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Audit your team's agentic AI readiness across 100 points spanning infra, governance, data, ops, and skills with severity ranking and remediation paths.

Build a workspace-scoped Slack bot that streams Claude responses to threads, uses Block Kit, and runs on Vercel Functions. Full deploy pipeline inside.

Build a production AI chatbot on Next.js 16 with Vercel AI SDK 6 — streaming, tool calls, multi-provider routing, and a complete UI scaffold inside.

Build a Zoho CRM to Supabase Postgres sync agent with incremental updates, schema mapping, and a Vercel cron trigger. Production-ready code included.

Wire OpenAI Codex into CI to generate Jest tests for new functions on every PR. Scripted prompts, diff parsing, and a PR-comment bot included.

Build a Claude Skill end-to-end: SKILL.md, scripts, references, allowed-tools, and ship as a project or user slash command. Working example included.

Build an agentic crawler that audits a site for SEO issues using Claude Code subagents, Playwright, and a structured findings report. Full repo inside.

Build a self-hosted retrieval-augmented chatbot: pgvector schema, embedding pipeline, semantic search, and a streaming Next.js answer endpoint inside.

Build a CLI that reads your staged diff and generates conventional-commits messages with Claude Haiku 4.5. Bash hooks, prompt design, CI wiring inside.

Build a working MCP server in TypeScript: tool registration, JSON-RPC handlers, Claude Desktop integration, and a publishable npm package end-to-end.

Build a working Claude Code subagent from .claude/agents/ markdown to first invocation. Tool restrictions, system prompt design, orchestration patterns.

Agentic AI as the catalyst for agency M&A — six deal patterns, four target archetypes, and the financial mechanics making 2026–2027 a roll-up wave.

When AI answers cannibalize 40% of organic clicks — exposure-curve modeling using AIO rollout, Perplexity growth, ChatGPT search adoption. Three scenarios.

Thirty H2 2026 predictions on agent capabilities, MCP adoption, agency labor shifts, ad-tech disruption, and enterprise deployment. Confidence rating + sources.

200 agentic AI terms — agents, MCP, memory, planning, evaluation, governance. Examples, source links, cross-references. The reference glossary.

150 GEO terms — visibility, citation, embedding, retrieval, llms.txt, AGENTS.md, AI search audit. With definitions, examples, and source-paper references.

120 MCP terms — server, transport, primitive, sampling, prompt, tool, resource, agent loop, governance. The plain-language MCP reference guide.

GEO, AEO, RAG, CRAG, MoE, MCP, ICL, CoT, ReAct, RLHF, DPO, ORPO — 250+ AI marketing acronyms decoded with examples and source citations. Definitive reference.

Definitions for embeddings, ANN indexes, distance metrics, hybrid search, and reranking, with source references and a worked retrieval evaluation example.

Fifty prompt patterns by task type — extraction, transformation, classification, reasoning, agent loops. With model-specific notes and reusable templates.

100 AI governance terms — EU AI Act, NIST AI RMF, ISO 42001, OECD, US state rules. Practical glossary for legal, compliance, and risk teams.

ReAct, Reflexion, plan-execute, multi-agent debate, swarm, hierarchy, blackboard, graph-orchestrated patterns. Reference architectures + trade-offs.

Eighty AI eval metrics — quality (BLEU, ROUGE, BERTScore), agentic (success rate, tool accuracy), safety, fairness, RAG (faithfulness). Defined.

Tokens, prefill, decode, KV cache, prefix cache, batch tier, reserved capacity, context-window discount — every LLM billing term, defined.