Technical Articles | Jamie Blair

10 posts

Technical

Everything I've written about technical.

AI core with expanding data network representing a post-launch feedback loop for continuous model retraining and sustained accuracy.

What Happens After the AI MVP Ships

The MVP is live. Now what? Monitoring, retraining, user feedback loops, and the maintenance work that determines whether your AI project survives past month three.

27 May 20267 min read

AI core cleaning tangled raw materials, resolving data issues like inconsistency for 90%+ automation accuracy.

Data AI Technical Python

Building AI that works with messy data (it's always messy)

Every AI project starts with data that is worse than you think. Here is how I handle missing values, inconsistent formats, and the 80/20 rule of cleaning.

29 Apr 20268 min read

Automated multi-stage onboarding system uses webhooks and smart sentiment check-ins to guide users, flagging struggles.

Automation SaaS Case Study Technical

How I'd automate customer onboarding for a SaaS company

A practical walkthrough of automating SaaS customer onboarding: welcome sequences, data collection, account setup, and smart check-ins. No enterprise tools.

15 Apr 20268 min read

Robotic arm precisely automates matching delivery reports to invoices, eliminating 20+ hours of manual work.

Automation Python AI Technical

How I'd automate invoice reconciliation for a small business

A walkthrough of the pipeline I built to automate invoice matching: PDF extraction, fuzzy matching, and human review for any business.

19 Mar 20265 min read

AI mechanism rapidly triages e-commerce support tickets, reducing first-response times and improving CSAT.

Customer Support NLP AI Technical

How I'd build an AI triage system for e-commerce support

A technical walkthrough of a support triage system: intent classification, auto-resolution, and smart routing. Architecture and design decisions.

18 Mar 20266 min read

Precisely identifying the root cause in a complex system to prevent clusters of property maintenance complaints and costs.

Machine Learning Custom AI Python Technical

How I'd build a predictive maintenance model for property management

Building a custom ML model to predict property maintenance issues before tenants complain. Feature engineering, model selection, and data prep.

12 Mar 20267 min read

Mechanism precisely parses complex PDF document structures into usable data for automation.

Automation Python Technical Tools

PDF parsing in 2026: what actually works

A practical comparison of PDF parsing tools and approaches in 2026. From pdfplumber to vision models, here's what works for invoices, contracts, and forms.

2 Mar 20266 min read

Sentiment analysis processing customer feedback for instant, actionable insight into emotional states.

NLP Customer Support AI Technical

Sentiment analysis for small businesses: what it can and can't do

A realistic look at sentiment analysis for customer feedback, reviews, and support tickets. What it's good at, where it fails, and whether it's worth building.

15 Feb 20266 min read

Data pipeline core cleaning, combining, transforming raw data from various sources into a stable foundation for automation.

Python Automation Data Technical

Building a data pipeline with Python: a practical guide

How to build a reliable data pipeline in Python for small business automation. Ingestion, transformation, storage, and scheduling with real code examples.

10 Feb 20266 min read

Precision robotic arm streamlining small business financial data through accounting automation and custom integrations.

Automation Python Small Business Technical

Automating Xero and QuickBooks: what's possible in 2026

A practical guide to automating accounting workflows with Xero and QuickBooks APIs. Invoice processing, reconciliation, and reporting.

25 Jan 20265 min read

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