Practical writing for AI work that survives contact with operations.
Evergreen guides on choosing workflows, mapping integrations, evaluating risk, and shipping AI systems your team can actually run after the demo is over.
Built for operators, founders, and technical teams deciding what to automate first.
AI Implementation8 min readUpdated June 9, 2026
Production AI implementation plan: the 30-day path from experiment to workflow.
A practical rollout plan for choosing the first workflow, mapping source systems and risk, building a controlled version, and deciding whether to sprint, build out, or clean up first.
AI marketing operations: what to automate before you add another tool.
A practical guide to automating lead capture intake, campaign prep, reporting, and internal handoffs without creating worse attribution, messy routing, or fake productivity.
Starling: the Purple Orange Operations Engine for content, PR, revenue, and distribution.
A preview of Starling, the operations engine we are preparing for client workflows across social performance, PR outreach, content creation, revenue tracking, and multi-project distribution.
Codex role-specific plugins: AI is moving from chat box to operating layer.
OpenAI's new Codex plugins package apps, skills, instructions, and workflows for specific roles. The real shift is not more plugins. It is AI starting with the work shape.
Sales Infrastructure7 min readUpdated June 2, 2026
AI sales automation infrastructure: what to build before you let agents run outbound.
A practical guide to approvals, context, CRM policy, MCP access, and evaluation before outbound agents create spam, duplicate touches, or fake pipeline.
AI lead qualification: what to automate before you hire more SDRs.
A practical guide to automating enrichment, routing, transcript capture, and follow-up prep without turning qualification into a black box or spam machine.
AI CRM automation: what to fix before you let AI touch your pipeline.
A practical guide to automating lead intake, enrichment, routing, follow-up prep, and pipeline hygiene without creating faster bad data or bad outbound.
Purple Orange Stack Launch: Operator-Led Software Reviews for the AI Era
The software review internet is broken. Purple Orange Stack is our operator-led research layer for AI tools, SaaS, sales tech, marketing tech, productivity, and automation stacks.
AI Automation Agency: How to Choose a Partner That Ships Real Workflows
A commercial-intent guide for buyers comparing AI automation services, consultants, and workflow builders. Use it to filter for real integrations, human review, logs, handoff, and proof.
AI Agents for Business Operations: Where They Actually Work
A practical guide to AI agents for business operations: lead intake, reporting, support triage, CRM prep, document intake, human approval, and when not to use agents.
Violema is our proprietary AI coworker platform for recurring research, execution support, and workflow automation patterns. The controlled beta opens June 1 with real workflows and human control.
AI Automation Sprint: What a Two-Week Build Should Actually Ship
A practical guide to scoping and judging a two-week AI workflow sprint: what should ship, what should stay human-reviewed, and when a sprint is the wrong move.
AI Workflow Audit Checklist: How to Find the First Workflow Worth Automating
Before you buy tools, hire an AI engineer, or ask an agent to touch customer data, run this audit. It helps separate workflows that can ship in a focused sprint from workflows that need cleanup first.
Bring one workflow that is slowing the team down. We will map the inputs, tools, risks, and likely build path, then tell you plainly whether it is worth automating now.