Mage

@mage_ai

🧙‍♀️ Build production workflows across apps, APIs, warehouses, and agents

Santa Clara, CA

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Mage
@mage_ai
Aug 12
Mage Pro August release notes are live. ✨ AI Sidekick 📊 Dashboards 🔎 Data Explorer ⚙️ Connection profiles 🧩 Industry templates See what’s new: mage.ai/updates/2026-0…
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Mage
@mage_ai
Sep 10
Understand the data before you build the pipeline. Mage Pro’s Data Explorer lets teams work with existing connections, run queries, and preview results before writing a block. mage.ai/features/data-…
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Mage
@mage_ai
Sep 9
A useful production reminder: retry, rerun, and backfill solve different problems. We broke down when to use each one, plus the run history, checkpoints, and validation a safe recovery needs. Guide: mage.ai/blog/data-pipe…
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Mage
@mage_ai
Sep 8
A failed data workflow should come with context. AI Sidekick helps teams inspect the failed block, read the logs, diagnose the issue, and work toward a fix without leaving Mage. mage.ai/sign-up
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Mage
@mage_ai
Sep 4
A successful pipeline run doesn’t always mean trustworthy data. Stale records, missing data, duplicates, and late arrivals can all hide behind a green status. Our new guide looks at closing that production reliability gap 👇 mage.ai/blog/data-pipe…