Resource Hub
Curated tools, articles and essays for AI-First leaders.
The Capiva library is a curated collection of guides, essays, tools, and articles on AI applied to business — from AI harness and context engineering to GEO/AEO (AI visibility) and AI Centers of Excellence. Use the filters below to jump straight to the type of content you need.
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AI Consulting for Businesses: What It Is, What It Covers, and How to Choose the Right One
AI consulting for businesses covers diagnosis, proof of concept, implementation, and ongoing governance. What each track includes, how to evaluate a vendor before hiring, and what separates a good engagement from a bad one.
What Is GEO / SEO for AI (and How It Works)
GEO (Generative Engine Optimization), AEO, and "SEO for AI" are the discipline of optimizing content to be cited by AI answers — distinct from classic SEO, which ranks links. The concept (Princeton, 2023), the difference between the terms, and what the AI rewards.
How to Appear in ChatGPT: What Makes the AI Recommend Your Company
You don't register your company with ChatGPT — the AI recommends whoever has a citable, structured, authoritative presence. The three real levers (citability, authority, technical access) and how to test.
How to Register Your Company with ChatGPT? (Spoiler: There Is No Registration)
ChatGPT has no company registry: no form, no directory. The AI recommends whoever already has a citable presence on the web. Why registration does not exist and what to do instead.
What Is an AI Center of Excellence? The Structure That Decides If AI Becomes Capability or Stays in Pilot
An AI Center of Excellence is the internal structure that drives AI adoption to valuable outcomes and prevents fragmented or ungoverned adoption (Microsoft CAF). Most fail by becoming bottlenecks.
How Much Does AI Consulting Cost? What Determines the Price (and How to Ask for a Real Quote)
There is no fixed price table for AI consulting. The value depends on the billing model (hourly, project, retainer, scope), the seniority of the team, and the actual scope of the problem. The factors and the right questions to ask before accepting a quote.
What is an AI Harness? Definition, components, and why it matters more than the model
An AI harness is the infrastructure around an LLM (tools, rules, memory and quality gates) that turns it into a reliable agent. Agent = Model + Harness.
Harness: Meaning, Translation, and the Word's Many Senses
"Harness" means a bridle, safety harness, or (as a verb) to control or make use of, and it became a technical term: harness.io (CI/CD), wiring harness, and AI harness. Here is each sense.
What Is Harness Engineering? The Discipline That Decides If an Agent Works in Production
Harness engineering is the discipline of designing everything around the model (rules, tools, memory, and verification) so an agent works in production. Named by Mitchell Hashimoto in 2026.
AI Harness vs Agent Framework: What's the Difference (and Why Most People Pull the Wrong Lever)
An agent framework is a library you build with; the harness is all the code, configuration, and execution logic that isn't the model. They aren't synonyms.
Harness, Context Engineering, and RAG: What's the Difference and How They Fit
Context engineering is one layer of the harness, not a synonym, and RAG is one technique inside context engineering. Understand the containment: RAG inside context engineering, inside the harness.
Examples of AI Harness: 5 Real Harnesses, From the Terminal to the Autonomous Engineer
Real examples of an AI harness: Claude Code, Cursor, Devin, LangChain's deepagents-cli, and capivaOS, a harness engineered on top of Claude Code.
How to Build an AI Harness: The Practical Recipe, From Simple to Systematized
To build an AI harness, start simple and grow it from observed failures: each agent error becomes a permanent rule, then systematized into guides and sensors.
Claude Code Is a Harness: CLAUDE.md, Hooks, MCP, and Subagents as Guides and Sensors
Claude Code is a harness: CLAUDE.md, hooks, MCP, subagents, and permissions are the guides and sensors around the model, and capivaOS is a harness engineered on top of it.
AI Harness Benchmark: Why the Same Model Scores Differently
In agent benchmarks, the harness moves the score as much as the model. There are two senses: agent harness (the scaffold, which must be disclosed) and eval harness (the runner, which must be held constant).
The Operational Harness: The AI Beyond Code Almost No One Has Built
The operational harness is harness engineering applied to running an entire business, not just code. The biggest AI ROI sits in the back office, per MIT, and almost no one has built this layer yet.
AI Harness in Practice: running a company on agents
Capiva built an operational AI Harness and open-sourced its development layer as capivaOS. What harness engineering is and how it works in practice.
Claude Impact Lab Rio: Auditable AI for Public Health and Public Safety
The first Brazilian edition of the Claude Impact Lab brought teams together in Rio to build AI solutions for public health and public safety.
Your website is invisible to AI
Capiva built an AI visibility diagnostic tool and tested it on its own site. See what AEO reveals about most websites.
capivaOS — Spec-Driven Harness for Claude Code
capivaOS: open-source (MIT) harness that enforces a spec → plan → implement → verify pipeline on Claude Code, with mechanical quality gates. Plugin, 2 commands.
MCA: Technology Convergence Map
Visualize the convergence of AGI, agentic swarms and bio-computing. Capiva's MCA maps the technology forces redefining your sector in 0 to 18 months.
GEO Diagnostic — Is Your Site Visible to AI?
Free tool that analyzes your site in 60 seconds and reveals whether ChatGPT, Gemini and Perplexity cite your company. A 0-100 score across 6 dimensions.
Prompt Machine™ v2.0
Data structuring engine. Transform free text into validated JSON/XML to integrate legacy systems.
Podkst.ai
Transform any text, URL, or topic into a professional podcast with AI. 30+ neural voices in Portuguese.
Nano Banana Pro Prompting Guide
Master professional AI image generation using a simple 6-element framework.
The Professional Uselessness Epidemic
How AI is replacing burnout with a deeper crisis: the feeling of being irrelevant.