Last Developments

Foundation and ecosystem role — Completed

• Defined Ada's role as the conversational connection between The Library, The Square, and practical work
• Established the public-beta experience, usage controls, and domain-specific behavior for chemometrics
• Built persistent conversations with light and dark themes and responsive ecosystem navigation

Agentic search and grounded answers — Completed

• Connected Ada to Library articles, platform guidance, public codes, datasets, and version information
• Added multi-step tool use so Ada can continue searching when the first result is not sufficient
• Strengthened source presentation so normal users see useful public links while machine-oriented resources remain internal unless requested
• Improved selection guidance so standard and traditional field approaches are preferred over specialized variants unless the question asks for one

Literature discovery and reference checking — Completed

• Integrated OpenAlex for paper discovery, authorship, venue, citation context, and available abstracts
• Added exact paper lookup by DOI or OpenAlex identifier before a reference is presented as verified
• Kept a clear distinction between scholarly metadata and full-text paper reading
• Added separate inspection of public Zenodo records and identifiers

Workspace and project work — Completed

• Moved practical artifacts into a workspace-first experience with files, code, previews, results, and chat in one view
• Added direct source-file, ZIP, public GitHub, and latest approved Square code imports
• Added automatic numeric snapshots and user-named workspace versions
• Added safe file-reading and targeted editing tools for multi-file projects

Execution, previews, and interactive teaching — Completed

• Integrated browser-side Python execution for compact examples, plots, and inspectable results
• Added interactive HTML teaching artifacts with an automatic transition to the completed preview
• Added rendered-workspace inspection so Ada can check visible layout problems when the task requires it
• Kept execution, visual inspection, edits, and explanation inside the same conversation

Images, PDFs, and model choice — Completed

• Added paste, selection, and drag-and-drop support for images, PDFs, source files, and ZIP projects
• Kept image and PDF contents temporary instead of storing them in Ada's database or workspace
• Added GPT-5 Nano as the standard model, with GPT-5.4 Nano and DeepSeek V4 Flash available to authorized Association roles
• Added OpenAI interpretation for visual and PDF input when the selected conversational model does not support it directly

Square contribution workflow — Completed

• Added staged preparation of new code submissions and updates from the active workspace
• Added metadata checks, file selection, an Ada reviewer report, and explicit user confirmation before submission
• Added a private recovery note so an interrupted draft can be prepared again without becoming part of the public submission
• Preserved human review as the final approval step

Public beta and reliability — In progress

• Opened Ada as a public beta for real community use
• Improved queued follow-up messages, conversation transitions, workspace recovery, and long-running tool flows
• Strengthened visual inspection and model handoffs so one task remains part of one coherent answer
• Continuing to evaluate response quality, latency, tool choice, and user experience from real conversations

• Continue improving how Ada distinguishes standard methods from variants and selects useful results across larger catalogs
• Improve long-context retrieval when several articles, code entries, files, or papers are relevant to one task
• Refine literature selection while keeping exact bibliographic verification close to the final answer

• Make it easier to inspect dataset structure, provenance, and suitability before use
• Develop clearer guided paths from a public dataset into a small, reproducible analysis
• Improve the connection between dataset discovery, code selection, and workspace execution

• Expand guided interactive material for common chemometrics workflows
• Improve onboarding for users who are new to Ada, the workspace, or chemometrics itself
• Continue refining accessible explanations without hiding the mathematical and scientific details that matter

• Reduce avoidable latency in retrieval and multi-tool tasks without weakening the grounding of the answer
• Improve recovery from interrupted streams, provider errors, large projects, and long conversations
• Continue testing model behavior at different reasoning levels and documenting the limits observed in real use

• Explore practical MATLAB and R execution paths beyond the current browser-side Python environment
• Evaluate these environments carefully before presenting them as supported scientific workflows