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Our Thoughts on Product Creation for Success

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Real Notes From Real Builders

These are notes from our own engineers and founders on what’s actually working in AI-driven development, secure cloud, and product delivery, and what to watch out for before it costs you time.

  • Claude Partnership & Agent Authority weekly blog post featured image

    Claude Partnership & Agent Authority – A-CX Weekly

    A-CX has joined Anthropic’s Claude Partner Network, with a look at where an AI agent’s authority runs out and Mix Sound for Film & TV coming up next week. Claude Partner Network We’re pleased to announce that A-CX has joined Anthropic’s Claude Partner Network. Membership gives us direct access to…

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  • Chief AI Officer blog: Three Doors AI Agent Authority Cannot Open

    Three Doors AI Agent Authority Cannot Open

    An agent has full authority inside a step and none to move work across the line between two steps. This post walks the three doors where that authority stops, including the consequence bar that keeps an agent from filing every problem it can imagine.

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  • Weekly tech blog featured image.

    One Person, One Week of Unattended AI Code Delivery

    In one week, one A-CX engineer closed 204 issues and merged 152 pull requests, with most of that week spent planning the work and unattended runs doing the execution. This post walks what the planning has to contain, the isolation that lets agents run in parallel, and the two gates…

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  • bstract visual of five connected steps carrying scattered inputs across a hand-off line into production

    A Structured Approach to PM for AI-Driven Projects

    In this follow-up, Mikko Peltola lays out A-CX’s five-step approach to PM for AI-driven projects: Deliver Brief, Deliver Spec, Deliver Plan, Deliver Code, and Deliver Deployment. He explains why the industry has solved the spec-to-code problem but not the client-to-spec step, and what happens when AI is left to guess…

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  • Product Management in AI-Driven Development

    AI-driven development has compressed build timelines from months to days, and product management has to move earlier to keep pace. Mikko Peltola argues that AI does not remove the need for structured requirements work, it just relocates where that work happens. He explains why reactive PM no longer survives a…

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  • A team in a control room oversees an automated development pipeline flowing from an idea on the left through decision nodes to a code merge point on the right.

    How We Guide Agentic Development, From Product Idea to Merged Code

    How A-CX turns a client’s real need into merged code: verified plans, an agile backlog agents execute against, and a human who owns the outcome.

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  • Abstract network of connected nodes radiating from a central point, representing agentic AI governance across distributed agents and applications

    How to Code More Effectively With Coding Agents

    Coding agents write a convincing first draft, not finished code. These are the coding agents best practices that keep engineering teams in control: verify every response, own the docs the agent generates, trace the logic before pushing, and never ship code you have not read.

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  • Abstract network of connected nodes radiating from a central point, representing agentic AI governance across distributed agents and applications

    From Prototype to Production with A-CX AI Nexus

    A-CX explores how employee-built AI agents and applications are transforming organizations and why they need a governance foundation to reach production. This post introduces the A-CX AI Nexus, a set of cloud-agnostic libraries that provide the control plane organizations need to deploy agentic AI securely, reliably, and at scale.

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  • How We Built Our Own AI Tooling and Rethought the Way We Work.png

    How We Built Our Own AI Tooling and Rethought the Way We Work

    A-CX built its own governed AI tooling instead of relying on unverified public plugins. This post covers the decisions, the architecture, the feedback loop, and where AI genuinely moves the needle.

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