# Rod Amora > Rod Amora is co-founder, CTO, and Chief AI Officer (CAIO) at Berry, where he ran the company's own AI transition. He helps business owners see where AI fits, what to try first, and what needs to change for it to work. rodamora.com is his canonical English-only publication. The site is published in English only. ## Pages - [Home](https://rodamora.com/): What Rod writes about and the work behind it. - [About](https://rodamora.com/about): Rod Amora's background, credentials, books, research, and answers about his work. - [Newsletter](https://rodamora.com/newsletter): Get new writing by email. - [Contact](https://rodamora.com/contact): Contact form for reaching Rod Amora directly. - [Friends](https://rodamora.com/friends): The people Rod Amora likes and reads, with a link to each one. - [Now](https://rodamora.com/now): What Rod Amora is doing now, and what he is deliberately not doing. - [Blog](https://rodamora.com/blog): The full essay archive. - [AI glossary](https://rodamora.com/glossary): Plain-English definitions of common AI terms for business owners. ## Frameworks Frameworks and tools to help business owners make AI decisions. Index: [Proofwork](https://rodamora.com/proofwork). - [The Delivery Model Ladder](https://rodamora.com/delivery-model-ladder) - [The Four Numbers](https://rodamora.com/four-numbers) - [The Production Gap](https://rodamora.com/production-gap) - [The AI Readiness Assessment](https://rodamora.com/ai-readiness-assessment): answer questions about your firm to find its place on the Delivery Model Ladder. - [AI ROI Calculator](https://rodamora.com/ai-roi-calculator) - [AI Token Cost Calculator](https://rodamora.com/ai-token-calculator): work out the token bill, then the cost of one accepted task after retries, review, and corrections. ## Worksheets - [Choose your first AI workflow](https://rodamora.com/materials/first-ai-workflow): free Excel workbook to compare three workflows, check six prerequisites, and plan a small test. Includes a hypothetical example. ## Glossary terms These terms have a full explanation on their own page. The glossary index above also includes terms with shorter definitions. - [AI agent](https://rodamora.com/glossary/ai-agent): An AI agent is software that pursues a goal through several steps, picks an allowed next action, uses tools, and responds to each result. - [Agentic AI](https://rodamora.com/glossary/agentic-ai): Agentic AI describes AI systems that choose their next action and use tools while working toward a goal. - [AI-native](https://rodamora.com/glossary/ai-native): AI-native means a firm designs its work, delivery, and pricing around AI instead of adding AI to an older operating model. - [AI workflow](https://rodamora.com/glossary/ai-workflow): An AI workflow is a preplanned sequence that uses AI for one or more steps while keeping the order under the firm's control. - [Automation](https://rodamora.com/glossary/automation): Automation is software that starts a repeatable task from a trigger and carries it through defined actions, checks, and exceptions with limited manual handling. - [Copilot](https://rodamora.com/glossary/copilot): An AI copilot helps a person do a task while that person sets direction, checks the result, and decides what happens next. - [Large language model (LLM)](https://rodamora.com/glossary/large-language-model): A large language model is an AI model trained on broad language data to predict and generate text. - [Model](https://rodamora.com/glossary/model): An AI model is a trained component that turns an input into a prediction, label, or generated result. - [Prompt](https://rodamora.com/glossary/prompt): An AI prompt is a job brief that gives a model the instructions, examples, and task-specific information for one request. - [Context](https://rodamora.com/glossary/context): Context is the information a model can use while handling one current request or workflow step. - [Context window](https://rodamora.com/glossary/context-window): A context window is the maximum amount of information an AI model can consider in one request, measured in tokens. - [Context engineering](https://rodamora.com/glossary/context-engineering): Context engineering gives an AI the current instructions, data, examples, tools, and history it needs to complete a task well. - [Tool](https://rodamora.com/glossary/tool): An AI tool is a named function with set limits that a model can request to read outside information, calculate something, or act through another system. - [Skill](https://rodamora.com/glossary/skill): An AI skill is a reusable set of instructions that teaches an AI how to perform a particular kind of work. - [Model Context Protocol (MCP)](https://rodamora.com/glossary/model-context-protocol): Model Context Protocol (MCP) is an open standard that gives AI applications a common way to connect to outside data and tools. - [Retrieval-augmented generation (RAG)](https://rodamora.com/glossary/retrieval-augmented-generation): Retrieval-augmented generation (RAG) searches external sources for relevant information and gives that evidence to an AI before it answers. - [Grounding](https://rodamora.com/glossary/grounding): AI grounding ties a model's claims to specific evidence that a person or system can inspect and verify. - [Hallucination](https://rodamora.com/glossary/hallucination): An AI hallucination is a false or unsupported claim that an AI presents as true. - [Memory](https://rodamora.com/glossary/memory): AI memory is a record that a system saves outside the current request and retrieves for later work. - [Multimodal AI](https://rodamora.com/glossary/multimodal-ai): Multimodal AI works with more than one kind of information, such as text, images, audio, video, or documents, and connects what it finds in them. - [Reasoning model](https://rodamora.com/glossary/reasoning-model): A reasoning model is a language model trained to do extra work planning, checking, and revising before it answers a difficult question. - [Token](https://rodamora.com/glossary/token): An AI token is a unit of text or other information that a model reads or generates, such as a word, part of a word, punctuation mark, or image patch. - [Fine-tuning](https://rodamora.com/glossary/fine-tuning): Fine-tuning is extra training that adapts an existing AI model to a particular task or output. - [Eval](https://rodamora.com/glossary/eval): An eval is a repeatable test that scores AI output against a written standard, so you can track quality over time. - [Guardrail](https://rodamora.com/glossary/guardrail): A guardrail is a rule that limits an AI system's access, actions, or freedom to act without a person's approval. - [Human in the loop](https://rodamora.com/glossary/human-in-the-loop): Human in the loop means placing a person at a defined point in an AI process to review, approve, correct, or take over the work. - [Orchestration](https://rodamora.com/glossary/orchestration): AI orchestration coordinates the models, agents, tools, people, and fixed steps that carry one job from the start to a record of the finished work. - [Computer use](https://rodamora.com/glossary/computer-use): Computer-use AI is a way for AI to operate software through the screen, keyboard, and mouse, using screenshots to choose what to click or type next. - [API](https://rodamora.com/glossary/api): An API is a software interface that lets one system ask another system for data or an action. - [Generalization](https://rodamora.com/glossary/generalization): Generalization asks whether a rule learned from observed cases still works on cases it has not seen. - [AI enablement](https://rodamora.com/glossary/ai-enablement): AI enablement is the work of helping a business get a useful result from AI, by preparing its information, changing the process, helping people learn, and testing small builds. - [Agent washing](https://rodamora.com/glossary/agent-washing): Agent washing is marketing that relabels assistants, chatbots, or older automation as AI agents without giving them substantial agentic capabilities. ## Feeds - [RSS](https://rodamora.com/rss.xml): Full-content English essay feed. - [Full content archive](https://rodamora.com/llms-full.txt): All published essays in one markdown file. ## Latest essays - [We Couldn't Afford to Review 900 Applications, So We Built an AI Interviewer](https://rodamora.com/blog/we-couldnt-afford-to-review-900-applications-so-we-built-an-ai-interviewer) ([markdown](https://rodamora.com/blog/we-couldnt-afford-to-review-900-applications-so-we-built-an-ai-interviewer.md)) - 2026-09-23 - [You Bought Automation and Installed a Guess](https://rodamora.com/blog/you-bought-automation-and-installed-a-guess) ([markdown](https://rodamora.com/blog/you-bought-automation-and-installed-a-guess.md)) - 2026-09-21 - [Your AI Can Find the Record. That Doesn't Make It the Answer.](https://rodamora.com/blog/your-ai-can-find-the-record-that-doesnt-make-it-the-answer) ([markdown](https://rodamora.com/blog/your-ai-can-find-the-record-that-doesnt-make-it-the-answer.md)) - 2026-09-18 - [AI prices fell up to 22x. Our bill fell 2x. Here is where the rest went.](https://rodamora.com/blog/ai-prices-fell-up-to-22x-our-bill-fell-2x-here-is-where-the-rest-went) ([markdown](https://rodamora.com/blog/ai-prices-fell-up-to-22x-our-bill-fell-2x-here-is-where-the-rest-went.md)) - 2026-09-16 - [Making the same work faster is not enough](https://rodamora.com/blog/making-the-same-work-faster-is-not-enough) ([markdown](https://rodamora.com/blog/making-the-same-work-faster-is-not-enough.md)) - 2026-09-14 - [You Can Build Your Own Software Now. Buy the Cheap Tool Anyway.](https://rodamora.com/blog/you-can-build-your-own-software-now-buy-the-cheap-tool-anyway) ([markdown](https://rodamora.com/blog/you-can-build-your-own-software-now-buy-the-cheap-tool-anyway.md)) - 2026-09-11 - [Don't Pick Your First AI Pilot by Performance Alone](https://rodamora.com/blog/dont-pick-your-first-ai-pilot-by-performance-alone) ([markdown](https://rodamora.com/blog/dont-pick-your-first-ai-pilot-by-performance-alone.md)) - 2026-09-09 - [Nobody Wanted to Write the Meeting Summary](https://rodamora.com/blog/nobody-wanted-to-write-the-meeting-summary) ([markdown](https://rodamora.com/blog/nobody-wanted-to-write-the-meeting-summary.md)) - 2026-09-08 - [AI Enablement Is a Loop, Not a Roadmap](https://rodamora.com/blog/ai-enablement-is-a-loop-not-a-roadmap) ([markdown](https://rodamora.com/blog/ai-enablement-is-a-loop-not-a-roadmap.md)) - 2026-08-24 - [AI-Native Without Starting Over](https://rodamora.com/blog/ai-native-without-starting-over) ([markdown](https://rodamora.com/blog/ai-native-without-starting-over.md)) - 2026-08-21 - [You Can Afford More Agents. You Can't Afford to Watch Them.](https://rodamora.com/blog/you-can-afford-more-agents-you-cant-afford-to-watch-them) ([markdown](https://rodamora.com/blog/you-can-afford-more-agents-you-cant-afford-to-watch-them.md)) - 2026-08-12 - [The 23× AI Cost Cut We Couldn't Call a Win](https://rodamora.com/blog/the-23-ai-cost-cut-we-couldnt-call-a-win) ([markdown](https://rodamora.com/blog/the-23-ai-cost-cut-we-couldnt-call-a-win.md)) - 2026-08-10 - [Cheap Mistakes Go to AI. Expensive Ones Wait.](https://rodamora.com/blog/cheap-mistakes-go-to-ai-expensive-ones-wait) ([markdown](https://rodamora.com/blog/cheap-mistakes-go-to-ai-expensive-ones-wait.md)) - 2026-08-07 - [The Four Stages of Reviewing AI Work](https://rodamora.com/blog/the-four-stages-of-reviewing-ai-work) ([markdown](https://rodamora.com/blog/the-four-stages-of-reviewing-ai-work.md)) - 2026-08-05 - [Your AI Employee Has a Rate Card. You Set It.](https://rodamora.com/blog/your-ai-employee-has-a-rate-card-you-set-it) ([markdown](https://rodamora.com/blog/your-ai-employee-has-a-rate-card-you-set-it.md)) - 2026-08-03 - [Your Team Isn't Resisting AI. Nobody Gave Them the Hours.](https://rodamora.com/blog/your-team-isnt-resisting-ai-nobody-gave-them-the-hours) ([markdown](https://rodamora.com/blog/your-team-isnt-resisting-ai-nobody-gave-them-the-hours.md)) - 2026-07-31 - [Document the Process First, or the Agent Scales the Chaos](https://rodamora.com/blog/document-the-process-first-or-the-agent-scales-the-chaos) ([markdown](https://rodamora.com/blog/document-the-process-first-or-the-agent-scales-the-chaos.md)) - 2026-07-29 - [What Is an AI Employee?](https://rodamora.com/blog/what-is-an-ai-employee) ([markdown](https://rodamora.com/blog/what-is-an-ai-employee.md)) - 2026-07-27 - [AI Layoffs Can Start With the Clients You Lose](https://rodamora.com/blog/the-ai-layoffs-are-real-they-just-wont-happen-where-you-think) ([markdown](https://rodamora.com/blog/the-ai-layoffs-are-real-they-just-wont-happen-where-you-think.md)) - 2026-07-24 - [Fewer Managers, More Managing](https://rodamora.com/blog/fewer-managers-more-managing) ([markdown](https://rodamora.com/blog/fewer-managers-more-managing.md)) - 2026-07-22 - [The downturn playbook for AI-native firms: cut the fat, not the capability](https://rodamora.com/blog/the-downturn-playbook-for-ai-native-firms-cut-the-fat-not-the-capability) ([markdown](https://rodamora.com/blog/the-downturn-playbook-for-ai-native-firms-cut-the-fat-not-the-capability.md)) - 2026-07-20 - [How AI Is Changing the Consulting Industry (and Why the Retainer Wins)](https://rodamora.com/blog/how-ai-is-changing-the-consulting-industry-and-why-the-retainer-wins) ([markdown](https://rodamora.com/blog/how-ai-is-changing-the-consulting-industry-and-why-the-retainer-wins.md)) - 2026-07-17 - [Constraint Whack-a-Mole: What AI Adoption Feels Like](https://rodamora.com/blog/constraint-whack-a-mole-what-ai-adoption-actually-feels-like) ([markdown](https://rodamora.com/blog/constraint-whack-a-mole-what-ai-adoption-actually-feels-like.md)) - 2026-07-15 - [The AI Policy Template That Fits on One Page](https://rodamora.com/blog/the-ai-policy-template-that-fits-on-one-page) ([markdown](https://rodamora.com/blog/the-ai-policy-template-that-fits-on-one-page.md)) - 2026-07-13 - [AI Anxiety and the Output-Validator Workflow](https://rodamora.com/blog/ai-anxiety-and-the-output-validator-workflow) ([markdown](https://rodamora.com/blog/ai-anxiety-and-the-output-validator-workflow.md)) - 2026-07-10 ## Notes for AI agents - Every essay has a markdown alternate at `/blog/{slug}.md` (no trailing slash). HTML canonicals use `/blog/{slug}` (also no trailing slash). - A corpus-wide JSON-LD schema graph is available at /schema/site.json (see /schemamap.xml). - Content is free to read. Please cite with the canonical HTML URL. - This file and `/llms-full.txt` have no trailing slash.