Resources · 7 assets · Updated May 2026

An open library for QA leaders.

Whitepapers, checklists, guidebooks, and templates from real client engagements. Free, gated only by an email so we can send the file. No drip funnel, no sales calendar.

Featured Whitepaper

A comprehensive analysis of how top engineering teams are reducing test flakiness by 40% while accelerating CI/CD pipelines. Based on data from 500+ enterprise deployments.

  • Architectural patterns for robust test suites.
  • Metrics for evaluating test ROI.
  • Benchmark data across 12 industries.

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Checklist

Essential pre-audit tasks and documentation requirements to prepare your infrastructure for compliance certifications (SOC2 / ISO).

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Who downloads these

QA leaders facing a specific decision this quarter.

Each asset was originally built for a real client engagement. Here are three of the conversations that produced the file you're about to download.

01
“I need a 90-day plan I can hand to my CTO before next quarter's planning.”
. SarahQA Director at

Series-B fintech · ~50 engineers

Reach for the 90-Day Plan template + the Boss Justification memo. Both written for that exact conversation.

02
“We're about to spend serious money on an AI testing tool. I'd like a sanity check.”
. MarcusHead of Quality at

Healthcare SaaS · 120 engineers

Run the AI Readiness Assessment first. You'll know whether the tool will compound or get added to the stack.

03
“Our regression suite costs us a full engineer-week of CI minutes per sprint.”
. PriyaQA Director at

E-commerce platform · 200+ engineers

Start with the Flaky Test Cost Calculator, then the Regression Audit worksheet. The numbers come fast.

Names + companies anonymized at the speakers' request.

Provenance

These aren't marketing artifacts. They're the working files Loop runs.

Each resource started inside a paying engagement. We publish them because the methodology is more valuable when more teams use it. And because we'd rather earn your trust before you spend money with us.

01

Inside the audit

Every QA Leverage Review runs the High-Leverage Work Map and the Access & Permissions Gap Audit. The worksheets here are the same ones we use with paying clients.

See the audit brief
02

Inside the workshop

Pre-engagement diagnosis for Quality Strategy & Leadership Alignment asks teams to fill out the Ownership Charter draft before the live session. Attached templates accelerate that.

See the workshop
03

Inside the sprint

The Quality Intelligence dashboard ships first thing in week one of the Quality Transformation Sprint. The starter dashboard here is the seed of that.

See the sprint

Watch · Companion videos

Talks that go with the templates

Subscribe on YouTube · @benfellows-dev
Inside a Real Agentic Pipeline (Step-by-Step Breakdown)

May 4, 2026

Inside a Real Agentic Pipeline (Step-by-Step Breakdown)

Agentic pipelines sound great in clean demos, but what do they actually look like in production? In this video, I break down one of the real AI development pipelines I use almost every day: how it starts from a prompt, creates its own branch and worktree, runs research, builds a plan, gets reviewed by a second agent, writes failing tests, implements until green, runs policy checks, and produces receipts at the end. I also cover what’s worked, what’s been over-engineered, where deterministic checks matter, and why “just run more agents in parallel” is not always the right answer. Sorry for the lower-energy video, I hadn’t eaten all day before recording this one 😅 Links: Newsletter: https://tinyideas.ai/#newsletters QA work at Loop: https://www.workwithloop.com/ LinkedIn: https://www.linkedin.com/in/ben-f-44778426/ X: https://x.com/FellowsBen

Watch on YouTube →
Are Agentic Pipelines Actually Worth It?

May 1, 2026

Are Agentic Pipelines Actually Worth It?

Are agentic pipelines actually worth the extra time, tokens, and complexity? My honest answer: it depends. Agentic pipelines can improve accuracy, visibility, governance, and control, but they also add real cost. They often take longer to run, use more tokens, introduce more orchestration, and create another layer of abstraction around your development process. So the question is not “do pipelines work?” The better question is: did this pipeline earn its cost? In this video, I walk through the framework I’m using to evaluate whether an agentic pipeline is actually worth running. That includes measuring the pipeline tax, tracking run receipts, comparing quality improvements, and using a ledger system to understand whether a pipeline is making the work better or just making it more complicated. I also share an example of a pipeline that looked good on paper but probably wasn’t worth it in practice. That’s an important part of the lesson: not every task needs a pipeline. Sometimes a single Claude Code or Codex session, guided by a strong engineer, is enough. The goal is to use pipelines surgically. Start simple. Measure what happens. Add complexity only when the pipeline is solving a real problem. And when a pipeline gets too large, use the data to make it smaller. If you’re experimenting with agentic development, this video is about how to think about ROI, accuracy, governance, and cost before building complex AI workflows everywhere.

Watch on YouTube →
Stop Doing AI “Factory Work” - Own Your Agentic Pipeline #agenticai #agentic #agenticcoding #coding

Apr 30, 2026

Stop Doing AI “Factory Work” - Own Your Agentic Pipeline #agenticai #agentic #agenticcoding #coding

Stop treating AI like factory work. Rigid, assembly-line workflows break down with complex codebases. Owning your agentic pipeline means customizing every step and refreshing context each time—leading to better accuracy, flexibility, and scalability where it actually matters. #agenticai #agentic #agenticcoding #coding

Watch on YouTube →

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Template

90-Day QA Leverage Plan

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