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Preset

Preset

@preset_data

The future of AI analytics is open source.

Katılım Ağustos 2019
97 Takip Edilen2.3K Takipçiler
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Preset
Preset@preset_data·
Preset Chatbot knows your workspace AND knows its limits. It's context-aware (your data, your permissions, your semantic layer). More at hubs.li/Q04k7GnQ0 #presetai #mcp #aianalytics
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Preset@preset_data·
Most AI analytics is disposable: ask, answer, then poof…your work is gone. Preset's MCP lets an agent save its work as governed, reusable datasets, so your team and other agents can keep building. hubs.li/Q04pFNfz0 #mcp #ai #preset
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Preset@preset_data·
Your AI is only as reliable as the semantic layer behind it. Join us for a live talk on July 29 at 9 AM PT discussing Semantic Layer Extensions in @apachesuperset™. Define metrics once, get consistent output across dashboards, SQL, and AI. Register: hubs.li/Q04pvhQW0
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Preset@preset_data·
June by the numbers for #ApacheSuperset™: 767 PRs, 132 contributors, 68 first-timers. Highlights: #AIchatbots now have a sanctioned way to plug into the extensions framework (SIP-214), a broad security-hardening push, and an expanding #MCPtool catalog. hubs.li/Q04pcKFm0
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Preset@preset_data·
Missed our live demo of Preset Agent Skills? The recording's up. Watch an #AI agent operate a real Preset workspace with the same safety steps and API know-how a seasoned #Superset engineer would use — install in under 5 minutes. hubs.li/Q04nRm2B0 #apachesuperset #mcp
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Preset@preset_data·
MCP isn’t just about connecting #AI to your app. It’s about exposing the right capabilities. Preset #MCP includes 25 purpose-built tools for real analytics workflows—from dashboards and charts to SQL, datasets, alerts, and reports. Learn more 👉 hubs.li/Q04nDtCw0
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Preset@preset_data·
#AIagents have changed a lot in the past few months. So has Preset! From #opensource Agent Skills to 25 MCP tools and new technical resources, we’ve been focused on making AI agents more capable, reliable, and production-ready. ➡️ hubs.li/Q04nwqPw0
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Preset@preset_data·
Tomorrow, 9am PT join us for a live demo of Preset Agent Skills 🚀 Preset Agent Skills are versioned, installable instruction sets that teach an AI agent how to operate safely in a Preset workspace. 45 min, Zoom, free: hubs.li/Q04mpHZc0 #presetai #mcp #aianalytics
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Preset@preset_data·
An AI agent sounds confident either way. Confidence ≠ correctness. 31 real Preset tasks. Preset Agent Skills matched or beat a bare agent on 30. Clear wins on 23. Live demo Wed June 24, 9am PT: hubs.li/Q04m1_QR0
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Preset@preset_data·
Ask an AI agent to update a chart and it might hit the endpoint that overwrites it, not the one that exports it. Preset Agent Skills teach your agent the difference. See them run live on a real workspace, June 24, 9am PT: hubs.li/Q04l-hCJ0
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Preset@preset_data·
This June Fivetran and dbt merged into a $4.4B company owning ingestion and transformation, about 2/3 of a typical data stack. With Tableau, Power BI, and Looker all raising prices too, BI is the layer where you still have room to act. hubs.li/Q04lKLXc0
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Preset@preset_data·
Your AI agent writes great code. But it doesn't know your Preset workspace. Preset Agent Skills give any MCP-compatible client the judgment of a seasoned Superset expert. Join the Preset team on June 24 to see them in action: hubs.li/Q04lrNL20
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Preset@preset_data·
4/ Apache 2.0, on GitHub. The instructions an AI follows in your production environment should be readable, auditable, and forkable github.com/preset-io/agen…
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Preset@preset_data·
3/ The same packages install across Claude Desktop, Claude Code, Codex, Cursor, GitHub Copilot, Snowflake Cortex Code CLI, and Gemini CLI. One layer of expertise, every major AI client
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