Construct an automated enterprise workflow using a secure five-step blueprint: trigger, validated AI decision, permissioned action, approval gate, and audit trail. Ensure reliability by enforcing idempotency and safe execution by restricting agents to allowed tools via Custom MCP actions. Try […]
Artificial intelligence is often framed as a tool for automation, efficiency, or cost reduction. But when it comes to websites, AI represents something more fundamental: a change in how users expect digital experiences to behave. For decades, websites have been […]
An AI legal document generator is a drafting system that produces consistent first drafts from structured inputs (like parties, dates, and governing law) using your approved templates and clause library, with guardrails and mandatory human review. Try CustomGPT with the […]
Quick Answers What is AI response verification? It’s a feature that checks if your AI’s answers are accurate and shows you where they came from. How did CustomGPT.ai use it internally? We turned it on for our own support agents […]
How to cite AI depends on your required style guide and policy: document the prompt and exact output used, tool/company, model or version, generation date, and any public share URL, then format the entry in MLA, APA, or Chicago.
AI for accounting workflows can speed up accounts payable (AP), reconciliations, month-end close, and reporting, but only if you use it to draft, triage, and explain (not to post or pay autonomously). The safe pattern is: AI suggests → humans […]
AI for document analysis is an ingest→extract→validate workflow that converts PDFs and scans into searchable text, structured fields, and grounded summaries. Store field provenance and confidence, review low-confidence or high-impact values, then answer questions only from verified sections with citations and safe refusals.
Improve AI visibility by ensuring pages are crawlable, indexed, and snippet-eligible, then placing a direct answer near the top, using clear H2/H3 structure, strengthening internal links, and applying structured data and snippet controls only when they match visible content.
Build a high-quality AI assistant by scoping one job, making documentation retrievable, and using RAG to answer only from retrieved evidence with citations. Add refusal/escalation rules, access controls, and prompt-injection defenses, then run continuous evals on a golden set to catch regressions.
SEO vs AEO vs GEO differ by outcome: SEO targets rankings and clicks in traditional search, AEO structures content so answer systems can extract a correct scoped response and cite it, and GEO uses controlled experiments to improve inclusion and citation rates in generative answers.
