Resources
Practical guides on AI and automation, Odoo, custom software and getting found online.
Automation Playbook: 43 everyday problems, and how automation solves them
Eight teams, 43 real problems, written in plain English: what happens today, what changes with automation, and what your business gets out of it.
Do Google Reviews Bring in More Customers?
Google reviews affect where you rank, whether customers choose you and what AI tools say about you. What the 2026 data shows, and where to start.
AI Agents 101: How They Work, When to Use Them, and What It Takes to Build Them Well
A practical guide to agentic AI, from simple workflows to production-ready systems. What agents are, when to use them, how to build them, and what it takes to run them in production.
Claude AI for Business: The 6-Stage Workflow Guide
Most teams use Claude as a chatbot. High-performing teams build a workflow system. The complete 6-stage guide for business leaders — Projects, Skills, Connectors, Cowork, Code.
Building a Multi-Agent Prospecting System: What We Learned in Production
A practitioner account of building, breaking, and hardening a multi-agent AI system for outbound sales prospecting — deployed in Lyzr, refined through seven passes over six weeks.
AI Agent System for Outbound Sales Prospecting
An AI agent system for outbound sales prospecting handles account research, contact discovery, lead scoring, and outreach drafting — while keeping humans in control.
Why Single Agents Fail in Production
Gartner predicts 40% of agentic AI projects will be cancelled by 2027. The problem isn't weak models—it's that single agents cannot survive real enterprise workflows.
Enterprise AI Is an Architecture Problem, Not a Model Problem
The hard part of enterprise AI isn't the model. It's everything between the model and the business outcome. Why orchestration layers are becoming essential for production AI.