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
Max & Evan on the ODSC AI X Podcast talking Gen UI, MCP, agentic analytics, and why dashboards still matter in an agent-driven world. 🎧 linktr.ee/odsc
"Seems better" is not a result. We benchmarked Preset Agent Skills against a regular agent across 31 real tasks. Our skills matched or won on 30. Clear wins on 23. Deep dive by Richard Fogaça Nienkotter: hubs.li/Q04l5pFc0#presetai#agentskills#conversationalanalytics
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
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/agent-s…
Today I attended an awesome session on DevRel at @DeveloperWeek.
The first talk was led by @rusackas79893 at @preset_data. His message was clear: in a world where it feels like nobody codes, writes, reads, or cares anymore; people still crave community and collaboration.
New semantic layers keep popping up, and there's no convergence on a single standard.
So our plan is simple: support them all.
Read more about our MCP: hubs.li/Q04jBX650
On episode 12 of Data Renegades, CL Kao sits down with Maxime Beauchemin (@mistercrunch) to explore what happens when software teams start working alongside armies of AI agents. Max shares the thinking behind Agor, his collaborative platform for orchestrating coding agents, and reflects on how AI is reshaping engineering, product, design, and data work.
hubs.ly/Q04hRnxg0
This Thursday 9 AM PT: a peek behind the curtain at how we're building data agents.
DatAgor, our agent tooling, the semantic layer, what we’re learning about AI that supports data teams. @mistercrunch Evan Rusackas, 45 min.
RSVP: hubs.li/Q04h8cCJ0
"The analyst role isn't disappearing. It's expanding so fast the old job description already feels stale."
@mistercrunch in a new blog on what becomes scarce in an AI-native data org hubs.li/Q04g__dx0
The new moat: business intimacy data judgment.
Semantic models, curated context, scoped agents, review loops, provenance. AI gets you speed. Humans still design trust.
See how we're putting this in practice on Thursday: preset.io/events/how-we-buil…
@linuxfoundation's #OSSummit is next week. Check out Evan Rusackas' documentation-focused talk if you're in town
Tue May 19, 11:55am CDT · Minneapolis
hubs.li/Q04gQk9L0
How do you build AI agents that actually support data teams?
Join @mistercrunch and Evan Rusackas on 5/21 for a live talk on how we build data agents at Preset (including DatAgor, our internal AI data expert).
Register: hubs.li/Q04gGqhG0#ai#opensource#agenticai
We’re demoing Preset MCP & Chatbot live, talking to our dashboards, watching it write SQL, and getting back charts and insights in real time.
Drop by the booth if you're at Day 2 of @AICouncilConf!
#aicouncil#mcp#chatbot#presetai