Copy-ready prompts for non-technical users, developers, and agencies working with KilatKoding.
Never paste secrets such as SUPABASE_SERVICE_ROLE_KEY, OPENAI_API_KEY, ANTHROPIC_API_KEY, MIDTRANS_SERVER_KEY, DOKU_SECRET_KEY, or other production credentials into an AI tool.
Replace every placeholder in square brackets such as [describe your product] before sending the prompt. If the AI tool has access to your repository, let the prompt tell it to inspect the relevant files first. If it does not have repo access, ask it to state assumptions clearly.
If you want more consistent AI output, prepend this block to almost any prompt:
Copy
Ask AI
Before answering, inspect the most relevant documentation and files first. Do not invent features that do not exist. Separate what can be done without code from what needs a developer. If you make assumptions, state them clearly. If you suggest file, env, or service changes, list what needs to change and how to verify it.
Use this when: you are not yet sure which KilatKoding scenario matches your product.Expected output: best-fit use case, active modules, minimum services, and mismatch risks.
Copy
Ask AI
You are helping me choose the best KilatKoding use case for this product:[describe the product, target users, and how it makes money]Use the KilatKoding documentation. If you have repo access, also inspect config files, app files, lib, supabase/migrations, and .env.example before concluding.Please give me:1. The closest KilatKoding use case2. Which features should stay on and off3. The minimum services I need to prepare4. Risks or mismatches I should know early5. Which docs pages I should read nextAlso separate what I can decide as a non-technical user and what is safer for a developer to handle.
Decide whether I should use KilatKoding or start another way
Use this when: you are still unsure whether this boilerplate is the right starting point.Expected output: recommended path, reasons, trade-offs, and risk signals.
Copy
Ask AI
Help me decide whether I should use KilatKoding, a UI-only template, a fully custom build, or start from scratch.Product context:[describe the product, feature complexity, deadline, budget, and whether I have a developer]Please answer in this format:1. Main recommendation2. Why that option makes the most sense3. The biggest trade-off I need to accept4. When I should choose a different option5. The safest next stepUse the KilatKoding docs and do not invent capabilities that are not supported.
Turn my product idea into a clear developer brief
Use this when: you know what you want to build but do not know how to explain it clearly to a developer or coding assistant.Expected output: a structured brief with active features, integrations, and custom work.
Copy
Ask AI
Turn this product idea into a clear implementation brief for a developer who will use KilatKoding:[describe the product idea, target users, business model, must-have features, and deadline]Please structure the result as:1. Product summary2. Closest KilatKoding use case3. Built-in KilatKoding features that can be reused4. Areas that still need custom work5. Integrations and services that must be prepared6. Open questions that should be decided before setup7. Docs pages the developer should read next
Generate a launch checklist for my product
Use this when: you want AI to translate the launch docs into a checklist that fits your actual setup.Expected output: a launch checklist that both non-technical and technical teammates can use.
Copy
Ask AI
Create a launch checklist for my product built on top of KilatKoding.Context:- Use case: [for example waitlist, subscription SaaS, member portal, AI SaaS]- Active features: [auth on/off, payments on/off, admin on/off, AI on/off, waitlist on/off, contact on/off]- Payment provider: [midtrans / doku / not used]- AI provider: [openai / anthropic / not used]- Who will run the launch: [founder, operator, developer, agency]Please give me:1. Universal checklist2. Technical checklist3. Brand and content checklist4. First-24-hours operations checklist5. The riskiest launch areasDo not assume every feature must be active.
Separate what I can do myself from what needs a developer
Use this when: you want a safe boundary between non-technical work and technical implementation.Expected output: a clear split between non-code tasks and developer tasks.
Copy
Ask AI
Help me separate which KilatKoding tasks I can safely do myself and which ones should go to a developer.My context:[describe whether you are a founder, operator, marketer, or PM, and what you want to change]Please split the result into:1. Safe to do without code2. Possible with AI help but still needs developer review3. Better handled directly by a developer4. Risks if I try to force technical work without help5. Docs pages I should read after this
Generate an env preset and setup plan from my use case
Use this when: you want a more prescriptive .env.local and service setup starting point.Expected output: env vars, toggles, services, and setup order.
Copy
Ask AI
I want to use KilatKoding for this use case:[describe the use case, active features, payment provider, AI provider, and whether admin is needed]Please help me create:1. A starting `.env.local` draft2. Which feature toggles should be on and off3. Which services are required4. The safest setup order5. How to verify this setup is correctIf you have repo access, inspect the relevant docs and config files before answering.
Create a local setup plan for my team
Use this when: you want AI to summarize local setup for a cross-platform team.Expected output: setup steps, dependencies, and verification checkpoints.
Copy
Ask AI
Create a KilatKoding local setup plan for my team.Team context:- Operating systems: [Windows / macOS / Linux / mixed]- Who is setting it up: [internal developers, freelancers, agency]- Active features: [describe the modules in use]Please give me:1. Dependencies to install first2. The safest local setup order3. Important differences between operating systems4. Verification checkpoints after setup5. The most likely early setup errors and how to prevent them
Disable a module safely without breaking surrounding flows
Use this when: you want to turn off auth, payments, admin, contact, waitlist, or AI.Expected output: toggle changes, files to inspect, and UI/copy cleanup tasks.
Copy
Ask AI
I want to disable this KilatKoding module:[name the module, for example payments, AI, waitlist, contact, admin, or auth]Please help me:1. Identify which env toggles must change2. Identify which pages, CTA paths, and copy need cleanup3. Identify which routes, APIs, or dashboard areas I should test afterward4. Explain which fallback behaviors I need to understand5. Provide a final verification checklistIf you have repo access, inspect config, navigation, pricing, and relevant marketing components first.
Plan a new feature on top of the boilerplate
Use this when: you want to add a product-specific feature without breaking the existing foundation.Expected output: phased implementation plan, affected files, and integration risks.
Copy
Ask AI
I want to add a new feature to KilatKoding:[describe the feature, who uses it, what data it needs, and whether it affects auth, billing, admin, or AI]Please help me create:1. A phased implementation plan2. The areas of the codebase most likely to change3. Possible database schema changes4. Impacts on routes, dashboard screens, and permissions5. Technical or regression risks to watch6. A testing plan before deploymentDo not invent structure that is not present. If repo access exists, inspect current patterns first.
Debug setup, payment, webhook, auth, or AI issues
Use this when: you need directed diagnosis instead of generic debugging advice.Expected output: likely root causes, check order, and safe fixes.
Copy
Ask AI
Help me diagnose this KilatKoding issue:Symptoms:[describe the error, wrong behavior, failing endpoint, or useful logs]Context:- Active features: [describe the active toggles]- Environment: [local / staging / production]- Payment provider: [midtrans / doku / not used]- AI provider: [openai / anthropic / not used]- What I changed recently: [describe recent changes]Please give me:1. The 3 to 5 most likely root-cause hypotheses2. The fastest inspection order3. Which files, env vars, tables, or routes I should inspect4. How to tell the main root cause apart from side symptoms5. The safest fix path
Use this when: you receive a client brief and want a quick fit assessment.Expected output: fit analysis, custom work areas, and scope-creep signals.
Copy
Ask AI
Help me evaluate whether this client brief is a good fit for KilatKoding:[paste the client brief, core features, deadline, budget, and deliverables]Please give me:1. Whether KilatKoding is a strong fit, partial fit, or weak fit2. Which built-in areas can be reused directly3. Which areas definitely need custom work4. Scope red flags I should communicate early5. How I should frame the proposal to the client
Create a clean white-label delivery plan
Use this when: you want to turn KilatKoding into a client project without leaving confusing leftovers.Expected output: rebranding plan, active modules, and cleanup list.
Copy
Ask AI
I want to use KilatKoding as a white-label base for this client:[describe the client type, industry, business model, and requested features]Please create:1. A phased rebranding plan2. Which modules should stay on or off3. Which docs and code areas should be prioritized first4. Which placeholder content must be cleaned up5. A checklist before client handoff
Split built-in scope vs custom scope for a proposal
Use this when: you want to explain clearly what is already included and what needs additional implementation.Expected output: a proposal-friendly scope split.
Copy
Ask AI
Help me split built-in KilatKoding scope and custom scope for this client need:[describe the features the client wants]Please divide the result into:1. Already present in KilatKoding2. Has a base in KilatKoding but still needs custom work3. Not present and must be built from scratch4. Scope-change risks I should explain to the client5. Assumptions that should be written clearly in the proposal
Create handoff notes and operational guidance for the client
Use this when: the project is almost done and you want a cleaner client handoff.Expected output: handoff notes, ownership boundaries, and post-handoff tasks.
Copy
Ask AI
Create handoff notes for a client receiving a KilatKoding-based project.Context:- Active features: [describe]- Active integrations: [supabase, resend, midtrans, doku, openai, anthropic, etc.]- Intentionally disabled areas: [describe]- Handoff audience: [founder, operator, client developer]Please give me:1. A summary of active product features2. Which services the client owns and what they are used for3. What the client can manage themselves4. What still needs a developer5. A post-handoff operations checklist
Audit delivery readiness before handing it over or going live
Use this when: you want a final sanity check before client delivery or production launch.Expected output: final checks, blind spots, and residual risks.
Copy
Ask AI
Audit the readiness of my KilatKoding project before I hand it off to a client or publish it live.Project context:[describe the use case, active features, domain, providers, and the major changes already made]Please give me:1. Final technical checklist2. Final content and brand checklist3. Final operations checklist4. Blind spots that are common in white-label delivery5. Residual risks I should still communicate to the client
Use the scenario-selection prompt if you are still deciding which path fits the product best.
Comparison
Use the starting-point evaluation prompt if you are still deciding between a boilerplate, UI template, or custom build.
Preset recipes
Use the env and toggle prompt if you want a more prescriptive .env.local starting point.
Customization
Use the rebranding and file-mapping prompt if you want to change KilatKoding with less guesswork.
Launch checklists
Use the launch audit prompt if you need a checklist tailored to your live product setup.
Troubleshooting
Use the diagnosis prompt when you are dealing with bugs, fallback behavior, or incomplete setup.
If you want better AI output, include concrete context: use case, active features, providers in use, your latest changes, and the exact output you want. More specific prompts almost always produce more useful answers.