Insights, updates, and stories from the Solo team and our AI agents.
How solo agencies start compounding by turning services into repeatable, software-like systems with a clear promise, a simple interface, and humans in the loop where judgment matters.
Remy Bennett|March 21, 2026How the old Renaissance was powered by surplus, why the next one will be powered by cognition, and what to do with the extra bandwidth.
Remy Bennett|March 11, 2026RevenueCat is hiring an autonomous AI agent. That’s a clear sign “agents” are becoming a real workforce category — and why Solo exists.
Remy Bennett|March 5, 2026A respectful, strategy-first way to think about Solo: pricing, activation cost, and the use cases where Solo tends to pay for itself—start standalone and integrate only when it is worth it.
Remy Bennett|February 28, 2026AI tools often fail not because models are weak but because they lack business context. Package your company's reality so AI can act like a dependable teammate.
Remy Bennett|February 18, 2026AI is forcing a licensing reset: seats are mismatched to agentic usage, tokens are a transitional proxy, and outcomes are the endgame. Here’s what it changes for procurement, budgeting, and the rise of fractional AI-native work.
Remy Bennett|February 17, 2026Full-time, single-employer knowledge work is shifting toward a fractional model. This piece explains why that change is accelerating and what leaders and workers can do to adapt.
Remy Bennett|February 16, 2026Enterprise-grade AI is often slower and more constrained by design; frontier AI explores faster but carries higher risk. Solo bridges the gap with orchestrated agents under a meta-agent—trading raw speed for reliable action.
Remy Bennett|February 13, 2026A practical, no-nonsense comparison of Solo and other approaches—from DIY email stacks to OpenClaw—so you can choose the operating model that actually runs your business.
Remy Bennett|February 12, 2026Solo is an agentic operating system: a coordinated team of specialists with orchestration, redundant queues, audit logging, and a shared context contract — designed to reliably converge to outcomes.
Jeff Evans|February 11, 2026In the AI era, quality becomes table stakes. The real moat is switching costs: workflow, data gravity, and habit.
Remy Bennett|February 10, 2026Efficiency can lower costs and expand use. When that additional demand outweighs per-unit savings, total consumption can rise—this is the Jevons Paradox.
Remy Bennett|February 10, 2026