AI & Automation

AI features that belong in a product vs AI demos

Separate demo magic from product responsibility—latency, failure modes, and user trust

September 11, 2025

By Manweba

A demo can wow a room with a single happy prompt. A product feature has to survive empty inputs, slow models, wrong answers, and a user who will blame your brand—not the model vendor. Ship the second kind only.

Start from a job, not a model

Write the user job in one sentence: “Draft a reply from this ticket,” “Suggest three tags,” “Summarize this order history for support.” If you cannot name the job without saying “AI,” you are shopping for a demo.

Prefer features where a wrong answer is recoverable: suggestions, drafts, rankings. Avoid silent automation on irreversible actions until humans approve.

Ship vs do not ship

Ship: named job, recoverable wrong answers, degraded path designed first
Ship: latency and token budget fit the click path (or move to async)
Ship: sources or labels when users might treat output as fact
Do not ship: wow-demo that only works on one happy prompt
Do not ship: silent irreversible actions driven by model output
Do not ship: spinner-then-shrug with no retry, edit, or escalate path

Design the failure before the happy path

Timeouts, refusals, empty retrieval, and low-confidence outputs are part of the UX. Show a clear degraded path: retry, edit manually, or escalate. Never leave a spinner that becomes a shrug.

Feature result with explicit failure modes

typescript

1type DraftResult =
2  | { status: 'ok'; draft: string; model: string }
3  | { status: 'empty_context' }
4  | { status: 'timeout' }
5  | { status: 'refused'; reason: string };
6
7export async function draftSupportReply(
8  ticketId: string,
9): Promise<DraftResult> {
10  const context = await loadTicketContext(ticketId);
11  if (!context.trim()) return { status: 'empty_context' };
12
13  try {
14    const draft = await generateDraft(context, { timeoutMs: 8_000 });
15    return { status: 'ok', draft: draft.text, model: draft.model };
16  } catch (error) {
17    if (isTimeout(error)) return { status: 'timeout' };
18    if (isRefusal(error)) {
19      return { status: 'refused', reason: error.message };
20    }
21    throw error;
22  }
23}

Loading code…

Latency and cost are product constraints

If the feature needs twelve seconds and a frontier model to feel “smart,” it may belong in an async job—not in a click path. Budget tokens per request. Cache deterministic prefixes. Measure p95 like any other API.

Trust requires receipts

Show sources when you retrieve. Label generated text. Keep an audit of prompts and outputs for support disputes (with retention limits). Users forgive imperfect drafts; they do not forgive silent fiction presented as fact.

Final thoughts

Demos sell possibility. Products sell responsibility. Keep AI features tied to a named job, design failure modes first, and treat latency, cost, and provenance as part of the interface—not afterthoughts.

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1type DraftResult =
2  | { status: 'ok'; draft: string; model: string }
3  | { status: 'empty_context' }
4  | { status: 'timeout' }
5  | { status: 'refused'; reason: string };
6
7export async function draftSupportReply(
8  ticketId: string,
9): Promise<DraftResult> {
10  const context = await loadTicketContext(ticketId);
11  if (!context.trim()) return { status: 'empty_context' };
12
13  try {
14    const draft = await generateDraft(context, { timeoutMs: 8_000 });
15    return { status: 'ok', draft: draft.text, model: draft.model };
16  } catch (error) {
17    if (isTimeout(error)) return { status: 'timeout' };
18    if (isRefusal(error)) {
19      return { status: 'refused', reason: error.message };
20    }
21    throw error;
22  }
23}

Start from a job, not a model

Design the failure before the happy path

Latency and cost are product constraints

Trust requires receipts

Final thoughts

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