From the field
What we learn building AI agents in production
Deployment metrics, architecture decisions, and honest post-mortems from running multi-agent systems for real businesses.
Sales Pipeline Automation Without Reinventing the CRM
Two agents, 14 tools, $92-242/month. Pipeline always up to date with zero human coordinator.
Read →AI-Powered Operations for LATAM Logistics Companies
Cross-border customs automation, route optimization for real infrastructure, and fleet management agents for LATAM logistics.
Read →The $20/Day AI Legal Department: System Architecture
33 of 37 tasks done, zero human intervention, $20/day cap. Architecture of our legal research engine.
Read →How AI Agents Handle Contract Review for Legal Teams
Document intake, clause extraction, risk scoring, template comparison. A 4-agent pipeline that processes 200+ contracts per month.
Read →What Running 35 AI Agents Taught Us About Business Automation
10 systems, 90+ agent roles, 13,570 lines of Python. What works, what breaks, and what we would do differently.
Read →Automating entire departments with AI agents: what works and what breaks
How to deploy autonomous agents in legal, sales, operations and HR. Lessons from 10 production systems.
Read →AI Agents for Fintech Compliance in Latin America
KYC/AML automation across LATAM jurisdictions. How agent systems cut compliance costs from $360K/year to $60K while covering more.
Read →Why LATAM Is Better Positioned for AI Automation Than Silicon Valley
Talent gap, low switching costs, and open field. LATAM's structural advantage for AI agents.
Read →Why LATAM's Regulatory Complexity Makes AI Agents More Valuable, Not Less
20+ jurisdictions, different data protection laws, multi-currency ops. How AI agents turn regulatory chaos into a structural advantage.
Read →AI agents are transforming businesses in Latin America. Here's how.
Latin American companies are deploying autonomous agents to close talent gaps. Data, real cases and what works.
Read →Institutional memory in AI systems: why 6-month-old agents outperform new ones
4 memory layers, accumulated knowledge and the measurable gap between a freshly deployed system and one operating for months.
Read →How We Built a 7-Agent Sales Team in 2 Weeks
92+ prospects in CRM. Zero manual data entry. 7 specialized agents managing pipeline, competitive intel, and outreach sequences.
Read →Human-in-the-Loop Is Not a Safety Net. It Is an Architecture Decision.
Three authority levels, designed escalation points, and why treating human oversight as a checkbox produces worse outcomes than no oversight at all.
Read →The Real Cost of a Multi-Agent System: Complete Breakdown
VPS $24/month, API $200-600/month, total $224-624/month vs $6-12K in salaries. Real cost breakdown of a 10-agent production system.
Read →Quality Engineering Is 80% of AI Agent Deployment
50+ garbage detection patterns, content scoring from 0.0 to 1.0, and three rewrites of a legal daemon. What production AI quality looks like.
Read →The $50 mistake in 20 minutes: why budget controls aren't optional for AI agents
A runaway loop burned 40x the expected budget. Cost controls, circuit breakers and retry limits for multi-agent systems.
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