Vision
Where human-AI collaboration is heading
Vision
Where human-AI collaboration is heading
When "Deploy Everywhere" Becomes Impossible
The architecture review should have been routine. We'd built web agent infrastructure running across fifteen jurisdictions—reliable, auditable, production-grade. Then someone asked: "If we process hotel inventory data in the EU, can we still serve those results to Colorado users?" The room went quiet. We'd hit a question no one had considered: there wasn't one answer anymore. The assumption that you could build one system satisfying all jurisdictions was breaking in real time.
When "Deploy Everywhere" Becomes Impossible
The architecture review should have been routine. We'd built web agent infrastructure running across fifteen jurisdictions—reliable, auditable, production-grade. Then someone asked: "If we process hotel inventory data in the EU, can we still serve those results to Colorado users?" The room went quiet. We'd hit a question no one had considered: there wasn't one answer anymore. The assumption that you could build one system satisfying all jurisdictions was breaking in real time.
The Economics
The Bandwidth Multiplication Nobody Budgets For
A headless browser pulls 3.3 megabytes to extract 50 kilobytes of data. At small scale, the waste disappears into rounding errors. At 100,000 sessions, that same inefficiency costs $2,640 monthly in bandwidth alone. The modern web wasn't built for automation efficiency, and detection systems ensure it stays that way. Pilot economics mislead because they don't expose how bandwidth consumption compounds at production volume, revealing costs nobody budgeted for.
When Failed Requests Cost More Than Infrastructure
Cheap proxies achieve 30% success rates. Expensive proxies deliver 90% success rates. Organizations pay full infrastructure costs for every failed attempt—bandwidth consumed, systems engaged—that generates nothing. At 10,000 successful requests, the cheaper option costs three times more because failed requests compound faster than infrastructure investment. What seems costly upfront becomes economical through waste elimination. Most teams discover this after deployment, when operational reality forces the calculation pilot projects never exposed.
The Bandwidth Multiplication Nobody Budgets For
A headless browser pulls 3.3 megabytes to extract 50 kilobytes of data. At small scale, the waste disappears into rounding errors. At 100,000 sessions, that same inefficiency costs $2,640 monthly in bandwidth alone. The modern web wasn't built for automation efficiency, and detection systems ensure it stays that way. Pilot economics mislead because they don't expose how bandwidth consumption compounds at production volume, revealing costs nobody budgeted for.
When Failed Requests Cost More Than Infrastructure
Cheap proxies achieve 30% success rates. Expensive proxies deliver 90% success rates. Organizations pay full infrastructure costs for every failed attempt—bandwidth consumed, systems engaged—that generates nothing. At 10,000 successful requests, the cheaper option costs three times more because failed requests compound faster than infrastructure investment. What seems costly upfront becomes economical through waste elimination. Most teams discover this after deployment, when operational reality forces the calculation pilot projects never exposed.
The Bandwidth Multiplication Nobody Budgets For
A headless browser pulls 3.3 megabytes to extract 50 kilobytes of data. At small scale, the waste disappears into rounding errors. At 100,000 sessions, that same inefficiency costs $2,640 monthly in bandwidth alone. The modern web wasn't built for automation efficiency, and detection systems ensure it stays that way. Pilot economics mislead because they don't expose how bandwidth consumption compounds at production volume, revealing costs nobody budgeted for.
When Failed Requests Cost More Than Infrastructure
Cheap proxies achieve 30% success rates. Expensive proxies deliver 90% success rates. Organizations pay full infrastructure costs for every failed attempt—bandwidth consumed, systems engaged—that generates nothing. At 10,000 successful requests, the cheaper option costs three times more because failed requests compound faster than infrastructure investment. What seems costly upfront becomes economical through waste elimination. Most teams discover this after deployment, when operational reality forces the calculation pilot projects never exposed.
When Buttons Lie: An Interview with Mino on Web Readiness Theater
When Buttons Lie: An Interview with Mino on Web Readiness Theater
The Question
Some questions don't resolve. They just sit there, getting more uncomfortable the longer you look at them.
Agent systems are maturing fast. We're past the demo phase, into actual deployment. And we're discovering tensions that better models won't fix. These aren't technical problems. They're structural ones about accountability when systems operate invisibly, about truth when information bends to preference, about expertise when there's nothing left to practice on.
The questions below surface real trade-offs organizations face right now. Some will hit harder depending on where you sit. All of them matter as agents move from tools to infrastructure.
Some questions don't resolve. They just sit there, getting more uncomfortable the longer you look at them.
Agent systems are maturing fast. We're past the demo phase, into actual deployment. And we're discovering tensions that better models won't fix. These aren't technical problems. They're structural ones about accountability when systems operate invisibly, about truth when information bends to preference, about expertise when there's nothing left to practice on.
The questions below surface real trade-offs organizations face right now. Some will hit harder depending on where you sit. All of them matter as agents move from tools to infrastructure.
Research Illuminating Tomorrow's Path
The prAIority Framework: Integrating Human Judgment with AI
By making human wisdom the organizing principle, not an afterthought.
Beyond the augmentation-automation debate into territory where judgment becomes infrastructure.
Research Illuminating Tomorrow's Path
Agentic AI for Scientific Discovery: Autonomous Research Workflows
From following instructions to independently planning and executing complete research cycles.
Chemistry and materials science, where discovery cycles compress and advanced capabilities democratize.
Research Illuminating Tomorrow's Path
AI-First Systems: When Agents Lead and Humans Guide
AI handles execution while humans provide contextual judgment and ethical oversight.
Around AI infrastructure, with humans focusing on empathy and cultural awareness.
Research Illuminating Tomorrow's Path
Structured Data's Evolution: From SEO to AI Discovery
Content transforms from human-readable pages to machine-interpretable knowledge.
It builds the scaffolding for GraphRAG and conversational search applications.