→ Engineering notes
How we build AI that ships to production.
Cost models, architecture patterns, eval, observability, and the integration work that decides whether an AI feature ever reaches real users. Written for engineers and the people who buy engineering.
- ToolingJun 8, 2026 · 7 min
The Best AI Tools for B2B SaaS in 2026 (That Engineering Teams Actually Use)
Forget the 100-tool 'AI awesome' lists. Here's the tight stack we actually ship into B2B SaaS builds in 2026 , picked because they survive production, not because they look good on Twitter.
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- ComplianceJun 5, 2026 · 8 min
GDPR-Compliant AI Deployment for EU Companies: A Practical Engineering Guide
GDPR + AI is solvable. Most teams get it wrong by accident: a sub-processor not disclosed, data crossing borders silently, prompts logged where they shouldn't be. Here's the discipline.
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- IntegrationJun 4, 2026 · 8 min
AI Integration with SAP: Practical Patterns for ERP-Native AI Features
SAP integrations don't have to take a year. Here's how we ship AI features against S/4HANA and Business One in 6-10 weeks.
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- IntegrationJun 3, 2026 · 8 min
AI Integration with Salesforce: A Practical Guide for Engineering Teams
Salesforce has its own AI stack. You don't have to use it. Here's how to build custom AI features against the Salesforce APIs you already have.
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- InfrastructureJun 2, 2026 · 9 min
How to Deploy an LLM On-Premise in 2026 (Llama 3 on vLLM Guide)
Sovereign LLM deployments are no longer rocket science. Here's the modern stack , Llama 3 70B on vLLM behind a private API , and what it actually takes to operate.
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- EngineeringJun 1, 2026 · 8 min
Why AI Projects Fail in Production (And What Engineering Teams Miss)
Most AI projects that fail share the same fingerprints: no eval, prompt sprawl, cost surprises, integration that never lands. Here's the full failure-mode catalog.
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- Buyer guideMay 29, 2026 · 6 min
How to Write a Brief for an AI Project (That Gets a Useful Quote Back)
Most AI quotes come back vague because the brief was vague. Here's the 8-section template we wish every prospect would send.
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- StrategyMay 28, 2026 · 6 min
AI Proof-of-Concept vs MVP: What's the Difference, and Which Do You Need?
Most failed AI projects ship a POC and call it an MVP. The gap between them is where the eval suite, the integration, and the runbook live.
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- StrategyMay 27, 2026 · 6 min
Five Signs You Need an AI Consultant (And Two Signs You Don't)
Most CTOs hire AI help too late , after the prototype quietly stalls. Here's how to spot the moment to bring in outside engineering.
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- PricingMay 26, 2026 · 7 min
How Much Should You Pay an AI Development Agency in 2026?
If you're buying AI development services, here's the bracket you should expect and the questions to ask if a quote falls outside it.
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- EngineeringMay 25, 2026 · 7 min
AI Integration Checklist for Engineering Teams (2026)
Twenty-six items we work through before shipping AI to production. Run this against any AI project you're scoping this quarter.
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- IntegrationMay 22, 2026 · 9 min
How to Add AI to an Existing SaaS Product Without Breaking It
Don't bolt AI onto the side. Most failed integrations are the ones that became a separate UI users never adopted. Here's how we wire AI inside the product.
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- StrategyMay 21, 2026 · 8 min
Open-Source vs Closed-Source LLM for Business: A 2026 Decision Guide
Closed-source frontier models win on day one for most teams. Open-weights win when data residency, customization, or unit economics force the move.
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- OperationsMay 20, 2026 · 9 min
How to Evaluate an LLM in Production: A Practical Eval Guide
Most teams skip eval until the model breaks in production. By then they cannot tell why. Here's the eval pipeline we build into every project.
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- IntegrationMay 20, 2026 · 8 min
LLM Integration Services in 2026: How to Add AI to Your Business Without Creating Chaos
Adding a chatbot to your site is the easy part. Real LLM integration is a serious software engineering project that starts with the business process, not the model.
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- OperationsMay 19, 2026 · 8 min
AI Cost Optimization in Production: Where the Money Actually Goes
Token spend is the part most teams discover too late. Here are the seven moves we apply on every production AI build to keep unit economics healthy.
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- ArchitectureMay 19, 2026 · 9 min
RAG Implementation Services in 2026: How to Build AI That Understands Your Business Data
Most companies do not need an AI that knows the internet. They need an AI that understands their own documents, contracts, and support history. That is what RAG is for.
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- ArchitectureMay 18, 2026 · 7 min
How to Choose a Vector Database for AI Search in 2026
Most teams overthink this. pgvector on the Postgres you already operate handles 95% of B2B use cases. Here's when the other options actually win.
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- PricingMay 18, 2026 · 9 min
How Much Does It Cost to Build an AI Agent in 2026?
Simple AI agents start around €3,000. Production AI agents for real business work can hit €100,000 or more. The bracket depends on responsibility, not number of prompts.
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- ArchitectureMay 15, 2026 · 8 min
Claude vs GPT-4o vs Open-Weights LLMs: Picking the Right Model in 2026
The right LLM depends on the task, not the brand. Here's the decision tree we use when scoping production AI builds for B2B teams.
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- InfrastructureMay 15, 2026 · 8 min
Lambda Labs for AI Products in 2026: When Your AI App Needs Dedicated GPU Infrastructure
Lambda Labs gets mentioned the moment a team thinks about GPUs. The real question is whether the AI product actually needs dedicated GPU infrastructure, or whether managed APIs are still the right call.
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- StrategyMay 14, 2026 · 7 min
How Long Does It Take to Build an AI MVP in 2026?
Three weeks from kickoff is realistic for a focused scope. Six is realistic for a real production system. Here's what each week actually contains.
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- ArchitectureMay 13, 2026 · 9 min
RAG vs Fine-Tuning in 2026: A Decision Framework for Production AI
Almost every team gets this call wrong. The default answer is RAG, and fine-tuning is the last resort , but there are specific cases where the opposite is true.
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- PricingMay 12, 2026 · 8 min
How Much Does a Custom AI Agent Cost in 2026? A Defensible Breakdown
The honest answer is between €15,000 and €120,000+, but the bracket depends on five inputs nobody quotes up front. Here's the breakdown we use when scoping.
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