<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Take AI Bite</title><link>https://take-ai-bite.com/categories/positioning/</link><description>A framework for human-AI collaboration where the human stays in control and retains every lesson learned.</description><generator>Hugo -- gohugo.io</generator><language>en</language><lastBuildDate>Wed, 24 Jun 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://take-ai-bite.com/categories/positioning/index.xml" rel="self" type="application/rss+xml"/><item><title>How Take AI Bite learned to catch its own slips</title><link>https://take-ai-bite.com/blog/2026-07-02-tab-slip-catching-release/</link><pubDate>Thu, 02 Jul 2026 00:00:00 +0000</pubDate><guid>https://take-ai-bite.com/blog/2026-07-02-tab-slip-catching-release/</guid><description>Take AI Bite v1.7 through v1.9 is one long response to a single discovery: the agent knowing a rule is not the same as being stopped by it. A release post about the framework replacing what it trusted itself to remember with guards that do not depend on remembering.</description></item><item><title>In the loop, in charge of it, or in symbiosis? What the human-centered turn in AI still misses</title><link>https://take-ai-bite.com/blog/2026-06-24-in-the-loop-in-charge-or-symbiosis/</link><pubDate>Wed, 24 Jun 2026 00:00:00 +0000</pubDate><guid>https://take-ai-bite.com/blog/2026-06-24-in-the-loop-in-charge-or-symbiosis/</guid><description>The field turned back toward the human this year. But being in the loop is not the same as being in charge of it, and neither one reaches what genuine collaboration with AI could be.</description></item><item><title>Process Mining for AI Agentic Workflows, Part 1: A Field Guide</title><link>https://take-ai-bite.com/blog/pm-agentic-part-1/</link><pubDate>Wed, 24 Jun 2026 00:00:00 +0000</pubDate><guid>https://take-ai-bite.com/blog/pm-agentic-part-1/</guid><description>An agent demo convinces; the production system often never arrives. A four-part field guide to building agentic workflows on the real process, with a human in control.</description></item><item><title>Process Mining for AI Agentic Workflows, Part 2: Discovery and Value</title><link>https://take-ai-bite.com/blog/pm-agentic-part-2/</link><pubDate>Wed, 24 Jun 2026 00:00:00 +0000</pubDate><guid>https://take-ai-bite.com/blog/pm-agentic-part-2/</guid><description>The documented process is a story a company tells about itself; the lived process is what the data records. Why agentic automation has to start by measuring the real process and where the value actually leaks.</description></item><item><title>Process Mining for AI Agentic Workflows, Part 3: Engineering and the Agent</title><link>https://take-ai-bite.com/blog/pm-agentic-part-3/</link><pubDate>Wed, 24 Jun 2026 00:00:00 +0000</pubDate><guid>https://take-ai-bite.com/blog/pm-agentic-part-3/</guid><description>Automating a process with an agent is two engineering disciplines wearing one project name: a mature, deterministic data pipeline and a young, stochastic agent. Where they overlap, and where they split.</description></item><item><title>Process Mining for AI Agentic Workflows, Part 4: In Production</title><link>https://take-ai-bite.com/blog/pm-agentic-part-4/</link><pubDate>Wed, 24 Jun 2026 00:00:00 +0000</pubDate><guid>https://take-ai-bite.com/blog/pm-agentic-part-4/</guid><description>Going live is not a switch, it is a graded handover of trust. Earning autonomy on evidence, proving value against the baseline, and keeping a human in control of the decisions that carry weight.</description></item><item><title>From warm-up to the hard climb: contributing ACCRINTM and ACCRINT to a Rust spreadsheet engine</title><link>https://take-ai-bite.com/blog/2026-06-03-ironcalc-accrint-story/</link><pubDate>Wed, 03 Jun 2026 00:00:00 +0000</pubDate><guid>https://take-ai-bite.com/blog/2026-06-03-ironcalc-accrint-story/</guid><description>Two financial functions, twenty sessions, three weeks. The story of contributing ACCRINTM and ACCRINT to IronCalc, and the human-AI collaboration method that let a part-time contributor carry a multi-week investigation to a clean merge.</description></item><item><title>How Take AI Bite learned to bootstrap itself</title><link>https://take-ai-bite.com/blog/2026-06-03-tab-bootstrap-release/</link><pubDate>Wed, 03 Jun 2026 00:00:00 +0000</pubDate><guid>https://take-ai-bite.com/blog/2026-06-03-tab-bootstrap-release/</guid><description>Take AI Bite v1.5 and v1.6 added a hard gate for the default branch, a principle for reading the manual before assuming, and a self-bootstrapping protocol for fresh clones. A release post about the framework naming the assumptions it just paid for.</description></item><item><title>Running a PMO for an AI-agent workforce</title><link>https://take-ai-bite.com/blog/2026-05-28-pmo-director-agentic-stakeholder/</link><pubDate>Thu, 28 May 2026 00:00:00 +0000</pubDate><guid>https://take-ai-bite.com/blog/2026-05-28-pmo-director-agentic-stakeholder/</guid><description>Closing the project-management arc. The function behind the methodology has a name, and the role behind the function does too.</description></item><item><title>Project Management for the Agentic Stakeholder</title><link>https://take-ai-bite.com/blog/2026-04-10-project-management-for-the-agentic-stakeholder/</link><pubDate>Fri, 10 Apr 2026 00:00:00 +0000</pubDate><guid>https://take-ai-bite.com/blog/2026-04-10-project-management-for-the-agentic-stakeholder/</guid><description>The PMP I took in 2016 turned out to be the discipline I was already using to collaborate with an AI agent. I just did not have the vocabulary.</description></item><item><title>How a Methodology Learned to Think Ahead</title><link>https://take-ai-bite.com/blog/2026-04-08-think-ahead/</link><pubDate>Wed, 08 Apr 2026 00:00:00 +0000</pubDate><guid>https://take-ai-bite.com/blog/2026-04-08-think-ahead/</guid><description>Principle 1.9: build the map before you walk the territory. Strategy emerges from operational maturity, not before it.</description></item><item><title>Protocol existence is not protocol visibility: DSM v1.4.5</title><link>https://take-ai-bite.com/blog/2026-04-07-dsm-v1.4.5-protocol-visibility/</link><pubDate>Tue, 07 Apr 2026 00:00:00 +0000</pubDate><guid>https://take-ai-bite.com/blog/2026-04-07-dsm-v1.4.5-protocol-visibility/</guid><description>Two spoke agent violations in one session traced back to the same root cause, and how DSM v1.4.5 fixes it by relocating rules to where agents actually read them.</description></item><item><title>The trainer and the agents</title><link>https://take-ai-bite.com/blog/2026-04-02-trainer-and-agents/</link><pubDate>Thu, 02 Apr 2026 00:00:00 +0000</pubDate><guid>https://take-ai-bite.com/blog/2026-04-02-trainer-and-agents/</guid><description>I built an AI agent ecosystem from scratch. Three franchise stories helped me understand what I was actually doing.</description></item><item><title>142 features across three dimensions</title><link>https://take-ai-bite.com/blog/2026-03-20-dsm-features-three-dimensions/</link><pubDate>Fri, 20 Mar 2026 00:00:00 +0000</pubDate><guid>https://take-ai-bite.com/blog/2026-03-20-dsm-features-three-dimensions/</guid><description>DSM's 142 features mapped across human oversight, knowledge provenance, and experience accumulation.</description></item><item><title>Take AI Bite: a framework for human-AI collaboration</title><link>https://take-ai-bite.com/blog/2026-03-12-take-ai-bite-framework/</link><pubDate>Thu, 12 Mar 2026 00:00:00 +0000</pubDate><guid>https://take-ai-bite.com/blog/2026-03-12-take-ai-bite-framework/</guid><description>A collaboration framework where the human stays in control and retains every lesson learned.</description></item><item><title>Take a Bite</title><link>https://take-ai-bite.com/blog/2026-03-07-take-a-bite/</link><pubDate>Sat, 07 Mar 2026 00:00:00 +0000</pubDate><guid>https://take-ai-bite.com/blog/2026-03-07-take-a-bite/</guid><description>Deliver only what the reviewer can chew.</description></item></channel></rss>