Building With AI
Articles on building software with AI tools, the problems people hit along the way, and what the data says about vibe coding in 2026.
BUSINESS PLUGINS // CHECKED 5 OCTOBER 2026
How to build a business plugin for ChatGPT
Work through service information, CRM connections, customer access, costs and publication. Each article answers a specific question with a practical design you can review.
How to Build a ChatGPT Plugin for Your Business
Build a business ChatGPT plugin around one customer task. Work through tools, data, authentication, testing and publication with a concrete service example.
How to Make Your Business Services Available Inside ChatGPT
Turn service information into useful ChatGPT capabilities. Separate public service facts, live availability and customer-specific information.
How Can Customers Request a Quote Through ChatGPT?
Understand ChatGPT's local-service Get Quote beta and design a request that gives customers clarity and your team useful job details.
How to Connect a ChatGPT Plugin to Your CRM
Connect a ChatGPT plugin to your CRM without creating a messy sales queue. Map contacts, requests, ownership, permissions and repeated submissions.
How to Get Your ChatGPT Plugin Discovered by Customers
Separate directory access, tool selection and customer acquisition. Build a practical discovery test and distribution plan for your ChatGPT plugin.
How Much Does a Business ChatGPT Plugin Cost to Build?
Estimate a business ChatGPT plugin using scope, integrations and maintenance. Includes an illustrative AUD budget and questions for comparing quotes.
Custom GPT or ChatGPT Plugin for Your Business? The 2026 Decision
Decide what to build as custom GPTs move towards retirement. Separate reusable instructions from live integrations and plan a tested plugin replacement.
How to Build a ChatGPT Plugin Without an Existing API
Compare spreadsheets, approved exports and legacy-system adapters as plugin data sources. Choose a connection that fits the task and its freshness needs.
How to Publish a Business Plugin in the ChatGPT Directory
Prepare a business ChatGPT plugin for public review. Separate package, server, reviewer access, approval and publication into verifiable milestones.
How to Let Customers Check Order or Booking Status in ChatGPT
Design an authenticated ChatGPT status lookup with the right customer record, current information and a clear response when the source is unavailable.
Estimating Automation: Connecting Cubit, Buildertrend and Excel
How to scope estimating automation across Cubit, Buildertrend and Excel, with checks for cost codes, revisions, approvals and project handover.
AI Training for Engineering and Professional Services Teams
Plan practical AI training for technical teams: compare tools on real reporting tasks, set data rules and teach staff how to check the output.
AI for Gym Staff: Practical Training and Lead Follow-Up
Where gyms can use AI for lead follow-up, member communication and admin, plus a practical staff training plan and checks before connecting GymMaster.
Offline Field App Development: What to Scope Before a Quote
Scope an offline field app with local saving, clear sync states, conflict handling and acceptance tests before asking for a fixed-price development quote.
In-House Analytics Tag Testing: What a Crawler Must Check
Plan in-house analytics tag regression testing with browser journeys, network evidence, repeatable checks and a clear boundary around compliance claims.
Self-Improving Agent Loops: Why Iteration N+1 Often Makes Things Worse
Self-critique with no external signal degrades output. What Ralph loops, context accumulation and real verification gates mean for loop engineering.
AI Agents Are Becoming Your Customers: What Agentic Commerce Means for Builders
AI agents already make up more of the web's traffic than humans do. Here's how agent payments work in 2026, and what builders need to secure before agents start buying.
When You Actually Need Multiple AI Agents (and When One Agent and a Loop Wins)
Multi-agent architectures are fashionable and most builders reach for them too early. How to tell whether your problem needs orchestration, and what reliable single-agent structure looks like first.
How to Get an LLM to Classify Things Reliably
Your classifier is right 80% of the time and you need it right every time. A practical guide to taxonomies, structured output, examples, eval sets and escalation.
What Breaks When Real Users Arrive: Making an AI-Built App Production Ready
Your AI-built app works on your machine. Here is the pre-launch checklist that keeps it working once strangers, bots and bad days show up: database rules, spend caps, backups, monitoring and the ergonomics nobody builds until someone complains.
Collecting Web Data for Your App Without Getting Blocked
How to get external data into your app without hitting rate limits or breaking rules: check for an API first, cache everything, back off properly, and run jobs over hours.
Using AI to Build a Test Suite for an App You Did Not Write
How to get AI coding agents to write tests that actually catch bugs, why generated tests often assert the bug as correct, and what to test first when you have no tests at all.
The AI Built a Beautiful Interface but Nothing Works: How to Close the Prototype Gap
Why AI coding agents produce convincing front ends with no working backend, and the vertical slice method that gets you from prototype to an app real people can use.
Getting Lost in What the AI Agent Is Doing: How to Stay in Control of an AI Build
AI coding agents edit dozens of files while you watch. Here is how to keep visibility over what changed, catch bad edits early, and roll back without losing your work.
The AI Isn't Following Your Instructions: How to Write Briefs Agents Actually Follow
You ask for one thing and get another. Here is why AI coding agents drift from your instructions, and the briefing structure that keeps output matching what you had in mind.
Running Out of Tokens Halfway Through a Build: How to Make Your Context Last
Hitting token limits and rate limits mid-build is a context management problem, not a budget problem. Here is how to cut token burn and keep working when the limit lands.
You Can Build Anything Now and Still Finish Nothing: How to Actually Ship the Project
AI removed the technical barrier to building and left the finishing problem untouched. Here is why AI-assisted projects stall at 80%, and the scoping method that gets them shipped.
Connecting Your AI App to Other Tools Without Leaking Your Keys
API integrations are where AI-built apps break and where secrets leak. Here is how to connect to Notion, Stripe or any other service safely, and what to check before you deploy.
Vibe Coding Demographics 2026: Who Is Building with AI?
63% of vibe coding platform users identify as non-developers. We break down who is actually vibe coding in 2026 by role, geography, age, and experience level.
Vibe Coding Tools 2026: The Complete Market Landscape
From Cursor's $2B ARR to Lovable's $400M, the AI coding tools market is exploding. Here's the complete 2026 landscape with pricing, features, and which tool fits which use case.
Vibe Coding Governance: Enterprise Frameworks for AI-Generated Code
Only 12% of enterprises have mature AI governance. Here's what the other 88% need: frameworks, security protocols, IP protection, and compliance requirements for AI-generated code.
Vibe Coding Best Practices: What Engineering Teams Should Track
Metrics that matter, security protocols, review processes, and testing strategies for teams adopting AI coding tools. A practical framework based on industry data.
Vibe Coding Market Forecast: From $4.8B to $26B by 2030
The AI coding tools market is growing at 27% CAGR. Cursor hit $2B ARR in 3 years. Lovable adds $100M per month. Here's where the market is heading.
The Future of Vibe Coding: From Assistants to Autonomous Agents
Senior engineers at Spotify haven't written code since December 2025. Agentic development, multi-agent teams, and the shift from coding to orchestration define what's next.
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