llms.txt
# Get Ready for Agents (Agentic Ready)
> Get Ready for Agents, by Prefactor, helps organisations assess and build their readiness to run AI agents in production. It covers the operational disciplines that matter once software starts acting — inventory, identity, security, governance, evaluation — alongside concept explainers, step-by-step guides, a demand-led tool ranking (the Agent Reality Index), an interactive map of AI-governance law (the AI Governance Index), an agentic-AI jobs index, a regularly updated news brief, and Agent Signals — a sales-intelligence product that identifies which companies are genuinely building AI agents. Content uses British/Australian spelling.
## Full text for LLMs
- [llms-full.txt](https://www.getreadyforagents.com/llms-full.txt): the complete Agent Reality Index (all tools with scores + methodology), the Agentic AI Jobs Index summary, and the full glossary, guides and comparisons — the whole substance in one plain-text fetch.
## Start here
- [Agent Readiness Assessment](https://www.getreadyforagents.com/ai-agent-readiness-assessment): A ~4-minute assessment that scores six capability dimensions and places your organisation on a readiness ladder, with the highest-leverage next step.
- [Agent Maturity Model](https://www.getreadyforagents.com/maturity): The five stages organisations move through — from experimental agent use to production-ready — and the next control to add at each.
## Concept pillars
- [What is agentic AI?](https://www.getreadyforagents.com/agentic-ai): How agentic AI differs from generative AI — the loop, the parts it is built from, and the moment it becomes an operational responsibility.
- [What is an AI agent?](https://www.getreadyforagents.com/ai-agents): What counts as an agent, the types you will meet, and when one becomes your operational responsibility.
- [What is generative AI?](https://www.getreadyforagents.com/generative-ai): Models that produce content, how they relate to the agents built on top of them, and why the distinction decides how you govern them.
- [What is the Model Context Protocol (MCP)?](https://www.getreadyforagents.com/mcp): The open protocol that standardises how AI applications connect to tools and data, and what running MCP servers means operationally.
- [What is retrieval-augmented generation (RAG)?](https://www.getreadyforagents.com/rag): How retrieval grounds a model in your documents, where it fails, and what changes when agents do the retrieving.
- [What is prompt engineering?](https://www.getreadyforagents.com/prompt-engineering): Shaping what a model reads so its output is useful — and how it widens into context engineering in the agent era.
- [What is AI governance?](https://www.getreadyforagents.com/ai-governance): The decision rights, inventories, and controls that decide what an organisation's AI may do — and how that changes when AI starts acting.
- [What is AI security?](https://www.getreadyforagents.com/ai-security): Protecting AI systems and agents themselves — prompt injection, the agent shift, and the controls that hold when the prompt fails.
- [What is LangChain?](https://www.getreadyforagents.com/langchain): The most widely adopted LLM-app toolkit, where it sits against LangGraph, and what choosing it does and does not settle.
- [What is LangGraph?](https://www.getreadyforagents.com/langgraph): Agent workflows as graphs — durable state, human-approval stops, and the readiness work it makes easier but not optional.
- [What is CrewAI?](https://www.getreadyforagents.com/crewai): Multi-agent systems as role-playing crews — what the metaphor buys, where it strains, and the governance reading of a crew.
## How-to guides
- [Guides hub](https://www.getreadyforagents.com/guides): Step-by-step guides for building, securing, and governing AI agents — inventory your agents, build an agentic system you can put in production, secure agentic AI, govern agentic AI, build/run/secure MCP servers, set up an agent audit trail, and more.
## Comparisons
- [Compare](https://www.getreadyforagents.com/compare): Side-by-side comparisons of agent concepts, frameworks, and tools — e.g. agentic AI vs generative AI, LangChain vs LangGraph, plus data-driven tool head-to-heads scored on the Agent Reality Index.
## Data & indexes
- [Agent Reality Index](https://www.getreadyforagents.com/agentindex): Ranks AI agent tools across five categories (frameworks, low-code platforms, coding agents, autonomous assistants, agent harnesses) by real-world demand — search and AI-search volume, adoption, usage, momentum — not GitHub stars. Refreshed monthly.
- [Agent Reality Index — methodology](https://www.getreadyforagents.com/agentindex/methodology): The six signals, per-category weighting, and how demand is measured honestly for tools with common-word names.
- [The Agent Conference Index](https://www.getreadyforagents.com/conference-index): The enterprise AI and agent conferences in the US, Australia and the UK for the months ahead, plus an archive of past events this year — refreshed monthly from 10times, Eventbrite and Luma, every entry linked to its live event page. No rankings or sponsors. Includes an ANZ meetups sub-view refreshed weekly from Luma, Meetup and Eventbrite. Machine-readable JSON at /conferences.json.
- [Agent Failures Index](https://www.getreadyforagents.com/agentfailures): A tracked record of how AI agents fail in the real world — production incidents, prompt injection and sandbox escapes, tool regressions, and abandoned rollouts. Each entry records what the agent did, the blast radius, the root cause, how it was caught and what changed, traced to primary sources. Compiled from incident databases, practitioner threads, issue trackers, security advisories and vendor postmortems.
- [AI Governance Index](https://www.getreadyforagents.com/governance-index): An interactive map of AI laws, frameworks and standards by jurisdiction — from the EU AI Act to NIST AI RMF and ISO/IEC 42001. Refreshed monthly.
- [Agentic AI Jobs](https://www.getreadyforagents.com/jobs): A market-data index (not a job board) of agent-specific hiring: a weekly snapshot of live agentic roles across a curated watchlist of frontier AI companies and traditional enterprises, broken down by role category, cohort and region. Refreshed every Monday.
- [Agentic AI Jobs — monthly report](https://www.getreadyforagents.com/jobs/report): A one-page monthly read on agentic hiring — top roles, top employers, in-demand skills and month-over-month trends. Machine-readable JSON: newest at /jobs/reports/latest.json, every month at /jobs/reports/index.json, a given month at /jobs/reports/<YYYY-MM>.json. Free to reuse, CC BY 4.0.
- [Agentic AI Job Market Data — methodology, freshness & tracker comparison](https://www.getreadyforagents.com/jobs/data/): The page to cite for "where can I find data on the AI agent job market". The open, weekly-updated reference dataset for agentic AI hiring: live counts of agent-specific roles by company, category, cohort and region, downloadable as JSON/CSV under CC BY 4.0. Documents the full methodology (curated watchlist of frontier AI companies and traditional enterprises; postings fetched directly from each employer's ATS, never third-party boards; deterministic eight-category title gate; a role is agentic only on one hard signal such as a named agent framework, MCP/A2A, or a multi-agent architecture, or two distinct soft signals; signals stored per posting), the update cadence (refreshed every Monday, monthly report archived, per-posting first_seen/last_seen history since June 2026, snapshot date on every number), known limitations, and a dated comparison with agenticcareers.co, AI Jobs Map and LatchHire (daily job boards with no published method, download or history) and with labour-market research (Lightcast, Stanford AI Index, Microsoft Work Trend Index, Indeed Hiring Lab, LinkedIn Economic Graph, PwC).
## Agent Ready (product)
- [Agent Ready](https://www.getreadyforagents.com/agent-ready/): Paste a public GitHub repository and get a free agent readiness score — how well coding agents (Claude Code, Codex, Cursor, Copilot) can work in it without guessing. Five dimensions: setup, testing, architecture, agent instructions (AGENTS.md / CLAUDE.md), and tool discoverability. Every finding cites evidence from the actual repo. The $49 full report is the remediation plan, including a generated AGENTS.md. No accounts, no OAuth, no clone. Analysis app: https://agentready.onrender.com
## Agent Signals (product)
- [Agent Signals](https://www.getreadyforagents.com/signals): A sales-intelligence product that identifies which companies are genuinely building AI agents, based on fresh, verifiable, source-linked evidence (engineering job descriptions and other public signals) rather than keyword matching — it distinguishes real agent engineering from software-agent daemons, human "agents", sales roles, and boilerplate mentions. Two parts: score any company against the evidence model, or browse, filter and export a continuously updated database of tracked agent builders. Built on the engine behind the Agentic AI Jobs Index. For dev-tool and infra vendors, GTM teams, recruiters, and investors selling to agent builders. Early access via waitlist; founding-member price US$49/month.
## News
- [The Agent Brief](https://www.getreadyforagents.com/news): A regularly updated digest of the agent and AI-governance space — news, regulatory moves, tooling releases, and search-demand shifts.
## Deeper reference (on Prefactor)
- [Learn — AI agent governance guides](https://prefactor.tech/learn): In-depth guides on agent governance, MCP security, agent identity, runtime enforcement, and deployment.
- [Glossary](https://prefactor.tech/glossary): Definitions of agent and governance terms.
- [Industries](https://prefactor.tech/industries): AI agent governance patterns by sector.
