AI and NLP resources

AI Workflow Guides and Practical Resources

Practical AI guides for owners and managers in construction, manufacturing, and other businesses. Explore AI risks, hiring and training, pilot planning, and ways to improve the software and workflows you already use.

Use the articles to decide what is worth testing, what to ask a vendor, and how to measure the result. Technical guides explain voice commands, business data, and model choices through concrete operational examples.

Browse the library

Choose a practical starting point

Start with the question closest to the work your team needs to improve.

AI risk · Series guide

AI Risk in 2026: Which Warnings Should Change Your Business Plans?

Choose a starting point for the warnings about superintelligence, rogue agents, jobs, and operational control.

Explore the AI risk series

AI risk · Article 1

Superintelligence Risk: What the AI Extinction Warnings Actually Mean

Examine the researchers’ argument, incident evidence, and probability estimates before changing an adoption decision.

Examine the superintelligence warnings

AI risk · Article 2

Rogue AI Agents: What the Hugging Face Incident Means for Your Business

Learn what happened when agents exceeded their authority, and which demonstrations to request before using AI in your business.

Understand the agent incident

AI risk · Article 3

AI and Entry-Level Jobs: What the Evidence Means for Hiring and Training

Understand the employment evidence, rethink junior roles, and preserve learning while measuring what AI changes in your business.

Assess AI’s effect on hiring and training

AI risk · Article 4

AI Safety for Business: What to Require Before Deployment

Know what to ask before connecting AI to your business systems, how to run a useful pilot, and when to wait.

Set requirements for a business AI deployment

AI planning

How to Prepare for an AI Pilot That Actually Ships

Find the right workflow, involve the people who know it, test difficult cases, and measure whether the pilot improves the business.

Plan an AI pilot around a measurable result

Voice workflows

Voice Commands for Mobile Business Apps

See how a mobile app can understand a spoken request. Then review how it can check and update a business record.

Explore voice commands for field work

Model choices

LoRA Fine-Tuning for Focused Model Updates

LoRA is a focused way to update part of an AI model. Learn when it may fit better than a full retrain.

Compare LoRA with other approaches

Business knowledge

Retrieval-Augmented Generation (RAG) Beyond Basic Chatbots

Retrieval-augmented generation (RAG) gives an AI model relevant text from approved sources. It can look up business records before answering, name its sources, and follow access rules.

Use approved business knowledge with RAG

AI planning

Five Steps to a Practical AI Strategy

Start with one business problem. Then test the fit and set clear review points.

Plan a focused AI strategy

Data workflows

From Data Pipelines to Better Business Decisions

Teams often have useful data spread across several systems. See how they can turn it into checked information for daily decisions.

Connect business data to daily decisions

Software decisions

Add AI or Replace Software?

Compare five ways to improve a workflow. The choices range from current features to replacing part or all of a core system.

Compare software improvement options

Direct answer

Which guide do I need?

Start with the question you need to answer. Compare adding AI to existing software with replacing it, explore when LoRA fine-tuning is useful, or see how retrieval draws answers from approved business records.

For operational examples, explore voice commands in mobile business apps and turning business data into checked information. Use the five-step AI strategy to choose a problem, then prepare a pilot with clear measures of success.

Pick the workflow first

Start with the business problem

Choose the type of work you need to improve. Each solution hub explains the inputs, checks, actions, and system limits.

Start with one workflow

Discuss a Workflow

Show us where work slows down and which software is involved. Tell us what a useful result would look like.