Information from the Encode hackathon
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"It looks impossible - but it's a hackathon. Cheers!"
This is the story of OCapistaine, a civic transparency AI built during the Encode "Commit to Change" Hackathon. It's a story of blocked pipelines, strategic pivots, 4,000 municipal PDFs, and the belief that AI can help citizens understand their local democracy.
Spoiler: We shipped it. Barely.
Today we completed a major architectural milestone: modular prompt management for Forseti461. Each feature now has its own versioned prompt in Opik, enabling independent optimization and A/B testing.
From a single monolithic prompt to a clean separation of concerns — each Forseti feature can now evolve independently while sharing a common persona.
Forseti461 is an AI agent that automatically moderates citizen contributions to participatory democracy platforms — approving only concrete, constructive, locally relevant ideas while rejecting personal attacks, spam, off-topic posts, or misinformation, and always explaining decisions with respectful, actionable feedback.
This weekend, Facebook reminded us that democracy is fragile. Toxic comments, personal attacks, and off-topic rants flooded discussions about local issues. The signal gets lost in the noise. Citizens disengage. Constructive voices give up.
What if we could protect civic discourse at scale?
Goal: Create a systematic approach to test and improve our AI-powered charter validation system.
For the Encode Hackathon first submission, we focused on building the infrastructure to ensure Forseti 461 (our charter validation agent) catches all violations reliably. The key insight: you can't improve what you can't measure.
Context: Audierne 2026 Election Platform
This document outlines how we will leverage the Google Gemini ecosystem (AI Studio, Flash models, and Agentic workflows) to accelerate the development of the Locki project. By utilizing these tools, we aim to bridge the gap between human ideation and automated N8N workflows, specifically for the Commit to Change hackathon and the subsequent election period.
Project: Locki / Ò Capistaine (audierne2026) - AI-powered civic transparency & participatory democracy platform for Audierne 2026 local elections (France) Core Mission: Build a neutral, source-based RAG chatbot to answer citizen questions about 4 municipal programs, automate contribution validation against charter rules, crawl/process municipal data (150+ links, 4,000+ PDFs), and showcase Opik integration for the "Commit to Change" Hackathon. Critical Timeline:
AI-Powered Civic Transparency for Local Democracy
This year, I will finally understand my local elections and get involved as a citizen.
Sound familiar? Every election cycle, millions of citizens want to participate but face the same wall: scattered documents, administrative jargon, and no time to dig through years of municipal decisions.
This January, I stopped just wishing — and started building.
This training consolidates the operational and technical foundations needed to run and execute agent/prompt optimization in team settings (e.g., hackathons and internal workshops).
It includes :
This lecture, led by Abby Morgan, an AI Research Engineer, introduces AI evaluation as a systematic feedback loop for transitioning prototypes to production-ready systems. It outlines the four key components of a useful evaluation: a target capability, a test set, a scoring method, and decision rules. The session differentiates between general benchmarks and specific product evaluations, emphasizing the need for observability in agent evaluation. It demonstrates using OPIK, an open-source tool, to track, debug, and evaluate LLM agents through features like traces, spans, 'LM as a judge', and regression testing datasets.