Create weekly briefings from team updates
Leadership teams need concise weekly summaries across sales notes, customer updates, product docs, support issues, and roadmap changes. VectorAmp can produce cited briefing drafts so every claim is traceable.
What you will build
A repeatable weekly briefing workflow that retrieves relevant context, drafts a summary, and links each claim to a source.
Prerequisites
- Source folders or exports for weekly updates.
- Metadata for team, week, customer, priority, and source system.
- A review owner before distribution.
Step 1: Create a briefing dataset
vectoramp datasets create weekly-briefings --metadata '{"owner":"operations"}'
vectoramp config use ds_123
Step 2: Ingest weekly inputs
Use implemented connectors where possible. For tools without a native connector, export updates through their API and ingest the exported files.
vectoramp --dataset ds_123 datasets ingest-files ./weekly-updates/2026-W26 \
--extensions md,txt,csv,json \
--source-name "Weekly updates 2026-W26"
Step 3: Ask briefing prompts
Examples:
- “Summarize top customer risks this week.”
- “What changed in product delivery?”
- “Which support issues need executive attention?”
- “Create a five-bullet weekly briefing with citations.”
Step 4: Automate draft generation with the SDK
import { VectorAmp } from '@vectoramp/vectoramp';
const client = new VectorAmp({ apiKey: process.env.VECTORAMP_API_KEY });
const dataset = await client.datasets.get('ds_123');
const briefing = await dataset.ask({
question: 'Create a five-bullet executive briefing for this week with citations.',
topK: 12
});
console.log(briefing.answer);
Install the SDK with npm:
npm install @vectoramp/vectoramp
Step 5: Review and publish
Suggested workflow:
- Generate draft.
- Verify citations.
- Separate facts from recommendations.
- Publish to your internal doc, email, or meeting notes.
Validation checklist
- Every important claim has a source.
- Briefing excludes stale updates.
- Sensitive customer details are reviewed before distribution.
- The team can reproduce the briefing from the same dataset and prompt.