CrushOn AI vs Janitor AI: Verify Control, Setup and Cost

Start with the control you actually need

Control in AI chat can mean at least four different things: finding an existing character, editing a character definition, selecting the model that processes a turn, or controlling the bill produced by that model. These are separate requirements. A searchable catalog does not prove editable prompts; an API-key field does not prove low cost; a long-context label does not prove accurate recall.

The checked public routes did not provide enough current first-party evidence to assign CrushOn or Janitor to those capabilities. Treat the familiar “browser versus workshop” distinction as a hypothesis to verify, not a product fact. Write one mandatory field before signing in—for example, “exportable character definition” or “no variable model bill”—and reject any route whose live interface or checkout cannot demonstrate it.

This keeps the decision tied to observable evidence. It also prevents a cached screenshot or old review from silently becoming a 2026 entitlement claim. Stop before payment when a mandatory control remains unknown.

Separate a character browser from a model workshop

A browser-style product would expose discovery fields such as search, tags, character descriptions and visible public/private status. A workshop-style product would expose editable definitions, import/export, persistent settings or a model-routing surface. These are evaluation categories, not verified descriptions of either product on the check date.

Open each live account and record which fields actually exist, which require payment and which persist after logout. If a control is visible only in another publisher’s screenshot, leave it unknown. If a setting appears but its persistence is undocumented, test persistence with harmless text and record the literal result. Do not infer context length, output quality or moderation behavior from the presence of a settings label.

The failure route is paying for the category name rather than the required field. A product can look like a workshop while keeping its underlying route fixed, or look like a browser while allowing deeper editing after login. Only the current account can close those gaps.

Build the Control-and-Cost Boundary Sheet

The decision tool below converts abstract needs into a short purchasing check. Because the public pages did not provide enough current detail, the table does not pretend to compare unverified product features. Instead, it tells the reader exactly what to inspect in each live account, what counts as a pass and when to stop before payment.

Control-and-Cost Boundary Sheet

The sheet separates visible evidence from what the reader merely hopes the product supports. It also keeps unlike fields apart: an easy first message cannot compensate for unclear renewal, and an editable card cannot prove that a selected model persists. Fill only the rows that matter to the intended workflow; a mandatory row that does not reach its pass condition ends the purchase test.

Hypothetical worked example

Need: “I want to find a suitable character and preserve one editable instruction across 30 messages.”

Reader's record: enter the visible discovery fields, editor fields, paywall and persistence result for each product after completing the checks above.

Supported interpretation after a successful check: the observed account supports that one workflow on that date.

Unsupported inference: that the setting survives every update, that output quality is superior, or that the same action is free on another account.

Next action: run ten harmless messages without changing other variables, sign out and back in, then record whether the instruction and conversation state remain. Stop if a mandatory editor or cost disclosure is unavailable.

Test one scene without changing five variables

Reliable evaluation isolates only controls the current interface actually exposes. Choose one harmless scene and preserve the same opening, character selection and visible settings across five turns. If temperature, model or context controls do not appear, mark them unavailable in that account rather than inventing values. Record the literal reply, any paywall and whether a stated fact survives the next turn.

Changing the character, route, prompt and media request at once makes the result uninterpretable. A failed recall supports only “this turn did not recall the fact”; it does not identify the hidden cause. A successful five-turn sample supports only that short sample, not weeks of continuity.

Set the stop condition before testing. For example: reject a route after two failures of the one mandatory field or when the final charge cannot be identified before authorisation. The threshold is the reader’s purchasing rule, not a product benchmark.

Read missing public evidence as a verification task

The 2026-09-07 checks revealed that CrushOn’s pricing and policy routes returned access-control responses, while Janitor AI’s help and pricing pages lacked stable first-party detail on models, context windows, or media rules. These gaps are not proof that features are absent; they are proof that the user must verify them personally before payment.

Treat every missing field as an explicit task: open https://crushon.ai, reach the live checkout, screenshot the displayed plans, then repeat for Janitor’s current interface. Only data captured on the day of purchase counts as evidence. Older third-party screenshots or community spreadsheets fall outside the verified boundary and must be discarded.

This verification mindset prevents surprise billing or sudden loss of media entitlements. It also explains why direct comparison tables from prior years no longer serve as reliable references.

Take a third route only for a different job

When neither browser-first nor workshop-first routes supply the required combination of known cost and reproducible control, a bounded alternative can be considered for a narrower job. AISoul is an adults-only browser companion that supplies one active fictional companion initiated by the user. Registration uses email/password or supported sign-in, with no visible DOB or identity-document field.

The free allowance resets daily by Beijing calendar: 50 messages and 5 finite-gallery photos, plus 2 clear clips over the account lifetime. An active Pass removes published quantity caps on chat and eligible gallery-photo or short-clip retrieval while unlocking 18+ media. Passes are one-time, non-renewing: 7-Day $4.99, 30-Day $8.99, 90-Day $19.99, Annual $49.99. Payment method, foreign exchange, tax, and bank approval vary. Chats remain private to other users, yet AISoul makes no end-to-end encryption claim and external providers may process content. AISoul is explicitly not therapy, crisis care, dating, or a human relationship.

Official sources: https://www.aisoul.work/pricing.html, https://www.aisoul.work/about.html, https://www.aisoul.work/privacy.html, https://www.aisoul.work/terms.html.

AISoul media is finite-gallery retrieval: the system returns the closest pre-generated eligible match or fallback and describes the delivered asset. It is not on-demand generation, unlimited unique files, live calls, or prompt-to-video. The publisher operates AISoul.

Disqualifiers are as clear as benefits: if the job requires fresh image generation, external model routing, or public character sharing, AISoul is not relevant. It resolves only the concrete job of bounded, repeatable text-plus-retrieval companionship with transparent daily and pass-based limits.

The SpicyChat versus Janitor comparison offers another evidence-bounded comparison. Use the CrushOn alternative page when leaving the product is already the decision. The adult chat product page describes AISoul's narrower one-companion contract.

CrushOn and Janitor questions that change the route

Is CrushOn AI or Janitor AI easier to start?

The public check did not establish which one is easier. Measure the current path yourself: count required account fields, clicks to the first harmless message, mandatory configuration and any paywall before a reply. The product with fewer steps wins only for this start-up requirement. That result does not establish better conversation quality, lower long-term cost or easier character maintenance.

Which one is cheaper for regular roleplay?

Current plan names, credit costs and message rates could not be read from stable first-party sources for either platform on the check date. Therefore neither can be declared cheaper. Open both live checkouts, record the exact recurring and variable charges shown that day, then compare them against the same planned message volume. Any earlier price list remains outside this page’s verified boundary.

Does Janitor AI require an external model or API key?

The checked evidence was insufficient to confirm whether Janitor AI currently requires, permits or omits an external key. Inspect the live account for a model selector, provider field, API-key requirement and a documented default route. If an official instruction marks the key optional, it is not required for that route; if the interface blocks progress without one, it is required for that observed workflow. Keep the answer unknown until one of those states is visible.

Can CrushOn or Janitor send the exact images I request?

Neither platform’s current media policy or image pipeline was readable from stable public sources during the check. The answer is therefore unknown. In each live account, first identify whether the product promises generation, retrieval or no media for the selected route; then submit one harmless, specific request and record the file and any balance change. One match does not prove exact delivery will generalise. AISoul, by contrast, documents finite-gallery retrieval only.

When is AISoul a relevant alternative?

AISoul becomes relevant when the job is one adult fictional companion plus finite-gallery media retrieval under published, non-recurring Pass terms. It is disqualified when the requirement is a public character catalog, editable model routing, live calls or fresh exact-scene generation. Its free and paid limits are documented on the linked product pages, but those facts do not prove higher output quality. The publisher operates AISoul and should be treated as an interested source.

Access record, source limits and update boundary

All statements above rest on evidence boundaries checked 2026-09-07. CrushOn AI official homepage, pricing, and policy routes returned access-control responses; current plan names, prices, credits, context sizes, media entitlements, privacy behavior, and character counts were not independently readable. Janitor AI searches and direct requests did not expose stable first-party help or pricing sufficient to verify model routes, BYOK requirements, price, context, memory, media, privacy, or moderation. These gaps are decision-relevant and must be closed by the reader on the day of use.

AISoul facts were verified against its own published pages on the same date and are stated with exact entitlements and disqualifiers. No old third-party prices, performance numbers, or community benchmarks were retained.

The page may direct readers to inspect https://crushon.ai and the live Janitor interface and policies, but no unverified field is presented as fact.

Last researched: 2026-09-07. Pricing checked: 2026-09-07.

Publisher disclosure: the operator of this site also operates AISoul, an adults-only companion with the finite allowances and one-time Passes described. AISoul is not a replacement for model routing or fresh image generation.

What was not tested: real-time moderation behavior, long-context coherence beyond 50 messages, actual billing flow completion, image-prompt match rate on paid plans, data-retention after account deletion, or any mobile-app experience. No exploits, stress tests, or competitive rankings were performed. Exact update date: 2026-09-07.