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Introducing Agent Effectiveness. Measure Factory usage across cycle time, work priorities, and shipped artifacts, so you can actually see what your AI spend produces.

61,390 görüntüleme • 2 ay önce •via X (Twitter)

23 Yorum

Factory profil fotoğrafı
Factory2 ay önce

See where teams are shipping faster. 'Throughput' puts Factory usage next to project, issue, and pull request cycle times. Compare projects, pods, and users against quarterly targets, then pinpoint where the gains are concentrated.

Factory profil fotoğrafı
Factory2 ay önce

Make sure added capacity reaches priority work. 'Output' maps Factory spend to session intent: feature engineering, maintenance, bug fixes, and exploration.

Factory profil fotoğrafı
Factory2 ay önce

Trace Factory spend to shipped work. 'Attribution' links sessions to projects, issues, users, and artifacts. See the specific work behind organization-level spend.

Factory profil fotoğrafı
Factory2 ay önce

Agent Effectiveness is available now in private preview in Factory Analytics:

Matan Grinberg profil fotoğrafı
Matan Grinberg2 ay önce

ROI is back

Factory profil fotoğrafı
Factory2 ay önce

We are so back!

Shaun Maguire profil fotoğrafı
Shaun Maguire2 ay önce

Love this!

Factory profil fotoğrafı
Factory2 ay önce

Thanks Shaun!

Ashley Jepson profil fotoğrafı
Ashley Jepson2 ay önce

SO valuable for teams to see how Factory is converting code into valuable, great job team!!!

Factory profil fotoğrafı
Factory2 ay önce

🫡

Josh profil fotoğrafı
Josh2 ay önce

Smart move, love this drop 💪

Factory profil fotoğrafı
Factory2 ay önce

Thank you Josh!

Josh profil fotoğrafı
Josh2 ay önce

You’re welcome! 💪🔥🫶

Matthew Schrager profil fotoğrafı
Matthew Schrager2 ay önce

Awesome.

Factory profil fotoğrafı
Factory2 ay önce

Thank you!

hiep chau profil fotoğrafı
hiep chau2 ay önce

Factory Droid Max ($200/mo) feels closer to Claude Max 5x in actual usage. Droid Computer is only ~10h. Could Factory increase the Max quota or let users convert Computer hours into regular Droid quota?

Inflectiv AI ⧉ profil fotoğrafı
Inflectiv AI ⧉2 ay önce

Measuring cycle times, intent, and shipped artifacts provides engineering leaders with tangible ROI metrics for AI spending.

Sebastian Buzdugan profil fotoğrafı
Sebastian Buzdugan2 ay önce

cycle time hides review load, where weak agent output moves cost instead of removing it

Togan Gökbakar profil fotoğrafı
Togan Gökbakar2 ay önce

Your mobile webpage is very buggy please fix it. @FactoryAI

Prasenjit Sarkar profil fotoğrafı
Prasenjit Sarkar2 ay önce

You need to use cost tracker in the Campfire

AI SaaS Launchpad profil fotoğrafı
AI SaaS Launchpad2 ay önce

measuring actual shipped code against api spend is where most ai deployments stall.

Swyisse AI Capital profil fotoğrafı
Swyisse AI Capital2 ay önce

This is actually a big deal. Companies spend millions on AI. But how do they know it’s actually helping? Now they can start measuring what AI actually gets done. And once you can measure the results, AI stops being an experiment and starts becoming a real business tool.

Matheus Melo profil fotoğrafı
Matheus Melo2 ay önce

@acgfbr

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