Everything we've built to help you understand and deploy AI.
Free tools, industry playbooks, our AI Forward Framework, weekly Field Notes, pillar articles, case studies, and ongoing research on responsible AI — all in one place. Built by operators, for operators.
Reference utilities for AI evaluation.
Six free utilities to help teams evaluate models, estimate costs, find the right MCPs, plan team-scale AI spend, and compare AI subscriptions. Built to be useful before you spend a dollar.
MCP Directory
50 Model Context Protocol servers organized across 10 categories. Browse by use case, vendor, or integration depth.
Claude Skills Library
30 production-ready Claude skills plus 5 curated Skill Packs for revenue recovery, CRM truth, analytics, and Shopify ops.
LLM Cost Calculator
Compare per-million-token pricing across 100 LLMs from 10 providers. Filter by capability, context window, or modality.
AI Subscriptions
Side-by-side comparison of 29 AI subscription plans across 10 major providers — features, limits, and pricing tiers.
AI Model Leaderboards
70 models ranked across 7 modalities — text, code, reasoning, image, video, voice, and multimodal. Curated, not auto-fed.
Team Usage Calculator
Estimate team-level AI spend across 10 common workflows. Compare seat subscriptions vs. direct API access for your team size.
What teams are actually building, by industry.
Ten industry playbooks documenting the top AI agent workflows teams are deploying right now. Real workflows, named tools, and the maturity ladder from pilot to production.
Our methodology, free for any team to use.
Eight pillars of AI deployment, organized around the work that actually has to happen: mindset, operations, orchestration, tech stack, data, governance, economics, and visibility. Published openly so any team can apply it.
Weekly notes from the front lines.
A Founder's perspectives on AI deployment and the future of work. Keep up with the latest AI news, funding moves, and agentic AI strategies — every week.
What It Costs to Upskill a Workforce on AI in 2026
AI training budgets in 2026 run from $800 to $3,500 per employee — but most fail to deliver because they fund the tools without funding the time, the practice, or the workflow-specific scenarios.
Read note →Field Notes from the Frontlines of the AI Agent Wars + the SaaSpocalypse
Adoption is no longer the hard part. The 2026 turning points: funding flows, the race for compute, MCP rising, and what the SaaSpocalypse discussions are glossing over.
Read note →Why We Built the AI Forward Framework
The orchestration thesis behind the framework: agentic AI matures into infrastructure or collapses into incidents based on the discipline of the system around it.
Read note →Pillar content & deep dives.
Eleven pillar articles on the core domains we work in — Agent Operating Systems, AEO, the AI Forward Framework, readiness, training, custom deployments, and more. Plus weekly articles on emerging topics.
Agent Operating Systems: Beyond Agents, Toward Production
The architectural shift from one-off agents to full Agent Operating Systems — what changes when you treat agents as infrastructure, not features. The pillar piece on AI ARMY's core thesis.
Answer Engine Optimization
Why brands need to be cited by AI, not just ranked by Google.
The AI Forward Framework
Methodology for moving from fragmented experimentation to operations.
AI Readiness
The 5 dimensions every org should assess before deploying AI.
AI Training & Enablement
Why most workforce training fails — and what works.
Custom AI Deployments
When off-the-shelf isn't enough — building for your stack.
AI-Powered Workflows
Connecting agents to the tools your team already uses.
Real problems. Real outcomes.
Nine scenarios across AI tools, automations, RevOps, and data infrastructure — each one built from actual client engagements. Same problems, real numbers.
Lead follow-up on autopilot
Multi-channel sequence fires within 90 seconds of form submit — no rep required.
Internal AI assistant on your knowledge base
Custom AI assistant trained on internal docs, SOPs, and product knowledge. Answers in seconds.
HubSpot instance rebuilt in 30 days
Clean CRM, working pipeline, attribution tracking, and team trained — under one month.
Researching Responsible AI: Humane AI Reasoning + Accountable Agent Architecture.
A cross-domain research program on the structural conditions that make agentic AI claims and actions valid over time. Capability without accountability is power without balance.
Luna Runtime Governance.
The runtime governance bridge for agentic AI. Luna translates accountability requirements into operational mechanisms that govern how agents reason, remember, use tools, and act in deployed environments. Where autonomy and accountability scale together.
Read the Research →