AIgile Framework @aigileframework

Your Backlog is Lying to You Most teams believe their backlog is a plan. In reality, it’s a frozen snapshot of what someone thought the work should be weeks ago. By the time a ticket reaches development, half the assumptions have changed. Add AI into the mix and that lag becomes…

Some of your best team members don’t have faces. Learn how to bring the best out of them: amzn.in/d/88GshzJ

Velocity is a lie. Signal is the truth. Replace speed with learning. 👉 amzn.in/d/88GshzJ

AIgile teams build libraries that turn single prompts into permanent leverage. One good prompt can save hundreds of hours. 👉 amzn.in/d/88GshzJ

An AIgile team doesn’t sit entirely around a table. A part of it lives in the network. Once you introduce agents as active participants, you stop managing people and start orchestrating a system. The developer isn’t just writing code. They’re designing prompts for the code…

AIgile treats prompts as production assets. Version them. Log them. Turn every attempt into compounding intelligence. 👉amzn.in/d/88GshzJ

Most teams think speed is the advantage AI brings. It’s not. What AI really changes is how quickly a system can learn. Every prompt you write is a hypothesis. Every output is a data point. Every retry teaches the model something about clarity, context, and constraints. AIgile…

Ideas don’t survive the backlog. AIgile ships reality. Grab your copy today: amzn.in/d/88GshzJ

Half your team doesn’t have a desk. AIgile is how you manage the invisible half. Learn how: amzn.in/d/88GshzJ

The sprint was Agile’s big breakthrough. Time-boxed focus. Predictable cadence. Regular feedback. AIgile replaces the sprint with a loop: Prompt → Generate → Validate → Refine → Signal → Reuse. This loop doesn’t run every two weeks. It runs every day, sometimes every…

AIgile is the rewrite. The book is the blueprint. amzn.in/d/88GshzJ

AIgile introduces roles that don’t exist in Agile: > Prompt Architect: Designs and maintains prompt chains > Signal Strategist: Tracks system learning over output volume > Feedback Engineer: Builds the loops that train agents > Outcome Owner: Defines success conditions over…

It's time. 🔨: amzn.in/d/88GshzJ

In Agile teams, knowledge lives in people’s heads, half-finished docs, and retrospective notes no one reads twice. It’s tribal, fragile, and vanishes when someone leaves. AIgile teams build knowledge that compounds. Every prompt version, successful or failed, becomes part of a…

Every unlogged prompt is a lesson lost. AIgile turns failures into fuel. Learn how: amzn.in/d/88GshzJ

You’re not managing a team. You’re managing a system. We're calling it AIgile: amzn.in/d/88GshzJ

Most teams treat feedback like an afterthought. They collect it in meetings, discuss it in Slack threads, and hope it trickles into the next sprint. AIgile turns feedback into a living engine. Every prompt run, every agent output, every retry gets logged and tagged. When…

One reusable prompt can save your team hundreds of hours. AIgile teaches you how to write them. Learn how: amzn.in/d/88GshzJ

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In AIgile, feedback isn’t a meeting. It’s a system. Every prompt, every agent output, every retry is logged and tagged: > What failed? > Why? > Was it prompt clarity, agent drift, or model limitation? This feedback lives in the system. AIgile teams automate feedback routing so…