PUBLIC DATA. DAILY SNAPSHOTS.
See the world in the data.
Senior Program Manager for enterprise transformation and platform delivery.
02 THE ENERGY EXPLORER CAISO
California after sunset.
For operations reviews: see how reported supply shifts through the evening.
Comparing the afternoon and evening generation mix…
CAISO balancing authority · Five-minute readings in daily snapshots.
Move across the chart to explore. Press play to watch the afternoon unfold.
Sources, definitions & coverage
My role, Codex’s role & what we checked
My role
I selected this example and asked for an immediate explanation using real readings.
Built with Codex
Codex implemented the CAISO fetcher, signed supply chart and time replay.
Verification
Checks cover full-day completeness and signed totals. Negative charging and export readings remain visible; observation dates and retrieval times are distinct.
Related enterprise work: analytics priorities ↗Personal demonstration; enterprise results are described in the linked case.
01 THE WORK EXPLORER EMPLOYER FEEDS
Where AI meets work.
For workforce and program leads: compare AI language across business functions.
Comparing the functions in this snapshot…
Selected employers · Published hiring language, not verified AI adoption.
Explore all business functions
Follow a function
Counts follow your company, AI-mention and search filters across all functions. An AI mention does not establish that AI is central to the role.
Matching roles
SOURCE-LINKED EVIDENCESources, matching method & coverage
My role, Codex’s role & what we checked
My role
I selected this example and asked for useful evidence people could explore without setup.
Built with Codex
Codex implemented public job-feed collection, keyword matching, filters and source-linked excerpts.
Verification
Checks reconcile employer coverage and match counts. Older retained records are labeled. Title and department matches remain separate from description-only matches.
Related enterprise work: platform delivery ↗Personal demonstration; enterprise results are described in the linked case.
03 THE CITY EXPLORER SF 311
The work behind the city.
For service operations: find workload changes worth investigating.
Comparing completed weeks…
SF 311 · Open-work totals cover requests opened in the last 90 days. Closures can include older requests; intake and closure totals are not a completion rate.
Work across the city
Neighborhoods
New requests & recorded closures
Scroll across the chart to see every date.
Service categories
Sources, definitions & coverage
My role, Codex’s role & what we checked
My role
I selected this example and directed the design and usability brief toward a quick, understandable result.
Built with Codex
Codex implemented aggregate 311 queries, neighborhood mapping and comparisons across reporting periods.
Verification
Checks reconcile totals and neighborhood joins. The display keeps intake, recorded closures and the bounded open-case cohort distinct.
Related enterprise work: understanding operational processes ↗Personal demonstration; enterprise results are described in the linked case.
THE THINKING BEHIND THE BUILD
A clear brief.
A working result.
I chose the three topics, set the audience and cost constraints, and directed the design and usability brief.
Codex implemented the data pipelines and interfaces, ran checks, and published the lab. Each project includes its purpose, source definitions and verification notes.
How the lab stays useful
Scheduled refreshes publish dated snapshots. When a source fails, the last valid data is retained and its age remains visible. These pages use static data and do not make an AI model call for each visit.