When Agents Fail: Anatomy of Problems in Generative Systems
Discover why AI agents fail in production. We analyze error patterns, from the foundational model to orchestration, and how to design resilient systems.
Published on November 24, 2025
The team
AlamedaDev is an AI-first software engineering studio founded in 2009. With over 15 years of experience, we have developed intelligent solutions for innovative startups and large corporations across Canada, the United States, and Europe. Our track record spans sectors such as healthcare, hospitality, fintech, travel, telecommunications, legal, and industry. Our expertise is reflected in projects that combine artificial intelligence with robust software, always focused on delivering business results.
We are software engineers, machine learning specialists, product developers, UX/UI designers, and software architects. We work collaboratively across all project phases: from technical architecture and AI model integration to frontend and backend development.
Strategic Partnerships
We are members of leading technology alliances that enable us to deliver cutting-edge solutions:
DCA-IA Member
Active member of Digital Catalonia Alliance for AI, where we collaborate with leading tech companies and research institutions in developing and implementing AI solutions for various sectors including healthcare, finance, and public administration.
Google Cloud & Vertex AI Partner
Specialized in implementing enterprise-grade AI solutions using Google Cloud Platform and Vertex AI, with expertise in custom model deployment, MLOps, and large-scale data processing pipelines.
AWS AI/ML Solutions
Extensive experience with AWS AI services including Amazon SageMaker, Bedrock, and Comprehend, enabling us to build and deploy sophisticated machine learning models and AI-powered applications at scale.
Microsoft Azure AI Solutions
Technical expertise in Azure AI services and cognitive solutions, enabling us to build and deploy scalable machine learning models and AI applications using Azure's comprehensive cloud infrastructure.
Technical Leadership
Osledy Bazo
Full Stack Developer · AI Product Builder · Founder at AlamedaDev
Full stack engineer with over 15 years of experience building digital platforms and AI-first solutions. He has led technical teams on international projects for startups and large corporations, with a focus on scalability, product, and user experience.
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Ryan Porter
Chief Scientist · Lead AI Solutions Architect · Founder at Anthus AI Solutions
AI scientist and architect with more than 20 years of experience in enterprise software and critical systems. He has directed R&D labs in the United States to develop and scale machine learning models, LLMs, and multi-agent systems.
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Marina Camacho
Product Manager · User-centered Product Builder · Creative Technologist
Product Manager with a multidisciplinary background across design, development, and product delivery. She brings a calm, people-first approach to shaping digital experiences, guiding teams, and turning complex ideas into clear, intuitive products.
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Derek Norrbom
Chief AI Engineer & DevOps Specialist
AI engineer and DevOps specialist with more than 20 years of experience designing secure, scalable cloud infrastructures. He has led the implementation of modern architectures and high-performance artificial intelligence solutions for critical enterprise environments.
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What We Do
Our focus is on products where artificial intelligence plays a central role: chatbots, natural language processing, RAG, multi-agent systems, intelligent dashboards, AI-driven APIs, and tools that combine generative models with custom software.
AI-first Chatbots
We design and develop AI-powered chatbots that understand context and deliver useful responses. From customer support to internal assistants, they adapt to the specific needs of each company.
Natural Language Processing (NLP)
We integrate NLP models capable of extracting meaning from unstructured text. This enables the creation of conversational interfaces, automation of document workflows, and generation of valuable insights.
RAG (Retrieval-Augmented Generation)
We build RAG systems that combine LLMs with dynamic knowledge bases, delivering accurate and up-to-date responses in critical environments such as healthcare, legal, or industry.
Agentic AI Systems
We orchestrate architectures based on intelligent agents to automate workflows, support decision-making, and coordinate AI components that collaborate with one another.
AI-driven APIs
We develop APIs that encapsulate AI models and make them easy to integrate into other systems, enabling new intelligent functionalities without redesigning entire infrastructures.
Generative AI + Custom Software
We create tools that combine generative models with custom software, unlocking new forms of interaction, creativity, and automation for each business.
Insights
Real-world use cases, and technical deep dive on applied AI.
AI Agents for Mortgage Credit Evaluation.
From static rules to auditable decisions with RAG and tool-use. How AI agents can transform mortgage credit evaluation using RAG and tool-use for auditable and transparent decisions.
Published on November 6, 2025
Agentic SOPs: Turning SOPs into Decision Graphs and Reliable Agents
How to turn standard operating procedures into decision graphs that guide AI agents reliably. Practical examples of guardrailed workflows, auditability, and LLM-powered decision-making within SOPs.
Published on October 7, 2025
Want to talk with our team?
Let’s discuss what you want to build: AI, software, or both.
