AI Data Integrations & Infrastructure

The best file formats are DOCX and CSV, followed by well-structured PDFs. DOCX files preserve headings and intent, CSV files provide clean structured data, and PDFs work best only when they are text-based (not scanned). For high accuracy, structure and […]

The best approach is not “scraping” the rendered UI, but ingesting from a stable source of truth: an API, CMS export, sitemap, or pre-rendered/SSR HTML—then syncing updates into your knowledge base. Use headless browser scraping (Playwright/Puppeteer) only as a fallback […]

Yes. The practical way is to ingest the video transcripts (and metadata/timestamps)—not the raw video file. CustomGPT supports building an agent from a YouTube channel by automatically detecting videos and generating transcripts, which become searchable knowledge your chatbot can answer […]

An AI chatbot with multi-source data integrations delivers more complete, accurate, and context-aware answers by pulling information from multiple systems at once—such as CRM, help desk, policy docs, cloud storage, and internal knowledge bases. Instead of siloed responses, users get […]

Yes—if you treat it like any privileged enterprise app: enforce least-privilege permissions, restrict which channels it can access, and add guardrails against data leakage and prompt-injection. The safest setups combine Slack’s app/security controls with AI-side governance (citations, “don’t answer without […]