Blog
Notes and analysis on AI
Trends, tutorials, and opinions from the Lixto Labs team on AI applied to business.
Automate inventory and collections with AI: an SMB guide for 2026
Mismatched inventory and receivables slipping away: how AI and a connected ERP give you real control of your stock and your cash in 2026.
InventoryCollectionsAutomationAI agents that quote and take orders by chat or voice in 2026
AI voice and chat agents already take orders, quote, and check inventory in seconds. Here's how they work and how to apply them to your commercial operation.
AI AgentsVoiceQuotingCFDI 4.0 invoicing in 2026: automate stamping and collections with AI
Mexico's SAT tightened invoicing rules in 2026. Here's how to automate CFDI 4.0 stamping, payment complements, and collections without errors or penalties.
CFDI 4.0InvoicingSATCRM with WhatsApp and AI: automate sales and follow-up in 2026
How a WhatsApp-connected CRM with artificial intelligence replies in seconds, qualifies leads, and closes more sales without your team losing track.
CRMWhatsAppAutomationAI-powered ERP for SMBs: how to choose one in 2026
A practical guide to choosing an ERP with artificial intelligence in 2026: what to look for, how it ends operational chaos, and why the ERP stopped being just a system of record.
ERPAISMBsGPT-5 and extended reasoning models: what changes for businesses in 2026
A practical look at how GPT-5 and its extended reasoning modes are redefining what companies can automate with AI.
GPT-5Reasoning modelsStrategyAutonomous AI agents in production: lessons from the past year
After 12 months running AI agents with real clients, here's what works, what fails, and how to avoid the most common pitfalls.
AI AgentsProductionLessons learnedClaude 4 vs GPT-5 vs Gemini 2.5: a B2B comparison
Which model fits which enterprise task in 2026. We compare cost, latency, reasoning, and availability.
GPT-5Claude 4Gemini 2.5The rise of SLMs (small language models) and why they matter in LATAM
Why small models are eating a large slice of the market, especially in countries with higher infrastructure costs.
SLMOpen sourceLATAMEU AI Act and AI regulation in Mexico: what every SMB should know
Practical summary of the 2026 AI regulatory framework and what real obligations Mexican companies have.
RegulationAI ActComplianceRAG vs fine-tuning vs context caching in 2026: when to use each
Three techniques to make an LLM answer with your information. Which to pick based on case, budget, and volume.
RAGFine-tuningArchitectureComputer use and agents that control browsers: real cases in 2026
Agents that see the screen and move the mouse went from demo to production. Where they work, where they don't.
Computer useAgentsAutomationNative multimodality: voice, video, and image in business workflows
Real multimodal models are no longer a gimmick. B2B cases where voice, image, and video are unlocking new products in 2026.
MultimodalVoiceVisionAI costs in 2026: how token prices collapsed
Cost-per-token comparison between 2023 and 2026, what's driving it, and what it means for high-volume use cases.
CostsPricingStrategyMCP (Model Context Protocol) and the standardization of LLM tools
MCP is becoming the de facto standard to connect tools with LLMs. Why it matters, how it works, how we're using it.
MCPIntegrationsArchitecture