Building LLM-Based AI Agents as the core controller is a cool concept, as Lilian Weng puts it. It works best when you treat the LLM as a general problem solver plus strict controls. This is for AI engineers, product engineers, […]
You control creativity by reducing generation freedom and increasing evidence constraints. In practice, that means using a low temperature, enforcing source-grounded responses, and requiring the AI to refuse when evidence is missing. Factual accuracy comes from constraints, not from letting […]
You configure your AI bot to detect buying intent, answer the user’s question, and then route them to the most relevant landing page with a contextual recommendation. The AI should not drop random links it should guide users based on […]
Replace your keyword-based search with a RAG-powered AI answer engine that retrieves from your approved content and returns direct, source-grounded answers instead of document lists. Embed it where your search bar sits, connect it to your product, help, and marketing […]
To get cited by AI engines, structure your help center content in clear Q&A formats, provide concise direct answers upfront, use consistent terminology, include supporting detail beneath summaries, and maintain authoritative, up-to-date documentation. AI systems prioritize clarity, structure, and evidence […]
You analyze customer questions by capturing chat and search queries, clustering them by intent, and identifying topics where your AI cannot provide strong, source-backed answers. Gaps appear where users repeatedly ask questions that your content does not clearly address or […]
You embed a product-aware, source-grounded AI assistant directly on your product pages and connect it to your product specs, pricing rules, FAQs, and policies. The AI retrieves only relevant content for that specific product and answers customer questions instantly without […]
Use an AI chatbot with customGPT.ai to ask structured qualification questions, score responses against predefined criteria (ICP, budget, authority, timeline, need), and only route qualified prospects to demo booking. The chatbot should gather key data, verify fit using approved rules, […]
Build a source-grounded pricing assistant that retrieves from your approved pricing tables, plan rules, and policy docs then answers in a structured format (eligibility → plan fit → price drivers → caveats) with citations. Keep it deterministic (low creativity), prioritize […]
AI helps customers find the right products by understanding intent, not just keywords. Instead of forcing users to filter, scroll, and compare manually, AI asks clarifying questions, interprets needs, and surfaces the most relevant products—instantly and accurately. Most customers don’t […]
