The words,
without the jargon.

An MVP is the smallest version of a product that can test whether people actually want it. It is real working software with real users, not a prototype or a mockup.

Why it matters · The point is to learn quickly and cheaply. Most MVPs fail by being too large — everything on the first list feels necessary because you are imagining the finished product rather than the question you need answered.

A multi-tenant system serves many customers from one application while keeping each customer's data separate. Almost every SaaS product works this way.

Why it matters · How you separate that data is the architecture decision hardest to change later, and the one most rewrites trace back to. Get it wrong and you find out when one customer sees another's records.

An API is a defined way for two pieces of software to exchange information. It is how your website tells your accounting system that an order was placed.

Why it matters · If someone in your business re-types the same data between two systems every week, that person is doing what an API should. It is usually the highest-value integration work available and among the cheapest.

Technical debt is the accumulated cost of decisions that were quick at the time and make future changes slower. Like financial debt it is sometimes worth taking on deliberately, and it compounds if ignored.

Why it matters · The symptom is that small changes take weeks. Not all of it is worth repaying — debt in code nobody touches costs nothing. What matters is debt sitting in the parts you change often.

An idempotent operation produces the same result whether it runs once or several times. Sending the same payment request twice should create one charge, not two.

Why it matters · Networks retry, people click twice, and webhooks get redelivered. Without idempotency those become duplicate orders and duplicate charges. It is unglamorous and it is why a customer does not get billed twice.

RAG is a way of connecting an AI model to your own documents so it answers from your information rather than from whatever it absorbed during training. The model retrieves the relevant passage first, then answers using it.

Why it matters · It is what stops a chatbot inventing your shipping policy. It also means updating an answer is editing a document rather than retraining a model, so your information stays current without engineering work.

Fine-tuning adjusts an AI model using your own examples so it writes in your style and format. It changes how the model expresses things — not what facts it knows.

Why it matters · This distinction is the most common expensive mistake in AI projects. Teams fine-tune to teach a model their prices, then have to retrain every time a price changes. Facts belong in retrieval; fine-tuning is for tone and structure.

Headless commerce means building your storefront separately from the system that handles products, orders and payments, connected by an API. You control the shopping experience completely; the platform still does the commerce.

Why it matters · It buys speed and design freedom at roughly double the build cost and ongoing maintenance you did not previously have. Worth it at high traffic or with unusual merchandising rules. Not worth it because it sounds modern.

Staff augmentation means adding developers to your existing team rather than outsourcing a project. They work your board, attend your standups, and take direction from your lead.

Why it matters · The difference from an agency is who decides what gets built. Augmentation suits a roadmap that moves week to week; a fixed project suits a scope you can define upfront.

Core Web Vitals are three measurements Google uses to judge how a page feels to load: how fast the main content appears, how quickly the page responds to a tap, and whether things move around while loading.

Why it matters · They affect rankings, and they affect revenue more directly than that — a slow page loses visitors before they see anything. On mobile this is frequently the single largest conversion improvement available.

AEO is the practice of structuring content so AI assistants can quote it when answering a question. It overlaps heavily with SEO but rewards a different structure: the answer must come first.

Why it matters · People increasingly ask ChatGPT or Claude rather than searching. Those assistants quote pages that answer directly — a page building up to its point over six paragraphs gets read and not cited.

Conversion rate is the share of visitors who complete the action you want — buying, enquiring, signing up. A store where three of every hundred visitors buy has a three percent conversion rate.

Why it matters · Improving it is usually cheaper than buying more traffic, and it improves the return on every channel at once. It is also permanent in a way that a month of advertising is not.

CI/CD is the practice of automatically testing every code change and deploying it without manual steps. Merging a change ships it.

Why it matters · Painful deploys make releases rare, rare releases contain more change, and more change is what actually breaks things. Automating this makes releases small and frequent, which is the single biggest thing you can do for reliability.

SOC 2 is an independent audit confirming a company follows defined practices for security and handling customer data. Type I checks the controls exist on a date; Type II checks they operated over months.

Why it matters · Enterprise customers increasingly require it before signing. Most of the work is evidence rather than security — proving you did what you already do, consistently, which is why automating evidence collection matters more than the controls themselves.

A penetration test is a person deliberately attempting to break into your application to find weaknesses before an attacker does. It is mostly manual work, not an automated scan.

Why it matters · Scanners find known patterns. They cannot notice that changing one number in a URL shows another customer's invoice — and that class of flaw is where the real damage lives. If a quote sounds cheap and fast, you are probably buying a scan.

A white-label product is built by one company and sold under another company's brand. Your customers see your name; the underlying software is licensed.

Why it matters · It lets you offer something quickly without building it. What to check is who owns the customer relationship, what happens if the supplier changes terms, and how much of the experience you can genuinely control.