Add Lumen 1.0 announcement #97
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Pull request overview
This PR adds a blog post announcement for the Lumen AI 1.0 release. The post describes the major architectural improvements and features in Lumen 1.0, including a UI rewrite, a shift from global memory to explicit typed context, a new execution architecture supporting reports, and expanded connectivity.
Changes:
- New blog post announcement for Lumen AI 1.0 release
- Includes technical diagrams illustrating the typed context flow
- Covers architectural improvements, lessons learned, and future roadmap
Reviewed changes
Copilot reviewed 1 out of 5 changed files in this pull request and generated 1 comment.
| File | Description |
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| posts/lumen_1.0/index.ipynb | Main blog post content in Jupyter notebook format with metadata, introductory content, technical details, and future plans |
| posts/lumen_1.0/images/typed_context.svg | SVG diagram showing the flow of typed context through Lumen's execution graph |
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Great start! From my POV, this is more of a dev blog post, and for v1.0.0 (re-)release, I think we should try to appeal to the general public by sharing more potential use-cases, pretty pictures (from docs is fine), and less into the weeds of developing Lumen. |
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That's fair feedback. That said Lumen 1.0 is still very much a framework and developer-facing release, and the post reflects that reality. We should definitely do more to surface concrete use cases and visual outcomes to make the value easier to grasp, even for readers who won’t install it immediately (I've started doing that before I read your comment but there's likely more to do here). My instinct would be to keep the architectural narrative, but complement it with clearer examples and visuals that show what Lumen enables, rather than trying to position it as an end-user product prematurely. I'd suggest the following as a plan of action:
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| 5. **Turn exploration into something reusable** | ||
| At any point, the steps taken so far can become part of a report or a larger workflow, re-run against fresh data or combined with additional analyses. | ||
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| The key difference is that nothing disappears. Each step produces explicit artifacts that remain part of the session, making it easy to understand how a result was produced and to build on it over time. |
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Can you explain? Key difference from what? Usually a chatting tool preserves the chat, so I'm not sure how this behavior is different.
Updated various sections for clarity, improved readability, and making stronger claims.
jbednar
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Looks great! I left one comment but mainly engaged by editing a new version and pushing to this branch. @philippjfr , please review my changes and back out anything that you don't agree with.
| The `Planner` translates the question into a concrete plan: what data is needed, which tables to query, and how results should be grouped or aggregated. | ||
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| 2. **Generate and expose SQL** | ||
| The `SQlAgent` produces a SQL query, executes it, and shows both the result and the query itself. You can inspect it, edit it, or reuse it directly. |
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| The `SQlAgent` produces a SQL query, executes it, and shows both the result and the query itself. You can inspect it, edit it, or reuse it directly. | |
| The `SQLAgent` produces a SQL query, executes it, and shows both the result and the query itself. You can inspect it, edit it, or reuse it directly. |
| ### From Reports to Data Applications | ||
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| Building on the new execution and reporting architecture, we plan to support: | ||
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| * Polished report generation | ||
| * Grid-based, drag-and-drop layout of generated artifacts | ||
| * Composition of explorations into dashboards and data applications | ||
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| The goal is to let users move seamlessly from conversational exploration to structured, deployable outputs, without ever leaving Lumen. |
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Not sure if the last sentences implies import / export reports.
Ready for review