Artifact Generation

The Problem

You need to produce something — a report, a deck, a summary — but the raw material is scattered. Numbers in a dashboard, context in emails, decisions in meeting notes, status in a project tracker. Before you can create, you must collect. Before you can polish, you must assemble.

This gathering phase often takes longer than the actual creation. And it's the boring part.

How Deep Notebook Helps

Deep Notebook consolidates inputs from across your apps and produces finished artifacts. You describe what you need to create and where the pieces come from. The notebook assembles, structures, and outputs.

The setup: A customer success manager needs to send monthly usage reports to enterprise clients. Each report requires data from the product analytics platform, context from support tickets, and updates from the account team's notes.

Block 1: Gather metrics "Pull usage data for Acme Corp from Amplitude for the past month. Include daily active users, feature adoption rates, and session duration trends."

Block 2: Add context "Find any support tickets from Acme Corp this month. Summarize issues raised and their resolution status."

Block 3: Include account notes "Search our Notion workspace for the Acme account page. Extract recent updates and any flagged risks."

Block 4: Generate report "Create a PDF report with: executive summary, usage metrics with charts, support summary, and account health assessment. Use our client report template structure."

The output: a polished PDF ready to send. What took an hour now takes minutes.

Common Artifact Types

Reports and Summaries Weekly status updates, monthly business reviews, quarterly analyses. Pull data from relevant sources, structure according to your template, output as document or PDF.

Presentations Decks for leadership, client reviews, board meetings. Aggregate metrics and insights, format into slides, export to Google Slides or PowerPoint.

Briefs and One-Pagers Competitive analyses, project proposals, decision documents. Synthesize research and data into concise, structured formats.

Data Exports Structured spreadsheets for analysis, formatted CSVs for import into other tools, database entries for record-keeping.

Getting Started

Define the artifact. What exactly do you need to produce? A 5-page report? A 10-slide deck? A one-page summary? Be specific about format and structure.

Identify inputs. Where does the raw material live? List the apps and the specific data you need from each.

Describe the structure. How should the final artifact be organized? Sections, order, emphasis. The more structure you provide, the better the output.

Specify the output format. Tell the notebook exactly what to create: "Generate a Google Doc with these sections" or "Create a Google Slides presentation with one metric per slide."

Example: The Weekly Standup Summary

Every Monday, a product team needs a summary of the past week: what shipped, what's in progress, blockers, and priorities for the coming week.

Block 1: "Pull all Linear tickets marked 'done' last week for the Mobile team."

Block 2: "Find tickets currently 'in progress' with their assignees and expected completion."

Block 3: "Identify any tickets labeled 'blocked' and summarize the blockers."

Block 4: "Create a Google Doc titled 'Mobile Team Weekly - [date]' with sections for Shipped, In Progress, Blockers, and Next Week Priorities."

Schedule this to run every Monday at 8am. The summary appears in a shared Drive folder before standup begins.

Quality Tips

Provide templates. If you have a standard format, describe it in detail or link to an example. The notebook replicates structure.

Iterate on prompts. First drafts rarely nail the tone or structure. Refine your instructions based on outputs until the artifact matches what you'd produce manually.

Review before distributing. Automated doesn't mean unreviewed. Spot-check outputs, especially for external-facing artifacts.