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We turn research frameworks and engineering theses into production AI systems with governance, security, and high performance.
We turn research frameworks and engineering theses into production AI systems with governance, security, and high performance.
Effective prevention against attacks in WordPress depends on meticulous analysis. Discover how to hunt malicious code and config errors.
Learn how to build a B2B sales funnel from scratch. Define your ICP, structure pipeline stages, integrate CRM and generate predictable revenue.
Create a sales playbook your team actually executes. Structure messaging, objections, qualification and automation to scale sales with consistency.
Discover the 7 most common sales operations mistakes. Fix gaps in data, process and management to achieve real revenue predictability.
Learn how to apply AI in marketing. Build AI-Native products, automate campaigns and scale revenue with intelligent agents and LLMs.
Discover how serverless architecture with Next.js and Cloudflare Workers cuts costs and accelerates the launch of scalable digital products.
Build a growth-driven sales funnel. Integrate server-side tracking, CRM and paid media to generate qualified leads and scale recurring revenue.
Discover how AI implementation in business can automate processes, connect data, and reduce costs. Learn how to apply AI in real operations.
System integration via API eliminates rework and connects ERP, CRM, and E-commerce. See how to automate your commercial operation and scale fast.
Learn e-commerce and checkout optimization techniques. Reduce cart abandonment and increase sales with tracking, CRM, and automation.
Understand why investing in custom software is the best choice when operations grow. Ditch spreadsheets and scale with robust digital products.
Understand why server-side tracking is vital for data accuracy. See how I use this technology to prevent data loss caused by ad-blockers.
Learn how I design revenue models for digital products. See real examples of SaaS, AdTech, and how to optimize billing to grow.
Discover how I apply market intelligence with artificial intelligence to monitor competitors and find opportunities before everyone else.
Discover how I use AI agents in sales to qualify leads, summarize meetings, and free the commercial team to focus exclusively on closing deals.
Understand how I use corporate RAG to connect company knowledge bases to artificial intelligence safely and privately.
See how I implement AI backoffice automation to extract data, validate invoices, and eliminate repetitive manual tasks in companies.
Understand why integrated AI architecture outperforms basic prompt courses. Discover how to create robust systems connected to your database.
Learn how an AI customer service agent replaces rigid IVRs. Improve customer experience with instant support integrated into your system.
See how B2B campaign structuring in Google Ads and LinkedIn Ads generated qualified growth for Azion in Brazil and the United States.
Read the Aeskins Pharmaceuticals case: full-funnel strategy, data lake with BigQuery and Power BI, positioning, inbound and outbound marketing.
Read the Aeskins Pharmaceuticals case: Magento development, commercial journey design, and store customization for external sales reps to place orders.
See how Aeskins Pharmaceuticals structured Magento, TOTVS, WMS and AWS with RDS, Load Balancing, Route 53, CloudFront and firewall rules.
Read the Shopfisio case: development, maintenance, and evolution of strategic Power BI dashboards for leadership and business teams.
Read the AOFIO case: Figma design, WooCommerce development, and structuring an online store with clear navigation, catalog, and checkout.
See how AOFIO structured AWS with EC2, RDS, Load Balancing, Route 53, CloudFront, firewall, and WMS integration for fulfillment and tracking.
See how AOFIO structured growth campaigns with Google Ads using SKAGs, awareness levels, Meta Ads, and LinkedIn Ads for physicians and clinics.
Understand how server side tracking implementation, data layer, and Mixpanel transformed the way Azion measures MQLs and PQLs.
Discover how integrating HubSpot, lead scoring, and platform usage data allowed nurturing technical leads and accelerating conversions at Azion.
See how we executed the migration from Universal Analytics to GA4 at Azion, mapping product events and creating advanced funnel reports.
Learn about the WeWork case: performance campaign structuring in Google and LinkedIn Ads to generate MQLs and SQLs in five countries simultaneously.
How the Bionovis website reconstruction in React reorganized content, search, and conversion for physicians, hospitals, and clinics.
See how Bionovis developed an exclusive portal for physicians: a secure React and PostgreSQL web app with hundreds of scientific resources.
WooCommerce infrastructure improvement with plugin cleanup and updated catalog configuration for Google Shopping and Meta Ads.
Precise cluster adjustments and budget pacing in Meta Ads that doubled the Elephant Sanctuary revenue.
Custom WooCommerce plugin creation that automatically recovers abandoned carts via WhatsApp using the Evolution API.
See how Antonella transformed its agency expertise into a SaaS CRM for schools using Next.js, Supabase, and WhatsApp Cloud API.
How Jovem Pan created an annual subscription platform for sector reports to qualify clients for its broader product ecosystem.
How JP Analytics tracks journeys across the Jovem Pan ecosystem and gives companies insight into the content their audiences consume.
Read the Tendy case: a multi-tenant LLM platform with API gateway, model aliases, RAG, memory, Nango integrations, dedicated deployments and billing.
Read the Constellation case: an LLM platform with API gateway, model aliases, RAG, LoRA, marketplace distribution and token billing.
Read the NotPixel case: a contextual ads SDK for LLMs with semantic matching, privacy, streaming, tracking and multi-provider support.
Understand why AI projects stall after the pilot and what changes when process, data, integration, risk and operations enter the project from the beginning.
Use a practical impact, feasibility, and risk matrix to compare AI use cases and choose your first project without relying on opinion or fashion.
Understand why implementing AI requires redesigning tasks, decisions, roles and controls, instead of just distributing a new tool to the team.
Learn how to calculate ROI, payback and total cost of an AI implementation with baseline, verifiable benefits and quality and risk metrics.
Compare off-the-shelf solution, in-house development and AI integration by the criteria that matter: differentiation, data, deadline, control, risk and total cost.
A practical guide to implementing AI in service with triage, knowledge base, customer context, human oversight and quality metrics.
See where AI really helps sales: account research, preparation, CRM registration, follow-up, coaching and prioritization with human control.
Use AI in marketing for research, distribution, analysis and operations without multiplying generic content, branding errors and empty volume.
Discover practical applications of AI in forecasting, inventory, transportation, documents, and exceptions — and the data you need to get started safely.
See how to apply AI to documents, reconciliation, closing, billing and financial analysis with validation, audit trail and segregation of duties.
Apply AI to ticket screening, document search, incident response and IT routines with sources, permissions, approval and operational metrics.
Compare automation, copilot, and AI agent by variability, autonomy, risk, and oversight to choose the right architecture for each process.
Understand the architecture to connect AI to CRM, ERP, WhatsApp and internal systems with APIs, events, identity, validation, queues and logs.
Learn when RAG is the right architecture for connecting AI to documents and business knowledge — and when search, rules or fine-tuning do the trick best.
Protect data in AI applications with classification, minimization, identity, retention, isolation, vendor assessment, and incident response.
Implement AI agents with least privilege, auditable logs, risk approvals, execution limits, fallback, and secure shutdown.
A 90-day plan to diagnose, prioritize, bring an AI case into controlled production, and decide to scale with metrics and governance.
Structure a small, executive AI committee with a mandate, risk criteria, reusable standards, and quick decisions to unlock projects.
Measure value, quality, adoption, risk, and cost after AI implementation with process-linked metrics and clear operational boundaries.
Prepare employees to work with AI agents through real-world tasks, clear boundaries, practice, feedback, and new roles — without generic training.
Understand how to check if your company appears in ChatGPT responses, which queries to test and how to separate mention, citation and recommendation.
Understand where SEO and GEO share fundamentals, where metrics change, and why optimizing for AI does not replace indexing, authority, and useful content.
Build a reproducible viewability test across ChatGPT, Google AI, Perplexity, and Copilot with clear prompts, repeats, competitors, and metrics.
Understand why AI engines choose competitors and how relevance, evidence, indexing, authority and consistency influence recommendations.
See which signals make a page more useful as a source for AI engines: relevance, evidence, clarity, freshness, authority, and technical access.
Understand how useful content, correct indexing, and verifiable authority work together to increase eligibility and citability in AI engines.
Understand the role of Schema.org and JSON-LD in AI visibility, what they don't guarantee, and which technical and editorial fundamentals take priority.
No: Google states that it ignores llms.txt. Understand the purpose of the file, when it can be useful and what to prioritize for AI Overviews and AI Mode.
Turn expertise, data, and decisions into original content that people and AI engines can verify, cite, and use with confidence.
See how Search Console records AI Overviews and AI Mode, the new generative AI report, and how to combine impressions, pages, and conversions.
Here's what a GEO audit should evaluate: prompts, citations, competitors, crawling, indexing, entities, content, authority, and measurement.
Use this checklist to evaluate B2B presence in AI responses: category, use cases, evidence, integrations, security, sources, and measurement.
Evaluate e-commerce visibility in AI mechanisms: catalog, products, inventory, policies, reviews, structured data, authority and measurement.
Compare brands in AI engines with the same set of prompts, repeats, and metrics for mention, citation, accuracy, sources, and share of response.
Understand how to estimate the cost of absence in AI responses without inventing attribution: demand, consideration, traffic, conversion, and competitive learning.
A public analysis of the signals that make Nubank understandable and quotable: entity, products, content, update and external sources — without an invented score.
Create AI visibility benchmarks by segment without comparing incompatible markets: prompts, brands, platforms, metrics, sample and limitations.
See the changes in 2026: integration between AI Overviews and AI Mode, new visibility reports and guidance against GEO hacks.
Learn about the technical, editorial, and entity errors that make it difficult for AI to understand your business: blocks, ambiguity, generic content, and conflicting facts.
Create a process to transform data, projects, experts, tickets, and internal decisions into original, verifiable, publish-safe content.