AI systems and economics
PRECISION FEDERAL · MARKET & TRENDS
AI systems and economics
What it costs to run a model, what breaks in production, and which problems are worth pointing AI at.
Recent posts
AI systems and economics
Agent Architectures That Survive Contact With Users
AI systems and economics
Prompt Versioning and Rollback
AI systems and economics
Model Documentation an Examiner Accepts
AI systems and economics
Model Monitoring in the Real World
AI systems and economics
Handling Customer Data You Must Not Train On
AI systems and economics
What an AI Proof of Concept Should Prove
AI systems and economics
Turning a Manual Review Into a Model
AI systems and economics
When to Build Your Own Inference Stack
AI systems and economics
RAG that works on real enterprise documents
AI systems and economics
Caching for LLM Applications
AI systems and economics
Cost Per Successful Task, Not Per Token
AI systems and economics
Content Tagging for a Media Library
AI systems and economics
When to Fine-Tune and When to Prompt
AI systems and economics
What Happens When Your Model Degrades
AI systems and economics
Batching and Cost Control for LLM Pipelines
AI systems and economics
Your Eval Suite Is Measuring the Wrong Thing
AI systems and economics
Resume Screening Without Making It Worse
AI systems and economics
Evaluating Alternative Data
AI systems and economics
Document Processing at Volume
AI systems and economics
Build Versus Buy for an Internal AI Tool
AI systems and economics
Building an eval set that catches regressions
AI systems and economics
Streaming UX for LLM Applications
AI systems and economics
Model Risk Management for Machine Learning
AI systems and economics
Long Context, and When It Beats Retrieval
AI systems and economics
Feature Stores, and Whether You Need One
AI systems and economics
Document Extraction at Scale for Financial Filings
AI systems and economics
Scoping an AI Project When You Do Not Know What Is Possible
AI systems and economics
Context engineering beyond the prompt
AI systems and economics
An Internal Chatbot People Actually Use
AI systems and economics
Structured Output from a Language Model
AI systems and economics
Anomaly Detection That Does Not Cry Wolf
AI systems and economics
Where LLMs Are Worth the Money, and Where They Are Not
AI systems and economics
Knowledge Graphs for Enterprise Data
AI systems and economics
Evaluation Harnesses for Agent Systems
AI systems and economics
AI for a Professional Services Firm
AI systems and economics
Multi-Model Routing and When It Pays
AI systems and economics
Does Your Business Actually Need AI
AI systems and economics
Tool-use design for LLM agents
AI systems and economics
When an LLM Is the Wrong Tool
AI systems and economics
Formal Verification Outside Academia
AI systems and economics
Running a model where the data cannot leave
AI systems and economics
Incident Response When the Model Is the Incident
AI systems and economics
Integrating AI into a system of record without corrupting it
AI systems and economics
Red flags in an AI benchmark
AI systems and economics
API Design for AI Products
AI systems and economics
Rate Limits, Quotas and Abuse for Inference APIs
AI systems and economics
Reproducible Builds for Machine Learning
AI systems and economics
A Model Registry That Earns Its Keep
AI systems and economics
Streaming Versus Batch for Model Serving
AI systems and economics
How to scope an AI pilot so it can actually reach production
AI systems and economics
GPU Cost Per Inference and How to Actually Cut It
AI systems and economics
Fine-Tuning Versus Retrieval: A Cost Decision
AI systems and economics
Retrieval Pipelines That Survive Real Documents
AI systems and economics
Feature Engineering That Survives Contact With Reality
AI systems and economics
RAG is the wrong tool when your data is structured
AI systems and economics
Why fine-tuning does not stop a model from making up a number
AI systems and economics
What to ask an AI vendor before you sign
AI systems and economics
Deriving insight from OSINT without inventing any of it
AI systems and economics
Span-Level Provenance: Tracing Every Sentence Back to Its Source Record
AI systems and economics
AI in Education and Workforce Programs: Measuring Outcomes That Hold Up
AI systems and economics
Small reasoning models vs frontier LLMs on your own regulated data
AI systems and economics
Air-Gapped Inference: What Actually Runs With No Network
AI systems and economics
AI and Data Engineering for Mining and Materials
AI systems and economics