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PromptQL Blog

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Latest AI News

  • Policy-based access for the agent era

    Executive summary AI agents open up new routes to enterprise data, and app-level permissions can't cover all of them. In this article, Cisco engineering leader Greg Laws [https://www.linkedin.com/pulse/policy-based-access-agent-era-greg-laws-zaozc/] walks through how policy-based access keeps data…

    PromptQL Blog9 min read

  • How Can Product Managers Use Jev?

    The tools are paid for. The data sits in a dozen places. The team even has time set aside to try something new. Yet nobody can say where AI should start, so pilots stall, feedback keeps piling up and every experiment feels like a guess. Jev is a good place to aim.

    PromptQL Blog9 min read

  • How To Build a Jev Decision Workflow With No Engineering Help?

    Every Monday, someone on the team opens the shared inbox and sorts hundreds of messages by hand. Refund request, bug report, sales lead, spam. It is the same decision, made again and again, and it eats hours. Automating it sounds like an engineering project, so the idea waits in a queue.

    PromptQL Blog10 min read

  • How Can You Use Jev Without Writing Code?

    Five hundred support tickets sit in a spreadsheet, and one question needs an answer. Which ones are urgent? Most guides to Jev open with API keys, SDKs and JSON, which makes the whole thing sound like a job for an engineer. Good news for anyone who does not code.

    PromptQL Blog8 min read

  • Which Tools Let Product Managers Use Jev?

    Feedback tickets pile up. Feature requests arrive in three different inboxes. Someone has to decide which ones matter, and that someone is usually you, at 9 p.m., with a spreadsheet open. A model that sorts, scores and routes that pile in seconds would help.

    PromptQL Blog8 min read

  • Jev vs ChatGPT for Classification, Routing and AI Agents

    Every AI pipeline runs on small decisions. Is this ticket about billing or shipping? Does this prompt need the expensive model? Should this agent be allowed to delete that file? Most teams hand each of those calls to a frontier model like ChatGPT. At 10 requests a day, nobody notices.

    PromptQL Blog13 min read

  • Can Jev and an LLM Work Together in One Workflow?

    Most AI workflows run on a single model. Every step goes to the same large language model, whether the task is drafting a customer reply or answering a simple question like "Is this ticket urgent?" That setup gets expensive fast.

    PromptQL Blog13 min read

  • Jev vs LLMs: What's the Difference and When to Use Each

    Most teams send every AI task to the same place: a frontier LLM. That includes the small, repetitive calls, like tagging a support ticket, scoring a lead, or deciding whether an agent should retry a step. At ten items, nobody notices.

    PromptQL Blog10 min read

  • What Is Jev AI? TypeSafe's Decision Model Explained

    Most of the AI calls inside your software don't need an essay. They need an answer: which team owns this ticket, whether a tool call is safe, whether a lead is worth chasing. The usual approach is to ask a large language model for a paragraph and then parse it into something your code can use.

    PromptQL Blog15 min read

  • Your Next Move: How to Use AI for Your Job Search

    AI in Practice · With PromptQL and Jev Finding your next role comes with an impressive amount of unpaid admin. You search for openings, read the same job description wearing twelve different company logos, and save a few promising ones.

    PromptQL Blog5 min read

  • How to Generate Board-Ready Reports with AI

    Board week has a familiar rhythm. Finance pulls numbers from three different systems, someone rebuilds the variance table by hand, and the cashflow forecast is already a day old by the time it lands in the deck. The pressure is real.

    PromptQL Blog14 min read

  • How to Build an Audit Trail for AI-Generated Answers

    A regulator, a customer, or your own security team asks one question after an AI system gives a wrong answer: what exactly led to it? If your logs only show a prompt and a response, you have nothing to hand over.

    PromptQL Blog11 min read

  • How to Build Dashboards and Apps Inside a Multiplayer AI Thread

    Ask two people to build the same dashboard and you'll likely get two different definitions of "churn," three follow-up meetings, and a Slack thread that dies long before the numbers do. That's the real cost of solo dashboard building.

    PromptQL Blog10 min read

  • How to Stop Context Decay in Slack, Docs & Databases

    Ask an AI agent to pull a number, then ask a follow-up question about that same number, and watch what happens. In a lot of enterprise setups, the agent forgets what it just told you.

    PromptQL Blog10 min read

  • We cut new-hire ramp time in half. Here is the exact 7-step blueprint.

    Introduction I onboarded in a haze of wiki tabs, stale Notion pages, and Slack DMs that went unanswered for hours. You have seen it too. The new person who wants to ship but spends three weeks hunting down a policy doc or the right MongoDB connection string.

    PromptQL Blog11 min read

  • I Dropped the Slack Link Into PromptQL and It Just Answered

    Introduction You know the drill. You are deep in a problem, headphones on, finally making progress, when Slack pings. "Hey, what's the SOC 2 shared responsibility doc again?" Twenty minutes later, you have lost your flow, answered three more questions, and forgotten what you were building.

    PromptQL Blog10 min read

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