Promptev AI - LLM-agnostic infra layer for running AI agents in production

Most teams are building AI features, but enterprise adoption breaks at the infrastructure layer. Promptev is a future-safe, embedded AI operational layer that replaces hallucinations and tool chaos with model-agnostic, context-aware infrastructure. LLM providers make models, Promptev makes them operational inside your organization, connecting live data, business logic, tools, and any LLM into a unified AI agent platform that deploys in minutes and survives the ever changing AI landscape.

Hey👋 I’m excited to finally share Promptev with this community. Over the past year, we kept seeing the same pattern: teams were excited about AI, experimenting with prompts and models, but struggled when trying to make AI actually work inside real workflows. Prompts alone weren’t enough. AI needed context- access to internal tools, evolving data, and business logic. That realization led us to build Promptev, a platform focused on Context Engineering for Agentic AI. Instead of manually wiring prompts, APIs, and data sources every time, Promptev lets teams connect their tools (Notion, Jira, Drive, APIs, etc.) into reusable Context Packs that power intelligent agents. The goal is simple: Make building reliable AI agents as structured and scalable as modern software development. With Promptev, teams can: • Build context-aware AI agents without writing code • Connect live tools and internal data easily • Track performance, cost, and accuracy in real time • Manage prompts and agents with versioning and governance We built Promptev for teams moving from AI experimentation to real production systems. I’d truly love to hear your thoughts, feedback, and questions from the Product Hunt community. Thanks for checking it out 🙌

Promptev AI - LLM-agnostic infra layer for running AI agents in production

Replies