Creepy
Creepy is an on-device Android AI agent that accepts user questions about phone settings and troubleshooting, then outputs step-by-step guidance paired with direct deep links to the relevant Android settings screens. The tool runs a 2B language model locally on the device for privacy, stores all conversation history in a searchable, filterable format on the device, and suggests scenario-based prompts for common issues like battery drain and storage cleanup. It does not require Gemini as the default assistant and does not send data to the cloud unless the user explicitly enables sync. The agent reasons across multi-step Android settings paths and translates plain-language problem descriptions into actionable menu navigation.
Creepy is an on-device Android AI agent, priced at $9.9 a month on the Creepy Pro plan. InnovaAI rates it 4 of 10 for agency adoption, best for Operations Manager, Support Engineer and Customer Onboarding Specialist roles.
Agency Audit
Creepy is an on-device Android AI agent that guides users through settings and troubleshooting via step-by-step instructions and direct deep links, running a 2B model locally so no data leaves the device. For agencies offering Android technical support, onboarding, or device-management services to clients, Creepy compresses support-ticket resolution time by eliminating the need for agents to manually navigate Android's settings trees or write lengthy text guides. Operations and support teams benefit most, as the tool reduces the cognitive load of multi-step Android tasks and creates searchable institutional memory of past fixes.
5recommended
40/mo
$2,990/mo
Low
Illustrative scenario. Not a guarantee. Net capacity is the value of reclaimed time at $75/hr, less the lowest verified paid base plan (flat plan cost is shared). Hours saved come from the service estimate; implementation, taxes, and unprovided usage charges are excluded.
- Operations Manager handling android device troubleshooting ticket resolution
- Support Engineer handling client onboarding and initial device setup
- Customer Onboarding Specialist handling multi-step settings configuration guidance
- Your agency primarily supports iOS clients or works across mixed ecosystems where Android represents less than 20% of support volume; the per-seat cost will not justify the narrow use case.
- Your support workflows are already fully automated via chatbots or ticketing integrations and you have no need for an additional chat interface or local device history.
- Your team rarely handles multi-step Android configuration tasks and instead focuses on app-level or network-level troubleshooting that does not require navigating Android settings menus.
Internal Adoption Path
$9.90/mo
$9.90/mo flat plan
40 hr/mo
5 seats × 8 hr each
$3,000/mo
modeled at $75/hr labor rate
$2,990/mo
value − subscription cost
In this model, 5 seats reclaim 40 hours of team time each month. Valued at $75/hr that is $3,000/mo, and after the $9.90/mo subscription it leaves $2,990/mo of capacity for billable client work.
Illustrative scenario. Not a guarantee. Uses the lowest verified paid base plan. Implementation, taxes, and unprovided usage charges are excluded.
Platform Features
Core capabilities of Creepy
On-device 2B model execution
Runs inference locally on the user's Android device without requiring cloud connectivity or Gemini as the default assistant. Operations teams avoid the need to configure cloud-based AI infrastructure and reduce support escalations for users in low-connectivity environments.
Actionable deep links to Android settings
Generates direct links that open the exact Android settings screen referenced in the guidance, eliminating the scavenger-hunt step of manual menu navigation. Support agents save 2-3 minutes per ticket by removing the need to write out full menu paths or create screenshot guides.
Searchable local device history
Stores all past fixes and guidance exchanges on the device in a filterable, keyword-searchable format. Support teams build institutional memory without relying on external documentation systems, and end users can self-serve by reviewing their own prior fixes.
Scenario-based chat suggestions
Opens with pre-populated prompts for common Android issues like battery drain, storage cleanup, and work-profile setup. Reduces the friction of users formulating their own questions and accelerates first-response time for high-volume support workflows.
Step-by-step guided paths
Breaks multi-step Android tasks into numbered, actionable steps with screen names highlighted at each stage. Support agents and end users follow a linear path instead of parsing dense text, reducing misunderstanding and support callbacks.
Plain-language problem translation
Accepts user descriptions of phone problems in conversational language and maps them to the actual Android settings and menus required to fix them. Operations teams no longer need to interpret vague support requests or ask clarifying questions before providing guidance.
What Makes Creepy Different
Unique advantages vs similar tools in this niche
On-device AI processing for privacy
vs Cloud-based assistants like GeminiRuns a 2B model locally so answers and history stay on the phone by default.
Deep links that open exact Android settings screens
vs Manual navigation through settings menusWhen Android exposes a direct route, Creepy provides a link that jumps straight to the setting.
Value Equation
Outcome-likelihood-time-effort assessment for Creepy
Limited agency channel
Creepy scored below the agency-resellability threshold (agency_fit_score < 50). The Value Equation projects agency-side outcomes, which don't apply to tools without a clear resell pathway.
Contact CreepyPricing
Creepy platform cost to your agency
Creepy Pro: $9.90/mo
Creepy Pro
- Unlimited guided how-to answers
- Actionable deep links into Android settings
- On-device 2B model
- Scenario-based chat suggestions
No verified white-label program for Creepy: client-facing delivery runs under the platform's native branding.
Market Intelligence
Offer + scale economics for Creepy
Limited agency channel
Creepy scored below the agency-resellability threshold (agency_fit_score < 50). It's a useful tool but not designed for white-labeled or retainer-based reselling, so we don't publish productized offer economics for it.
Contact CreepyInvestment Decision Framework
Strategic vetting analysis for Creepy
Situational Fit
Fit depends on your client mix
Buy If
3Your team manages Android devices for enterprise clients and wants to reduce support ticket volume by giving end users a self-service tool that stores local history of past fixes they can reference independently.
Your support or operations team fields 10+ Android device troubleshooting questions per week and currently spends 3+ hours writing step-by-step guides or repeating the same navigation instructions across tickets.
You onboard Android users as part of a client service and need a repeatable, searchable way to guide them through initial setup tasks like work profiles, permissions, or accessibility features without escalating to live chat.
Skip If
3Your agency primarily supports iOS clients or works across mixed ecosystems where Android represents less than 20% of support volume; the per-seat cost will not justify the narrow use case.
Your support workflows are already fully automated via chatbots or ticketing integrations and you have no need for an additional chat interface or local device history.
Your team rarely handles multi-step Android configuration tasks and instead focuses on app-level or network-level troubleshooting that does not require navigating Android settings menus.
Bottom Line
Creepy is an on-device Android AI agent that guides users through settings and troubleshooting via step-by-step instructions and direct deep links, running a 2B model locally so no data leaves the device. For agencies offering Android technical support, onboarding, or device-management services to clients, Creepy compresses support-ticket resolution time by eliminating the need for agents to manually navigate Android's settings trees or write lengthy text guides. Operations and support teams benefit most, as the tool reduces the cognitive load of multi-step Android tasks and creates searchable institutional memory of past fixes.
Reality Check
Creepy only addresses Android devices; iOS-heavy agencies or teams supporting mixed ecosystems will see limited ROI. The tool requires team members to adopt a new chat interface for support workflows, which may face resistance if your current ticketing or documentation system is already entrenched.
Low effort: self-service setup with guided onboarding
Academy for Creepy
Work through it in order: the course for this service first, then the modules behind it.
Course for this service
Creepy Agency Implementation, Support Automation & Device Troubleshooting
Learn how to integrate Creepy's on-device AI agent into your support workflow to reduce ticket resolution time and build searchable troubleshooting libraries. This course covers white-label deployment, support team training, and productized troubleshooting services that leverage actionable deep links and local device history to cut support costs.
Open the courseNo Academy modules are published for this service yet. Browse the full Academy
Why this category matters
The commercial case before the tooling.
Core concepts
The mental model you need to price and scope the work.
- Retainer Anchoring RatioConcept
Retainer Anchoring Ratio is the proportion of an in-app assistant engagement that survives the client's decision to self-serve the software. A no-code tour builder is a line item a product manager can cancel in a renewal cycle; the segmentation logic, journey map, and iteration cadence around it are not. Agencies that price the tool as the deliverable anchor the retainer to the cheapest, most replaceable component. Those that price the insight layer anchor it to work the client cannot reproduce internally. The ratio matters because vendors keep compressing deployment effort: UserGuiding and Userflow both ship no-code tours, checklists, and surveys that a client's own team can publish without an agency. Chameleon pushes further with AI agents that surface friction and generate guidance automatically, which removes another slice of manual labor an agency once billed for. The defensible remainder is judgment: which segments get which experience, what the retention data means, and what changes next sprint. Price that, and the software becomes the client's cost, not your ceiling.
- Guidance Debt CompoundingConcept
Guidance Debt Compounding treats every unresolved in-app friction point as a liability that accrues interest. A confusing settings screen, an unlabeled feature, or a missing empty state does not stay static: it generates repeat support tickets, stalled onboarding, and quiet churn that grows with each new user cohort. Agencies that sell in-app assistants as one-off tour builds miss the compounding math. The higher-margin play is a debt-reduction retainer: audit friction sources, ship guidance against the top three, then measure whether ticket volume and time-to-first-value improve before the next sprint. Chameleon's AI agents, which identify user friction and monitor retention impact, illustrate the audit layer. UserGuiding's knowledge base plus AI assistant shows how self-service guidance retires recurring support load. The framework reframes the engagement from 'build a tour' to 'pay down a balance,' which justifies recurring fees and gives clients a metric they already track.
- Adoption Attribution SplitConcept
Adoption Attribution Split is the practice of separating adoption gains caused by in-app guidance from gains caused by product changes, pricing shifts, or seasonality before an agency claims credit. It matters because in-app assistants sit on top of the client's product, so every tour, checklist, or tooltip competes with roadmap work for the same metric. Without a split, agencies either overclaim (and lose trust at the first flat month) or underclaim (and get treated as a tool reseller). The split is built from three inputs: a holdout cohort that never sees the guidance, event-level completion data from the assistant, and a baseline period before launch. Userflow's real product signals let teams trigger experiences at the right moment, which makes holdout design cleaner than time-based comparisons. Chameleon's AI agents monitor retention impact, giving a second read on whether lift persists past week two. Present the split as a one-page table in the retainer review, not a dashboard screenshot.
Decision and risk
How to judge the fit, and the ways it goes wrong.
- In-App Assistants Rule: Sell the Journey Map, Not the Tour BuilderEvaluation Rule
Price the insight layer (segmentation, journey mapping, and iteration cadence) as the deliverable, and treat the guidance tool as the delivery mechanism the client could otherwise buy themselves.
- In-App Assistants Rule: Price the Insight Layer, Not the Tour BuilderEvaluation Rule
Charge for the segmentation, journey mapping, and iteration loop around the tool, and treat the tour builder itself as a commodity line item.
- In-App Assistants Decision: Sell the Tool License vs Sell the Adoption ProgramDecision Framework
IF a client's product team already owns onboarding copy, has analytics instrumentation in place, and asks for a named platform at a fixed seat price, THEN resell or refer the license and keep the engagement transactional. IF the client cannot name which activation step loses users, has no segment-level retention view, and treats onboarding as a launch task rather than a lifecycle, THEN sell the surrounding program (journey mapping, segmentation, iteration cadence) and treat the platform as the delivery mechanism, not the deliverable.
- The Tour Graveyard Trap: Why In-App Assistants Stall After the First Client LaunchFailure Pattern
- The Self-Serve Spiral: Why In-App Assistants Get Cut From Agency RetainersFailure Pattern
Delivery system
Blueprints and procedures for running it as a service.
- In-App Onboarding & Adoption Sprint (10-15 days)Implementation Blueprint
A fixed-scope engagement that instruments a client's product with in-app tours, checklists, and surveys, then hands over a measured adoption baseline and an iteration backlog the agency can bill against monthly.
- Adoption Instrumentation Baseline (Onboarding)Operating Procedure
- Guidance Content QA Gate (QA)Operating Procedure
- Guidance Retirement and Debt Review (Retention)Operating Procedure
13 modules selected for Creepy
Frequently Asked Questions
Answers about pricing, setup, implementation, and more
Creepy is an on-device Android AI agent that translates user problems into step-by-step guidance and direct links to the relevant Android settings screens. It runs a 2B model locally on the device for privacy, stores searchable history of past fixes, and suggests scenario-based prompts for common issues like battery drain and storage cleanup. The tool is designed for support teams, onboarding workflows, and device-management scenarios where users need to navigate Android settings without escalating to live support.
Creepy Pro costs $9.9 USD per month when billed annually. A free tier is available to test the core functionality before committing to a paid plan.
Operations and support teams see the most direct benefit, as they compress ticket resolution time by using Creepy's guided paths and deep links instead of writing custom instructions. Customer onboarding teams reduce setup friction by offering end users a self-service tool for Android configuration tasks. Account Executives supporting Android-heavy client bases can reference Creepy as a value-add for technical support retainers, though the tool is adopted internally rather than resold.
A support agent handling 15-20 Android troubleshooting tickets per week can expect to save 2-4 hours by using Creepy's deep links and pre-written guidance instead of manually navigating settings or writing step-by-step instructions. The savings scale with ticket volume and the proportion of multi-step configuration tasks in your support queue. Agencies with lower Android support volume will see proportionally smaller time gains.
Creepy operates as a standalone on-device application and does not publish integrations with Zendesk, Jira, Freshdesk, or other ticketing platforms. Support agents must manually copy guidance from Creepy into their ticket system, or end users can access Creepy directly to self-serve. If your workflow requires seamless ticketing integration, you will need to evaluate whether the manual handoff adds friction.
All history is stored locally on the device by default and does not sync to a cloud account unless the user explicitly enables sync. If a team member cancels their subscription, their local history remains on their device but they lose access to the Creepy app and cannot add new entries. There is no central team repository of fixes, so institutional knowledge is not automatically preserved across seat changes.
Rollout is low-friction: each team member downloads the app from Google Play, optionally links an account, and can begin using it immediately. No backend configuration, API keys, or team-wide setup is required. Most teams can onboard 5-10 seats within a single day. The main adoption friction is habit change, as agents must remember to use Creepy for Android questions instead of relying on existing documentation or manual navigation.
Creepy is Android-only and does not support iOS, Windows, or macOS. If your agency supports mixed device ecosystems, Creepy will only address the Android portion of your support volume. Agencies with iOS-heavy client bases will see minimal ROI.