Field notes on AI that ships

Practical lessons from AI deployments in complex, regulated environments.

A Founder's Guide to GenAI Proofs-of-Concept on Google Cloud

Agents POC GCP

The practical playbook for running your first GenAI POC on GCP. Credits, scoping, success criteria, and what to harden before pilot. Written for founders and engineering leaders who need to ship something measurable in 4 to 6 weeks.

Accelyze

Accelyze

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How to Choose a GenAI Consultancy on Google Cloud

Agents Consulting LLM GCP

A buyer's guide. The signals that actually predict good delivery, the ones that don't, and the questions to ask in a scoping conversation before you sign anything.

Accelyze

Accelyze

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Multi-Model GenAI Architectures on GCP: When Gemini Isn't the Right Tool

Models LLM GCP

An honest post about model selection. Gemini is excellent, and it's the default for almost everything we build. It's not always the right answer, and pretending otherwise loses deals.

Dean

Dean

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GenAI for E-commerce Ops: Catalog Enrichment, Search, and Merchandising on GCP

Agents E-commerce LLM GCP

E-commerce operations is one of the most under-served categories for GenAI consulting. The use cases are concrete, the ROI is measurable, and Google Cloud has a particularly relevant product stack. Here's what we build.

Dean

Dean

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Accelyze for Google Cloud

Agents Accelyze GCP

Our position on when Google Cloud is the right platform for GenAI in 2026, what GCP gets uniquely right, and where we'll honestly tell clients to look elsewhere.

Accelyze

Accelyze

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Building Internal Copilots: A Vertex AI + Workspace Integration Pattern

Agents Co-Pilot LLM GCP

Internal copilots are the GenAI deployment with the fastest path from 'let's try this' to 'the team relies on it.' Google Workspace plus Vertex AI is a particularly clean stack for them. Here's the integration pattern we use.

Dean

Dean

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Document Intelligence Pipelines on Google Cloud: Document AI + Gemini for Enterprise Back-Offices

Agents Documents LLM GCP

Invoices, contracts, claims forms, KYC packets. Document processing is unglamorous, high-value, and a category where Google Cloud has a stronger product stack than most people realize. Here's how we build it.

Dean

Dean

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GenAI for Customer Support: A Reference Build on Vertex AI

Support Agents LLM GCP

Support automation is one of the most attractive GenAI use cases for enterprise buyers and one of the fastest ways to ship something that fails badly. Here's the reference architecture we build on Google Cloud, and the design choices that separate the systems that hold up from the ones that don't.

Dean

Dean

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How to Evaluate a GenAI Application Before You Ship It

Agents Evals LLM

An opinionated guide to building eval harnesses for GenAI on Google Cloud. The mechanics, the trade-offs, and the patterns that hold up over a 12-month system lifetime.

Dean

Dean

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Designing GenAI Agents That Don't Hallucinate Themselves Into Production Incidents

Agents Guardrails genAI GCP

Agents are powerful and dangerous in roughly equal measure. This post is the discipline we apply at Accelyze to make them shippable in production.

Dean

Dean

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Five RAG Patterns We Keep Building on Google Cloud, and When Each One Is Right

Agents RAG LLM GCP

Retrieval-augmented generation isn't a single technique. It's a family of patterns with very different trade-offs. Here are the five we end up building most often on GCP, and how to tell which one your use case needs.

Dean

Dean

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Build vs. Buy vs. Fine-Tune: A Decision Framework for Enterprise GenAI on Vertex AI

Agents Fine-Tune GenAI GCP

The most common scoping mistake in enterprise GenAI is picking the implementation approach before understanding the use case. This is our corrective: a decision process that starts from requirements and arrives at the right rung on the complexity ladder.

Dean

Dean

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The GenAI Consulting Engagement Playbook: How We Scope, De-Risk, and Ship in 90 Days

Agents LLM GCP

Most GenAI consulting engagements fail before the first model call. They fail in scoping, on the day someone said 'let's build an AI thing' and everyone nodded without defining what done looks like. This is our playbook for not doing that.

Dean

Dean

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A Reference Architecture for Production GenAI on Google Cloud

Agents LLM GCP

This is the post we link from every Accelyze proposal. It's the stack we use as a starting point for production GenAI systems on Google Cloud, the seams between the components, and the decisions we've learned to make early.

Dean

Dean

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From Fragmented Project Data to Focused Standups

Case Study Construction RAG

Accelyze used a custom OpenAI and RAG copilot to help Haskell project managers keep subcontractors and subprojects aligned and run higher value standups and review meetings.

Accelyze

Accelyze

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The Small Model Frontier for Agentic AI

Agents SLM LLM

Rethinking stacks around small contract driven models instead of one giant default model.

Dean

Dean

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From Sidecar Copilot to Daily Habit in Logistics

GenAI Case Study Logistics

Accelyze used OpenAI based copilots to help Crowley turn a sidecar analytics project into a core tool that optimizes network performance and analyst productivity.

Accelyze

Accelyze

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Halving service Diagnostic time with Generative AI

GenAI Case Study

Accelyze used Anthropic Claude on AWS Bedrock to cut technician diagnostic time in half and reduce service escalations for Yamaha.

Accelyze

Accelyze

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Routing bias the hidden failure mode in agentic AI

Agents Routing

Why routing, tool usage, and decision paths matter more than answer level scores in agentic systems.

Dean

Dean

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Org Charts for the Agentic Enterprise

Agents Org design

How org design, governance, and talent models change when digital agents become peers rather than assistants.

Dean

Dean

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Agentic search as a new substrate for GenAI systems

Agents Retrieval

Why search plus agents should be treated as a control plane for retrieval, not just a better widget.

Dean

Dean

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Personality alignment in human agent systems

Agents Alignment

Why matching personalities between humans and AI agents is a strategic lever for GenAI deployments.

Dean

Dean

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Zero trust when your own agents are untrusted

Agents Security Governance

Why intent level controls, data passports, and policy embedded reasoning are the new core of security in agentic systems.

Dean

Dean

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From SEO to GEO in the age of generative engines

SEO Marketing

Why traditional SEO is dissolving into Generative Engine Optimization as models, not users, become the primary audience.

Dean

Dean

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From drones to mission aware aerial agents

Agents Robotics

Why the real frontier in UAVs is agentic, mission aware systems that think, coordinate, and adapt in the real world.

Dean

Dean

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