Blog
Articles on AI, software development and quantitative finance
The 2026 Micro-SaaS Stack: Next.js, Supabase, Vercel. Clerk or Auth.js?
Explore the modern micro-SaaS stack for solopreneurs: Next.js, Supabase, Resend, Vercel. A detailed comparison of Clerk and Auth.js for authentication, covering setup, costs, and vendor risk.
Sales Automation for Solo Professionals: Email & Calendar with n8n, Supabase, and Real Costs
Learn how a single sales professional can efficiently manage 30+ leads weekly by automating email and calendar tasks. This guide explores a lean tech stack (n8n, Resend, Cal.com, Supabase), breaking down its real costs and potential risks.
AI Dashboards for Sales Directors: Beyond BI, Intelligent Forecasting
For SME sales directors, AI dashboards go beyond static reports. Learn how AI delivers dynamic pipeline forecasting, automates weekly reporting, and when LLMs become essential for concrete ROI and swift setup.
Enterprise AI: Balancing Costs, Collaboration, and Security Against Distillation Attacks
Companies adopting AI face balancing costs vs. value, integrating collaborative tools like Claude, and protecting against distillation attacks. A holistic approach is crucial.
Open-Weight AI in 2026: Affordable Self-Hosting for Italian SMEs
Open-weight AI models by 2026 will strike the perfect balance for cost-effective self-hosting. Discover 3 ideal models and how to measure their impact for your SME.
Enterprise AI: From Enthusiasm to Concrete ROI
Italian B2B companies are seeking tangible ROI from AI. The focus is shifting to efficient adoption strategies, local deployment, or specialized outsourcing, moving beyond the initial hype.
Multi-tenant Supabase: 3 Data Isolation Strategies & Their Trade-offs
Explore 3 Supabase multi-tenant data isolation patterns: RLS-only, schema-per-tenant, and DB-per-tenant. Learn their pros, cons, and when to choose each to balance cost, performance, and complexity.
Agentic vs. Deterministic: The Real Value and Risks of AI Agents
Understanding the difference between agentic and deterministic workflows is key to effective automation. We explore where AI agents deliver genuine value and where they add unnecessary complexity, illustrated with two practical comparisons.
Anthropic's 'Project Glasswing': Future AI Directions for Businesses
Anthropic's 'Project Glasswing' unveils the future of AI. We explore how enhanced robustness, reasoning, and transparency will impact businesses, from SMEs to enterprise developers.
Automating Sales Follow-Ups: Our AI-Powered Strategy for Technical Firms
See how a technical firm automated sales follow-ups with AI, preserving brand voice, human oversight, and GDPR compliance. Achieved tangible ROI with quick implementation.
Anthropic Computer Use & OpenAI Operator: AI Agents for Browser Automation
Many mid-sized B2B companies face a common challenge: employees spending hours manually navigating supplier portals, populating product sheets on e-commerce sites, or entering data into legacy CRMs. This repetitive work is a prime candidate for AI automation.
AI Security: Beyond the Hype – Navigating Risks for Italian SMEs
Integrating AI into businesses demands robust security and responsible use. Discover how sandboxing, LLM protection, and supply chain defense reshape the roles of CTOs and developers in Italy.
When a Software House Chooses 'Buy' Over Build: 4 Practical Examples
Even seasoned software houses face 'build vs. buy.' This post reveals four areas (auth, CDNs, error tracking, payments) where external solutions offer superior cost and speed.
Local AI Inference: The On-Premise Comeback with llama.cpp and MLX
Discover how recent updates to llama.cpp and Apple's MLX are revolutionizing local AI inference. Enjoy reduced costs, enhanced privacy, and independence from cloud services for SMEs and startups.
Honest Backtesting: 5 Critical Errors and How to Avoid Them in Quant Trading
Uncover the 5 most frequent backtesting errors in quantitative trading: survivorship bias, overfitting, unrealistic transaction costs, look-ahead bias, and overlooking regime changes. Adopt a rigorous approach for truly honest results.
When n8n Isn't Enough: The Limits of 'No-Code' Automation and Concrete Alternatives
Discover when n8n's apparent simplicity can hide significant costs and maintenance challenges. We explore 3 real-world scenarios where Cloudflare Workers or Inngest provide more robust solutions.
Advanced MLOps & Open-Source LLMs: Scaling AI for Italian SMEs
Recent advancements in advanced MLOps and LLM inference optimization (Safetensors, vLLM, Gradio) are democratizing AI. Discover what these changes mean for Italian SMEs and developers.
From Manual Quotes to AI: Four Hours in Twelve Minutes
AI can transform quote generation from hours to minutes, seamlessly integrating with legacy systems like AS400 and Zucchetti. Discover how, with clear ROI and risk considerations for your SME.
AI Agents and Software Development: The Dawn of Intelligent Collaboration
The evolution of Artificial Intelligence agents is rewriting the rules of software engineering, transforming what was once science fiction into operational reality. It's no longe
Evolving AI: Models, Platforms, and Strategic Development for SMEs
The AI landscape is rapidly evolving with new models, cloud expansion, and open-source solutions. Grasping these shifts is vital for SMEs and startups aiming to innovate and maintain control, from selecting the right models to defining strategic development approaches.
AI Ethics and Governance: A Guide for SMEs and Startups
AI's integration with society raises critical challenges, from autonomous vehicle liability to hiring algorithm biases. SMEs need robust governance and compliance, as required by the AI Act, to foster a responsible and trusted digital future.
AI in Software Development: Costs, Ethics, and Operational Strategies
AI revolutionizes software development, bringing unexpected challenges: high costs, IP ethics, and strategic governance. Navigate these risks, optimize AI use, and ensure sustainable innovation.