For owners6 min read
From vibe-coded prototype to production: the 25-point checklist
Your AI-built prototype works in the demo. These 25 checks, grouped into ten areas, cover what usually needs attention before real users and real money arrive.
ReadAI agent and chatbot takeovers: finish an LLM assistant that works for real
AI agents and chatbots are built on language model APIs from providers such as OpenAI, Anthropic and Google, sometimes through frameworks like LangChain or LlamaIndex. Many use retrieval-augmented generation, storing document chunks in a vector index such as pgvector or Pinecone, and agents add tool calling so the model can look up orders, book slots or update records.
Why AI prototypes stall
A prototype tested with a handful of questions often meets real users and gives confident wrong answers. Retrieval may pull the wrong passages because documents were chunked poorly or never refreshed. Agents with broad tool access can take actions nobody intended, and user messages can carry instructions that override the system prompt. Costs climb when every turn resends long histories, and conversation logs may store personal data without a retention plan.
What to share with a developer
Describe who uses the assistant, what it should and should not do, and which tools or data it can reach. Provide a set of real questions with the answers you expect, plus examples of failures with personal details removed. Name the model provider and where API keys are held, keeping them out of chat. Running the secret leak scanner on the repository confirms keys are not committed.
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Frequently asked questions
Can a developer stop my chatbot from making things up?
No one can remove the risk entirely, but it can be reduced. Grounding answers in your own documents, telling the model to admit when it does not know, and testing against real questions all help.
Do I need to change model provider?
Not usually. Most problems come from prompts, retrieval or missing checks rather than the model itself. A developer may suggest trying another model for cost or quality once the basics work.