AI engineers were challenged to build grounded AI agents with explicit evidence and decision traces.
Participants explored how deterministic reasoning, causal decision traces, and policy-as-code enforcement can deliver AI agents that enterprises can actually trust in production.
The Challenge
- Build an AI agent that links decisions to explicit evidence
- Integrate the Hypergraph Decision Database for deterministic decision-making
- Demonstrate full decision traceability and auditability
- Ship a production-ready agent in a single evening
What Was Provided
- Access to the Rippletide SDK and developer documentation
- Hands-on support from the Rippletide engineering team
- Pizza, drinks, and a collaborative atmosphere
- Networking with fellow AI engineers and builders in the Bay Area
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Frequently Asked Questions
What is the Agent Trust Challenge?
The Agent Trust Challenge was a San Francisco hackathon where developers and AI engineers explored grounded agent decisions, explicit evidence, causal traces, and policy-based controls using Rippletide tools.
How did the Rippletide SDK support grounded agent decisions?
The Rippletide SDK gave participants a way to connect agent outputs to structured evidence, policy checks, and causal decision traces during the challenge.
What makes an agent decision grounded?
A grounded agent decision links its outcome to the evidence and rule used to reach it. Missing or contradictory evidence should remain visible so the action can be corrected or escalated.