# Loop Engineering - Companion Site

The Applied AI foundation volume

## A better way to think, create, and work with AI

AI can draft, analyze, design, research, code, and act. This companion site helps turn that capability into better work through framing, feedback, verification, memory, and human judgment.

                    WritersAnalystsEducatorsLeadersCreativesResearchersBuilders

                    [Follow the book](/ch/)
                    [Explore the seven commitments](/primitives/)
                    [Put them to work →](/prompts/)

                [Buy on Amazon](https://amzn.to/4fyLgVH)

As an Amazon Associate I earn from qualifying purchases.

The field around the framework

## A living map of loop engineering

Gold terms name the book's design language. Gray terms track the changing industry around it.

## Choose your path

Follow the chapters, start with the seven design commitments, or jump directly into practical prompts, examples, and current vendor comparisons.

Start here

### Learn the framework

📖

### Read with the book

Follow the chapter resource pages for cited works, primary-source links, companion activities, and worked examples.

                        [Open Chapter Resources →](/ch/)

📐

### Seven Design Commitments

                            Author synthesis
                            7 commitments

Explore recurring mechanisms across coding-agent practice, reasoning-model training, autonomous agency, and knowledge work, with the failure pressure each commitment addresses.

                        [Open the Mapping →](/primitives/)

🔁

### Translate market terms

Map agent loops, worktrees, sub-agents, check commands, kill switches, and maturity tiers onto the seven commitments.

                        [Open Market Vocabulary →](/primitives/#market-vocabulary)

Practice

### Put it to work

🛠️

### Apply the framework

Use the prompts library to turn the seven design commitments into operational practices for each architectural layer.

                        [Open Prompts Library →](/prompts/)

📝

### Worked Examples

                            Per layer

Inspect full dialog transcripts, multi-step agent traces, and complete diagnostic walks across the architecture.

                        [Open the Examples →](/examples/)

🎚️

### Materiality Dial

                            By stakes
                            By domain

Calibrate autonomy and review across software, healthcare, legal, policy, education, and other operational contexts.

                        [Open the Patterns →](/materiality/)

⚖️

### Responsible AI

                            Reading paths

Connect cross-disciplinary sources and operator obligations directly to the architectural layers.

                        [Open the Reading →](/responsible-ai/)

Living resources

### Stay current

📊

### Vendor Capability Matrices

                            Reasoning models
                            Agents
                            Quarterly refresh

Compare current reasoning-model and agent capabilities, caveats, confirmation gates, monitor models, and sandboxing.

                        [Open the Matrices →](/matrices/)

🔌

### MCP Server Catalog

                            Live catalog
                            Quarterly refresh

Compare MCP vendor adopters, community projects, capability notes, and links to upstream documentation.

                        [Open the Catalog →](/mcp/)

🧠

### Fleet, Memory, Culture

                            Reference impl

Explore the Alex ACT fleet layer, Mall catalog, and the Core-led plugin constellation that implements it.

                        [Open the Reference →](/fleet/)

🧾

### Improve the record

Submit corrections to the book or companion pages and review accepted updates in the errata log.

                        [Open Errata Process →](/errata/)
