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    introduction
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    intentive

    Introducing Intentive

    June 6, 2025
    3 min read
    AI Engineer
    📖 3 min read
    🔄 Updated 6/6/2025

    Introducing Intentive

    From half-baked ideas to production-ready reality—without the translation tax

    Intentive is designed to be a standard way to remove friction in an AI-native system. Tell the system what you want and watch it turn those words into code, workflows, and an audit trail you can actually trust.


    Why Intentive Was Started

    • Lost in Interpretation – Bold OKRs shrink into bite-sized tickets, specs drift, and the 2 a.m. fire-drill never quite goes away.
    • Automation Islands – RPA here, CI/CD there, a chatbot somewhere else. None agree on a common “language of getting work done.”
    • Speed vs. Compliance – Shipping fast is easy … until the first SOC-2 questionnaire hits your inbox.

    What Makes Intentive Different

    1. Intent as Data

    Intentive captures a request - say “Run May payroll for APAC with quarterly bonuses” - as a node in a Canonical Intent Graph. Every downstream action (code generation, workflow orchestration, approvals) hangs off that node. No translation loss, no hidden side-effects.

    2. Opinionated, Swappable Layers

    Rather than a single monolith, Intentive is composed of clear layers—each replaceable if your stack demands it:

    • Intent Mesh Gateway – Classifies and routes new intents (Fastify + embeddings).
    • Temporal Workflows – Handles long-running jobs.
    • Knowledge Graph – Anchors domain context (Neo4j, type-safe).
    • Guardrails – Enforces budget, policy, and security (Policy DSL + OpenTelemetry).
    • GraphQL Fallback – Provides a read-only safety net when custom handlers are offline.

    If GitHub Actions, Zapier, and your risk team threw a hack-day together, this is what they’d ship.


    AskQL vs. IntentQL — A Living Comparison

    • Purpose

      • AskQL focuses on safe, read-only queries.
      • IntentQL (in active development) will drive full lifecycle actions—reads, writes, and triggers.
    • Mental Model

      • AskQL feels like a “smart SELECT.”
      • IntentQL aims to feel like “git commit && deploy” for real-world operations.
    • Example Usage

      • AskQL → ask { orders(where:{status:"OPEN"}) { id } }
      • IntentQL (road-map) → intent { launchPromo("SPRING25") region:"APAC" }

    AskQL lets teams interrogate data safely. IntentQL will let them change the world behind that data—using the same mental model.


    Intentive - For the Builders

    • No Lock-In – Swap any layer; the core is open.
    • TypeScript First – Strict types from HTTP edge to graph node.
    • Plug-in Friendly - Designed with a plugin vision in mind

    Roadmap Highlights

    • Q3 ’25 – IntentQL alpha + multi-endpoint GraphQL fallback
    • Q4 ’25 – Live RBAC guardrails + Slack approvals
    • Q1 ’26 – Visual Intent Designer (drag-and-drop graph editor)

    Try It

    1. Docs – intentive.dev for a five-minute quick-start (docs will be updated shortly on site).
    2. GitHub – https://github.com/agenticaivc/intentive Star the repo.

    Intentive turns the sentence you just spoke into an auditable, observable, production-grade outcome—quicker than you can schedule the kickoff.
    Ready to let intent become your primary interface?

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    AI Summary

    This article explores introducing intentive, providing practical insights and actionable strategies for AI engineers and developers.