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Version devBuilt at: 2026-10-16 04:27:01 EDT

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@labintelligence.bsky.socialOct 13, 2026, 7:34 PM

Parigi: per un poliziotto, il modello indica partenza 05:50.
35 km · P50 52 min · puntualità 100% · margine pess. +1m. Grazie a chi ogni giorno protegge persone e comunità.
Educativo · AI-assisted · non operativo. #mobilità #serviziopubblico · #LIwf20 #LIit

Card The Public Service Run per Parigi: poliziotto, partenza consigliata 05:50, distanza 35 km, durata mediana prevista 52 minuti, probabilità stimata di puntualità 100 per cento. Grafico con intervallo P10-P90.Route map for Parigi: recommended route from the public-origin alias to the public duty-location alias, with leave time, distance, median travel time and on-time probability.Forecast curve for Parigi: predicted travel time by departure slot with P10-P90 uncertainty and the recommended departure highlighted.Model metrics for Parigi: calibration stage, historical error metrics, on-time probability and forecast interval.
@labintelligence.bsky.socialOct 9, 2026, 10:34 PM

Buenos Aires: for a nurse, the model points to a 06:00 departure.
29 km · P50 27 min · on-time 100% · pess. margin +6m. Thank you to those who care, listen and support every day.
Educational · AI-assisted · not operational. #mobility #publicservice · #LIwf20 #LIen

The Public Service Run card for Buenos Aires: nurse, recommended departure 06:00, distance 29 km, predicted median travel time 27 minutes, estimated on-time probability 100 percent. Chart includes a P10-P90 interval.Route map for Buenos Aires: recommended route from the public-origin alias to the public duty-location alias, with leave time, distance, median travel time and on-time probability.Forecast curve for Buenos Aires: predicted travel time by departure slot with P10-P90 uncertainty and the recommended departure highlighted.Model metrics for Buenos Aires: calibration stage, historical error metrics, on-time probability and forecast interval.
@labintelligence.bsky.socialOct 6, 2026, 6:39 PM

Tokyo: per un infermiere, il modello indica partenza 05:50.
41 km · P50 40 min · puntualità 100% · margine pess. +2m. Grazie a chi ogni giorno cura, ascolta e assiste.
Educativo · AI-assisted · non operativo. #mobilità #serviziopubblico · #LIwf20 #LIit

Card The Public Service Run per Tokyo: infermiere, partenza consigliata 05:50, distanza 41 km, durata mediana prevista 40 minuti, probabilità stimata di puntualità 100 per cento. Grafico con intervallo P10-P90.Route map for Tokyo: recommended route from the public-origin alias to the public duty-location alias, with leave time, distance, median travel time and on-time probability.Forecast curve for Tokyo: predicted travel time by departure slot with P10-P90 uncertainty and the recommended departure highlighted.Model metrics for Tokyo: calibration stage, historical error metrics, on-time probability and forecast interval.
@labintelligence.bsky.socialOct 2, 2026, 10:07 PM

Sydney: for a police officer, the model points to a 06:40 departure.
17 km · P50 22 min · on-time 100% · pess. margin +2m. Thank you to those who protect people and communities every day.
Educational · AI-assisted · not operational. #mobility #publicservice · #LIwf20 #LIen

The Public Service Run card for Sydney: police officer, recommended departure 06:40, distance 17 km, predicted median travel time 22 minutes, estimated on-time probability 100 percent. Chart includes a P10-P90 interval.Route map for Sydney: recommended route from the public-origin alias to the public duty-location alias, with leave time, distance, median travel time and on-time probability.Forecast curve for Sydney: predicted travel time by departure slot with P10-P90 uncertainty and the recommended departure highlighted.Model metrics for Sydney: calibration stage, historical error metrics, on-time probability and forecast interval.
@labintelligence.bsky.socialSep 30, 2026, 10:12 PM

WF-20 · The Public Service Run: today's workflow spotlight.
Educational workflow that compares traffic-aware routes and departure windows for public-service…
Priority: on-time odds, traffic or margin?
Details and method → https://labintelligence.dev/go/wf20/en/
#AI #LIwf19 #LIwf20

Lab Intelligence WF19 card. WF-20 · The Public Service Run: today's workflow spotlight. Educational workflow that compares traffic-aware routes and departure windows for public-service… Mobility · public service · forecasting Active · educational · experimental 20 workflows
@labintelligence.bsky.socialSep 30, 2026, 6:09 PM

WF-20 · The Public Service Run: oggi sotto i riflettori.
Workflow educativo che confronta percorsi traffic-aware e finestre di partenza per scenari di…
Priorità: puntualità, traffico o margine?
Dettagli e metodo → https://labintelligence.dev/go/wf20/it/
#AI #LIwf19 #LIwf20

Lab Intelligence WF19 card. WF-20 · The Public Service Run: oggi sotto i riflettori. Workflow educativo che confronta percorsi traffic-aware e finestre di partenza per scenari di… Mobilità · servizi pubblici · forecasting Attivo · educativo · sperimentale 20 workflow
@labintelligence.bsky.socialSep 29, 2026, 6:18 PM

Toronto: per un infermiere, il modello indica partenza 06:00.
43 km · P50 33 min · puntualità 100% · margine pess. +3m. Grazie a chi ogni giorno cura, ascolta e assiste.
Educativo · AI-assisted · non operativo. #mobilità #serviziopubblico · #LIwf20 #LIit

Card The Public Service Run per Toronto: infermiere, partenza consigliata 06:00, distanza 43 km, durata mediana prevista 33 minuti, probabilità stimata di puntualità 100 per cento. Grafico con intervallo P10-P90.Route map for Toronto: recommended route from the public-origin alias to the public duty-location alias, with leave time, distance, median travel time and on-time probability.Forecast curve for Toronto: predicted travel time by departure slot with P10-P90 uncertainty and the recommended departure highlighted.Model metrics for Toronto: calibration stage, historical error metrics, on-time probability and forecast interval.
@labintelligence.bsky.socialSep 25, 2026, 9:29 PM

Singapore: for a nurse, the model points to a 06:10 departure.
18 km · P50 17 min · on-time 100% · pess. margin +8m. Thank you to those who care, listen and support every day.
Educational · AI-assisted · not operational. #mobility #publicservice · #LIwf20 #LIen

The Public Service Run card for Singapore: nurse, recommended departure 06:10, distance 18 km, predicted median travel time 17 minutes, estimated on-time probability 100 percent. Chart includes a P10-P90 interval.Route map for Singapore: recommended route from the public-origin alias to the public duty-location alias, with leave time, distance, median travel time and on-time probability.Forecast curve for Singapore: predicted travel time by departure slot with P10-P90 uncertainty and the recommended departure highlighted.Model metrics for Singapore: calibration stage, historical error metrics, on-time probability and forecast interval.
@labintelligence.bsky.socialSep 22, 2026, 5:19 PM

Lisbona: per un soccorritore sanitario, il modello indica partenza 06:10.
27 km · P50 22 min · puntualità 100% · margine pess. +6m. Grazie a chi porta soccorso, competenza e calma nelle emergenze.
Educativo · AI-assisted · non operativo. #mobilità #serviziopubblico · #LIwf20 #LIit

Card The Public Service Run per Lisbona: soccorritore sanitario, partenza consigliata 06:10, distanza 27 km, durata mediana prevista 22 minuti, probabilità stimata di puntualità 100 per cento. Grafico con intervallo P10-P90.Route map for Lisbona: recommended route from the public-origin alias to the public duty-location alias, with leave time, distance, median travel time and on-time probability.Forecast curve for Lisbona: predicted travel time by departure slot with P10-P90 uncertainty and the recommended departure highlighted.Model metrics for Lisbona: calibration stage, historical error metrics, on-time probability and forecast interval.
@labintelligence.bsky.socialSep 18, 2026, 8:50 PM

New York: for a nurse, the model points to a 06:00 departure.
30 km · P50 26 min · on-time 100% · pess. margin +9m. Thank you to those who care, listen and support every day.
Educational · AI-assisted · not operational. #mobility #publicservice · #LIwf20 #LIen

The Public Service Run card for New York: nurse, recommended departure 06:00, distance 30 km, predicted median travel time 26 minutes, estimated on-time probability 100 percent. Chart includes a P10-P90 interval.Route map for New York: recommended route from the public-origin alias to the public duty-location alias, with leave time, distance, median travel time and on-time probability.Forecast curve for New York: predicted travel time by departure slot with P10-P90 uncertainty and the recommended departure highlighted.Model metrics for New York: calibration stage, historical error metrics, on-time probability and forecast interval.
@labintelligence.bsky.socialSep 15, 2026, 5:19 PM

Londra: per un infermiere, il modello indica partenza 05:20.
41 km · P50 53 min · puntualità 100% · margine pess. +8m. Grazie a chi ogni giorno cura, ascolta e assiste.
Educativo · AI-assisted · non operativo. #mobilità #serviziopubblico · #LIwf20 #LIit

Card The Public Service Run per Londra: infermiere, partenza consigliata 05:20, distanza 41 km, durata mediana prevista 53 minuti, probabilità stimata di puntualità 100 per cento. Grafico con intervallo P10-P90.Route map for Londra: recommended route from the public-origin alias to the public duty-location alias, with leave time, distance, median travel time and on-time probability.Forecast curve for Londra: predicted travel time by departure slot with P10-P90 uncertainty and the recommended departure highlighted.Model metrics for Londra: calibration stage, historical error metrics, on-time probability and forecast interval.
@labintelligence.bsky.socialSep 11, 2026, 8:53 PM

New York: for a police officer, the model points to a 06:10 departure.
59 km · P50 43 min · on-time 100% · pess. margin +9m. Thank you to those who protect people and communities every day.
Educational · AI-assisted · not operational. #mobility #publicservice · #LIwf20 #LIen

The Public Service Run card for New York: police officer, recommended departure 06:10, distance 59 km, predicted median travel time 43 minutes, estimated on-time probability 100 percent. Chart includes a P10-P90 interval.Route map for New York: recommended route from the public-origin alias to the public duty-location alias, with leave time, distance, median travel time and on-time probability.Forecast curve for New York: predicted travel time by departure slot with P10-P90 uncertainty and the recommended departure highlighted.Model metrics for New York: calibration stage, historical error metrics, on-time probability and forecast interval.
@labintelligence.bsky.socialSep 9, 2026, 8:54 PM

One workflow at a time: WF-20 · The Public Service Run.
Output: Selected route and departure window, P10/P50/P90, on-time probability, pessimistic stress…
Priority: on-time odds, traffic or margin?
Details and method → https://labintelligence.dev/go/wf20/en/
#AI #LIwf19 #LIwf20

Lab Intelligence WF19 card. One workflow at a time: WF-20 · The Public Service Run. Output: Selected route and departure window, P10/P50/P90, on-time probability, pessimistic stress… Mobility · public service · forecasting Active · educational · experimental 20 workflows
@labintelligence.bsky.socialSep 8, 2026, 4:52 PM

Parigi: per un infermiere, il modello indica partenza 05:30.
57 km · P50 46 min · puntualità 100% · margine pess. +7m. Grazie a chi ogni giorno cura, ascolta e assiste.
Educativo · AI-assisted · non operativo. #mobilità #serviziopubblico · #LIwf20 #LIit

Card The Public Service Run per Parigi: infermiere, partenza consigliata 05:30, distanza 57 km, durata mediana prevista 46 minuti, probabilità stimata di puntualità 100 per cento. Grafico con intervallo P10-P90.Route map for Parigi: recommended route from the public-origin alias to the public duty-location alias, with leave time, distance, median travel time and on-time probability.Forecast curve for Parigi: predicted travel time by departure slot with P10-P90 uncertainty and the recommended departure highlighted.Model metrics for Parigi: calibration stage, historical error metrics, on-time probability and forecast interval.