In my last blog post, I wrote about how easy it was to create custom software for construction. This is especially easy when using a tried-and-true framework like tkinter. We even used a local model to create a file renaming tool in ONE SHOT!

Well, that begs the question:

OR

Umm, (nervous laughing sounds) yeah, these are possibilities, but let's look at what is happening in the real world.

The "SaaSpocalypse": What Happened?

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The "SaaSpocalypse" was a sharp stock selloff in early 2026 across software-as-a-service (SaaS) stocks. Concerns that rapidly advancing AI agents could replace portions of traditional software and weaken the long-term economics of per-seat SaaS business models drove speculation.

Anyway, here are the numbers:

Company Approximate Drawdown Reported Main Concern
Salesforce (CRM) ~50% AI disruption to traditional SaaS pricing and workflows
ServiceNow (NOW) ~40-70% AI agents potentially replacing workflow software functions
Adobe (ADBE) ~20-40% Generative AI reducing barriers to content creation tools
Atlassian (TEAM) ~40-70% Concerns about AI-native alternatives and valuation reset
HubSpot (HUBS) ~40-70% Questions about AI's impact on SaaS application layers

Many SaaS companies continued reporting healthy growth and strong margins, so the collapse was not fueled by immediate concerns. The re-pricing was based on fears that AI will reduce the need for large numbers of software seats, make custom software cheaper to build, and shift value away from SaaS products and toward AI platforms. In other words, much of the repetitive clicky-clicky work would be automated, and companies could slash the number of software licenses by spending money on AI tokens.

NOTE: QC Database is a SaaS, but we have never sold per-seat licenses. All packages allow unlimited users and we encourage broad participation in QC Database projects, which serve as abstractions of your quality program. Anyone who needs to join a QC Database project can be invited.

Where Things Stand Today

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By mid-2026, SaaS stocks now have a more stable price. While some software stocks remain well below their peak valuations, several companies rebounded strongly with viable AI strategies and continued customer growth (we are working to do the same).

If you are working on a software idea, don't give up just yet. With AI coding tools, you can build a prototype in a day. Just think about how you can incorporate AI into your tool in a domain-appropriate way. Speaking of incorporating AI...

Further Reading on the SaaSpocalypse:

Why use QC Database at all?

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After speaking with some of our customers, coordination and accountability are primary concerns of quality managers.

That is reason enough for us to keep QC Database around, but here is a more complete list:

  1. Accountability – Every action is tied to a verified human user, timestamp, and audit trail.

  2. Coordination – Contractors, clients, inspectors, and third parties work from the same source of truth, eliminating duplicate entry and communication gaps.

  3. AI-Ready – Cloud-based agents can process documents, extract data, build turnover packages, and assist teams without replacing established workflows.

  4. Industry Standardization – Built and refined alongside contractors over 12 years, QC Database captures proven quality processes instead of reinventing them on every project.

  5. Reliability – A dedicated platform maintained for construction quality management, available whenever your project team needs it.

  6. Traceability – Every weld, flange, document, inspection, and turnover record remains connected and searchable throughout the life of the project.

  7. Compliance – Structured records, approvals, and document control help satisfy customer, regulatory, and contractual requirements.

  8. Institutional Knowledge – Project data remains with the organization instead of being scattered across personal AI chats, spreadsheets, and email inboxes.

  9. Interoperability – Human users, AI agents, and third-party systems can collaborate within the same controlled environment.

  10. Lower Risk – AI can draft, summarize, and extract information. QC Database provides the controlled system of record needed to defend decisions years later.

  11. Faster Turnover – Quality records are organized as work progresses, reducing end-of-project scrambling and accelerating package delivery.

  12. Built for Construction – General-purpose AI tools know language. QC Database knows weld maps, turnover packages, NDE reports, MTRs, hydro tests, and real construction workflows.

The Rise of the MCP Server

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Anthropic released their concept for a 'USB cable' for AI agents called the Model Context Protocol or MCP in November 2024. In 2026, MCP servers are taking the industry by storm.

MCP servers allow multiple AI agents to talk to each other while they work, but they also allow human users to talk to more traditional software, like a database, with an AI client.

If you feel like AI agents and clients will replace web applications, or even the web browser, you are not alone.

This is where our new MCP Server comes in. If you want to tell your AI agent to update QC database, you can now do this in a reliable and predictable way. Just add our MCP server to your AI client. Currently, this MCP server includes tools to:

Link to the new QCDatabase.AI MCP server

This is our first draft of an MCP server, and we will add more functionality over time. We will also build a remote MCP server in the near future, allowing you to work on QC Database from your mobile AI chat/agent.

TLDR

QC Database is a powerful coordination tool purpose-built for Construction Quality. We strive to stay ahead of the curve in the AI age, while remaining a reliable, deterministic tool for project documentation and turnover.