Notes fromthe work.
Engineering decisions, deployment lessons and ideas from the Bayseian team.
26 articles
Grounding Gemini Enterprise: Which Systems to Connect First
Connecting every source at once is the most common way to make a Gemini Enterprise rollout useless. Score candidate systems on answer density, permission clarity and change rate, and connect in that order.
Aug 2026 · 8 min
Governing Gemini Enterprise Agents: Access, Model Armor and the Audit Trail
Agent governance is usually configured in the wrong order. Reach first, then the line between drafting and sending, then content controls, then the record you will actually be asked for months later.
Aug 2026 · 9 min
Which Workflows Actually Deserve an Agent
The shortlist from the first workshop is rarely the right one. Four filters: measured frequency, whether it reaches into a system, whether errors are recoverable, and whether you can define correct at all.
Aug 2026 · 7 min
Bayseian Named an OpenAI Select Partner
Bayseian, an applied AI engineering company that designs, builds and operates governed AI systems for enterprises and public-sector organisations, has been named an OpenAI Select Partner within the OpenAI Partner Network.
Aug 2026 · 3 min
Gemini Enterprise or Build Your Own: An Honest Comparison
Platform versus custom is decided per workflow, not per organisation. Where the plumbing is the hard part the platform wins. Where the reasoning is the product, or the data cannot move, it does not.
Jul 2026 · 8 min
Consolidating Tekniti AI Under Bayseian: One Team for Proptech and Real Estate Clients
Tekniti AI is now fully consolidated under Bayseian: one engineering team, one roadmap and one point of accountability for the landlords, letting agents and property teams building on it.
Jul 2026 · 8 min
Why We Build Ventures (and Why Tekniti AI Just Won a Prize)
Bayseian is a services firm that builds product. Our property compliance venture Tekniti AI just won the Soyoye Entrepreneurship Prize.
May 2026 · 9 min
Agents in Production Was the Only Conversation at Google Cloud Next '26
Field notes from Las Vegas. Nobody asked whether an agent could do the job. They asked how to secure it, monitor it and govern it once it does. And on the bubble question: the constraint is hardware supply, not demand.
Apr 2026 · 5 min
AI Content at Scale Tends Toward the Average. Here Is Why, and What to Do About It.
On signal architecture, ADK skill design, and the engineering behind content that survives compression.
Apr 2026 · 18 min
AI Governance in Saudi Arabia: Building the Technical Foundations for Responsible AI at Scale
How PII redaction, document classification, and data governance are becoming critical capabilities for organisations operating under the Kingdom's rapidly evolving regulatory framework.
Feb 2026 · 18 min
API Design for AI Agents (and the Humans Who Debug Them)
AI agents are becoming your API's biggest consumer, and they punish sloppy design at machine speed. Idempotency, actionable errors, MCP-aware tool descriptions, and the REST fundamentals that matter more than ever.
May 2025 · 13 min
Implementing Data Mesh at Scale: Architecture and Governance
Practical guide to transitioning from monolithic data warehouses to a decentralized data mesh architecture with domain-driven ownership.
Apr 2025 · 15 min
Multi-Cloud Infrastructure as Code with Terraform: Lessons Learned
Best practices for managing infrastructure across AWS, GCP, and Azure using Terraform, including state management, modules, and CI/CD integration.
Apr 2025 · 14 min
Fine-Tuning LLMs for Enterprise Applications: A Practical Guide
End-to-end guide to fine-tuning large language models for domain-specific tasks, including data preparation, evaluation metrics, and deployment strategies.
Apr 2025 · 19 min
The Iteration Framework: How to Ship Fast Without Breaking Things
A proven framework for rapid product iteration, continuous deployment, feature flagging, and data-driven decision making used by top tech companies.
Apr 2025 · 11 min
Building Real-Time Analytics with Kafka, Flink, and ClickHouse
Architecture and implementation of streaming data pipelines for real-time analytics, handling millions of events per second with sub-second latency.
Mar 2025 · 17 min
Kubernetes in Production: Security, Monitoring, and Cost Optimization
Production-hardened Kubernetes deployment strategies covering service mesh, observability, auto-scaling, and infrastructure-as-code best practices.
Mar 2025 · 16 min
Building a Serverless Data Lake on AWS: S3, Athena, and Glue
Complete guide to architecting a cost-effective, scalable data lake using AWS services with automated ETL pipelines and real-time analytics capabilities.
Mar 2025 · 16 min
Building MVPs with AI-First Development Strategies
How to leverage AI tools, no-code platforms, and modern frameworks to ship production-ready MVPs in weeks, not months. Lessons from 50+ successful launches.
Mar 2025 · 12 min
Why Your AI Coding Agent Keeps Going Off-Script, And How to Fix It
How spec-driven development turns unpredictable AI agents into reliable software factories through deterministic orchestration, bounded execution, and automated evaluation.
Feb 2025 · 12 min
Modern Distributed Computing Patterns: From Theory to Practice
Explore distributed systems architecture patterns including MapReduce, actor models, event sourcing, and CQRS with real-world implementation examples.
Feb 2025 · 24 min
Optimizing Apache Spark on AWS EMR for Petabyte-Scale Data Processing
Deep dive into performance tuning Spark clusters on EMR, memory management, partitioning strategies, and cost reduction techniques for processing massive datasets.
Feb 2025 · 18 min
Deploying Production LLMs with AWS Bedrock: A Complete Guide
Learn how to architect, deploy, and scale large language models in production using AWS Bedrock, covering cost optimization, security, and performance best practices.
Jan 2025 · 13 min
Engineering for Growth: Building Software from MVP to Series A and Beyond
A comprehensive guide to technical strategy and architecture decisions at each startup stage - MVP, pre-seed, seed, and Series A. Learn what to build, what to defer, and how to scale intelligently.
Jan 2025 · 20 min
vLLM and Parallelized Inference: Scaling LLM Serving to Production
Deep dive into vLLM architecture, continuous batching, PagedAttention, tensor parallelism, and advanced techniques for serving large language models at scale with optimal throughput and latency.
Jan 2025 · 18 min
Erasure Coding in Distributed Storage: Mathematics, Implementation, and Trade-offs
Comprehensive exploration of erasure coding techniques, Reed-Solomon codes, storage efficiency, fault tolerance mathematics, and practical implementation in systems like HDFS, Ceph, and S3.
Jan 2025 · 22 min