From a technical idea to a useful mental model

Make the mechanism clear.

A technical concept explainer answers one bounded question with definitions, a concrete example and a visual model whose limits stay visible.

Make this with my agent

Bring your notes. Review a draft before sharing.

Explore the method

01
Start with matching states
Source A and copy A match.
02
Show the mismatch
The source changes to B while the saved copy remains A.
03
Keep the model bounded
A requested refresh makes both B. Automatic expiry, failures and concurrent updates are not modeled.

THE REAL HTML · FICTIONAL EXAMPLEView on its own

A worked example, not a customer result. September 2026 dates are sample facts.

Now make it about your work

Your concept. Your agent. A clearer mental model.

Follow one concrete sequence, with the simplifications beside the explanation.

Start with three things

The audience and one question to answer.
Verified references, relevant versions and a checked example.
Required definitions, exceptions and model boundaries.

Make this with my agent

You review the facts and access. Nothing is published without your approval.

The method behind the technical concept explainerAsk your agent to show the mechanism with labeled states, without implying that an illustrative model describes every real system.

How can I explain a technical concept with an AI agent?

Give your agent verified references, the audience's starting knowledge and one question to answer. Ask for plain-language definitions, a concrete example and a small original static diagram. Check the mechanism and explain the model's limits before sharing the HTML page; an illustration is not a working simulation.

What to give your agent

Verified concept references and the relevant product or protocol version when applicable.
The reader's background and the specific why or how question to answer.
A checked example, required definitions and known exceptions.
Permission to reuse any source material; prefer original diagrams and short attributed excerpts.

Choose one question, not the whole field
An explanation of why a saved copy can be old is narrower than teaching all caching. State what the reader should understand afterward and what remains outside scope. Ask for missing version context when real product behavior depends on it.
Build from a concrete example
Name the parts and follow one event through them. Define unfamiliar terms where they first matter. An analogy can help, but label it as a model and state where it differs from the actual system instead of turning the analogy into a specification.
Use a small diagram only where it helps
Show sequence, ownership or change that would be awkward in prose. Give every state a text label; color alone should not carry meaning. Use original static HTML or CSS visuals rather than copying source figures or promising an interactive demo.
Check both the mechanism and the limits
Review each claim against the authorized reference and separate verified behavior from the illustrative model. Keep counterexamples or qualifications near the claim they change. Share a readable explanation, not invented operational instructions or a claim that the page executes the mechanism.

Keep creating and revising in the agent you already use. Start with a saved artifact style and learn how to update HTML without changing its link.

Use the full promptReady for your agent and your notes

Use the conversation where you already did the work. Only attach material you are allowed to share.

Get the ready-to-copy creation request →

Create a technical concept explainer for [audience] answering [question] from only supplied or authorized verified references. Ask for missing audience or version context. Define essential terms, follow one checked example and include a small original static diagram only if it clarifies the relationship. Label analogies and simplified models, and explain their limits beside the relevant claims. Do not invent product behavior, citations, operational instructions or universal guarantees. Do not copy restricted source figures. Use accessible static HTML with no scripts or forms and my saved style if available; the page is not a simulation. Show the draft and claims to verify. Do not publish or change access without separate explicit approval.

Check before you shareAccuracy, clarity, and permission

Does the explanation answer one bounded question?
Are claims verified for the relevant context or version?
Are model assumptions and exceptions visible?
Does the original static diagram remain understandable without color or interactivity?

When HTML fits

A layered conceptual page that readers can understand without the author narrating every step.

When another format fits better

Use a tested environment for executable demonstrations and authoritative references for operational instructions. Do not use a simplified explainer as safety-critical or high-stakes guidance.

What we started withThe same facts, as a wiki page

Fictional team wiki

Why a saved copy can show an older notice

About the model

Prepared September 7, 2026, by Mika for readers unfamiliar with caching. This is a teaching model, not production documentation. A and B are version labels, not times or product releases.

How the copy becomes stale

The model has one source notice and one reader’s saved copy, holding the last copied value. Initially both say A. Changing the source to B does not automatically change the saved copy, so the next state is source B / copy A: the copy is stale relative to the source.

What refresh changes

The reader then requests a refresh. In this model a refresh successfully copies the current value, producing source B / copy B. They match again.

Model limits

Automatic refresh, expiry, network failures, concurrent changes, multilayer caches, authentication and production policies are outside this model. It is one illustration, not a universal account of caching. No real product behavior is tested, and this provides no executable code, configuration advice or operating procedure.

Inspect the HTMLOne self-contained file

The example is sanitized and isolated from this site. No scripts, forms, or live data.

<!doctype html><html lang="en"><head><meta charset="utf-8"><meta name="viewport" content="width=device-width, initial-scale=1"><title>Saved copies · A bounded teaching model</title><style>
*{box-sizing:border-box}html{color-scheme:light}body{margin:0;background:#f5f8fc;color:#182e46;font:17px/1.65 system-ui,sans-serif}main{max-width:1000px;margin:auto;padding:clamp(20px,5vw,64px)}h1,h2,h3,p{margin:0 0 18px}h1{font:500 clamp(32px,5vw,58px)/1.14 Georgia,serif;letter-spacing:-.025em;overflow-wrap:anywhere}h2{font:500 29px/1.3 Georgia,serif;overflow-wrap:anywhere}h3{font-size:19px;line-height:1.4}.label{font:700 12px/1.6 system-ui,sans-serif;letter-spacing:.08em;text-transform:uppercase}.intro{font-size:20px}.lead{background:#23486b;color:white;padding:24px;margin:28px 0}.lead p:last-child{margin:0}.grid{display:grid;grid-template-columns:repeat(auto-fit,minmax(min(100%,230px),1fr));gap:20px;margin:24px 0}.card{background:white;border:1px solid #bbc5c4;padding:24px}.metric{font:500 38px/1.2 Georgia,serif;display:block;margin-bottom:12px}section{margin:36px 0}ul,ol{padding-left:22px}li{margin-bottom:12px}.note{font-size:14px}.warning{border-left:5px solid #956118;padding-left:20px}a{color:inherit;text-underline-offset:4px}a:focus-visible,summary:focus-visible{outline:3px solid #956118;outline-offset:4px}table{width:100%;border-collapse:collapse;table-layout:fixed;font-size:15px}th,td{text-align:left;vertical-align:top;border-bottom:1px solid #bbc5c4;padding:12px 8px;overflow-wrap:anywhere}caption{text-align:left;font-weight:700;padding:12px 0}pre,code{white-space:pre-wrap;overflow-wrap:anywhere}footer{border-top:1px solid #bbc5c4;padding-top:24px;margin-top:40px;font-size:14px}@media(max-width:480px){th,td{padding:10px 4px;font-size:14px}}@media print{body{background:white}.card,.lead{break-inside:avoid}h2,h3{break-after:avoid}}
</style></head><body><main><header><p class="label">Fictional teaching model / September 7, 2026 / Mika</p><h1>Why can a saved copy show an old notice?</h1><p class="intro">A copy can preserve an earlier value even after its source changes. Follow one simplified sequence—not a simulation of a real cache.</p></header><section><h2>Three states, one change and one refresh</h2><div class="grid"><article class="card"><p class="label">1 / Starting state</p><h3>Source A · Copy A</h3><p>The reader’s saved value matches the source.</p></article><article class="card"><p class="label">2 / Source changes</p><h3>Source B · Copy A</h3><p>Changing the source does not automatically change the saved copy in this model. The copy is now stale.</p></article><article class="card"><p class="label">3 / Reader refreshes</p><h3>Source B · Copy B</h3><p>A successful refresh copies the current source value. They match again.</p></article></div></section><section class="lead"><h2>The important distinction</h2><p>The source holds its current value. The saved copy holds the last value copied to it. A and B are version labels, not measured times or product releases.</p></section><section class="warning"><h2>Where this model stops</h2><p>No automatic refresh, expiry, network failure, concurrent update, multi-layer cache or authentication is modeled. Real systems can use different policies.</p><p>This is one reason a copy can differ from a source—not a universal description of production caching behavior.</p></section><section><h2>Read the sequence; nothing runs here.</h2><p>The original diagram is static HTML with text labels for every state. It makes no browser or server behavior claim, provides no configuration instructions and executes no refresh.</p></section><footer>Fictional worked example by share/artifacts. Names, dates, figures and records are invented for demonstration. Static snapshot; no live data or automatic updates.</footer></main></body></html>

The original worked scenarioThe source scenario, step by step

Why a saved copy can show yesterday's notice

A deliberately simple fictional model, not a specification for every cache.

The original notes

In the model, a source notice says version A. A reader's saved copy also says A. The source changes to B, but the saved copy stays A until the reader requests a refresh. Refresh copies B from the source to the saved copy. No automatic refresh, expiry, network failure or concurrent update is modeled. This teaches one reason a copy may differ from a source, not all production caching behavior.

Starting state

Source A and saved copy A match.

Source changes

Source becomes B; the saved copy stays A.

Refresh

The reader requests a refresh, which copies B to the saved copy.

Model limit

No automatic refresh, expiry, network failure or concurrent update is modeled; this is not all production caching behavior.

The sequence explains staleness while keeping the simplifications visible.

Questions, adaptations & sourcesGo deeper when you need to

Can the page include an interactive simulation?

Not in this static workflow. Use a clearly labeled sequence of states or worked examples; keep executable demonstrations in an appropriate separate environment.

Is an analogy enough?

Only if the reader also sees which parts map to the concept and where the analogy breaks. A memorable comparison should not replace the factual mechanism.

How is this different from a tutorial?

An explainer builds understanding of a bounded idea. A tutorial guides a learner through a task. Keep instructions in their proper place rather than letting the explanation imply an untested procedure.