Authoritative data first
The sprint story centers on Census sources, MCP tooling, and workflows that keep provenance visible instead of hiding behind broad model fluency.
US Census TOP Sprint
A civic AI sprint built around authoritative data, local context, and reviewable reasoning.
CloudRaven's TOP Sprint lane is designed to improve how AI systems use public data: answers should stay grounded in authoritative Census sources, preserve local context, and remain inspectable enough for a real human team to trust the workflow.
Focus
Authoritative civic AI
Methods
MCP + geospatial research
Public story
Team collaboration and outreach
cloudraven workspace
Sprint direction
The program is about better evidence models, not louder AI claims.
Local context and geospatial reasoning
The product direction emphasizes place-based context, forecasting, and decision-ready research that stays tied to real local evidence.
Public collaboration and review
The sprint is not just a private prototype. It includes public storytelling, collaborator onboarding, and a workflow that can be inspected and improved by a team.
Research workspace
A research console for public-data workflows
The research surface works well for sprint storytelling because it shows queue structure, program context, and evidence flow in one place.
cloudraven workspace
Sprint hub
A clearer sprint workspace for prompts, roles, and next actions
The updated sprint hub screenshot makes the actual operating surface legible instead of relying on a partial or more abstract crop.
cloudraven workspace
Dashboard sketch
A concrete visual story for Trendsights
The dashboard concept helps connect the sprint to an eventual public-facing analytics product with a clear civic value proposition.
cloudraven workspace
Supporting artifacts
The repo already contains the deck, banner, print, and video workflows for this program.
That matters because the sprint story is not just a single page. It already has a strong asset pipeline behind it, including editable deck source, photo candidate sourcing, banner generation, print assets, and narrated video assembly.
Program library
The supporting artifact pipeline is easier to understand as a guided vertical surface.
This captures the actual TOP Sprint library and prompt stack better than the earlier static crop, while still falling back to a stable image treatment on small screens.
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