ginlix-ai/langalpha-deliverables
What the agent hands you. Reports, decks, workbooks and interactive dashboards, plus the chart annotation and design conventions that keep them looking like one house produced them.
Extra guidance for draw_chart_annotation, which works without loading this. Covers choosing between similar variants, aligning times to bars, several charts in one turn, and answering a chart selection the user sends.
Word documents a human will review and edit: build with python-docx, edit an existing file in place with tracked changes and comment threads, render, validate
Self-contained styled HTML reports written to the task directory: PDF-exportable research documents with inline data, charts, and theme-aware CSS
Inline HTML widgets: charts, dashboards, data tables rendered directly in the chat via ShowWidget
Interactive web dashboards: stock trackers, sector heatmaps, portfolio monitors, served via preview URL
Read, fill and build PDFs: inspect structure and fonts, extract text and tables with pdfplumber and poppler, fill and flatten AcroForms with pypdf, create with reportlab, merge, split and encrypt with qpdf, and verify by rendering the page and looking at it
PowerPoint decks built with pptxgenjs and native charts, existing decks edited in place with python-pptx, then rendered to images and audited for overflow, overlap, bounds and typography before delivery
Design-quality reference for financial-research visual output: typography, color, composition, and avoiding generic AI aesthetics
Excel workbooks with live formulas: build or edit .xlsx models with openpyxl, recalculate with IronCalc or LibreOffice, audit conventions, profile messy uploads, render for review