Nimrobo guides
Choose AI agents by how they act, measure, and stay under control.
Practical buyer and operator guides for teams that need more than an agent demo: a bounded action, reviewable evidence, and a result tied to a real metric.
Available guides
Commercial strategy guide
Pay-for-performance SEO vs agency retainers: the outcome model
How autonomous AI Outcome Deals replace opaque monthly retainers with guaranteed Google Search clicks, server-side settlement, and prorated refunds.
Architecture guide
AI agent feedback loops: architecting autonomous outcome systems
How to design closed feedback loops that connect real-world actions to measured results, prevent reward drift, and enable AI agents to compound performance over time.
Buyer's guide
Autonomous AI agent platforms: how to choose for business outcomes
Compare execution models, tool permissions, approval gates, data boundaries, evidence, and recovery before choosing a platform for autonomous work.
Measured conversion guide
Landing page optimization: a measured experiment playbook
Diagnose what is preventing a real conversion, change one thing that could fix it, and keep the evidence needed to decide what happens next.
Measured experiment guide
Landing page A/B testing: plan a test you can learn from
Define one hypothesis, a primary metric, a guardrail, and a decision rule before traffic is split, so the result is interpretable either way.