astanaga.com — The Geeky Trend Seeker for Viral AI Prompts

"Find the prompt. Ship the output. Post the trend."

Core Vision

Astanaga.com becomes the implementation layer for viral AI creativity. The product tracks prompts, workflows, formats, and output styles that are spreading fast across AI communities, then turns them into reusable assets people can immediately run, remix, and publish.

At the center of the product is a trend seeker scraper/crawler that runs automatically every day, continuously scanning for new prompt patterns, output styles, tool combinations, and creator workflows worth adding into the library.

Astanaga.com focuses on what people can actually do with fast-moving AI trends. It is the place where a user finds:

• the latest viral AI prompt format
• the workflow behind it
• the output style that performs well
• the generation recipe
• the social posting path
• the API route to automate it end to end

The brand should feel geeky, inventive, builder-friendly, current, and deeply online. It should attract people who love the newest AI tricks and immediately ask, "How do I use this myself?"

Elevator Pitch

Astanaga.com is a trend seeker and implementation hub for viral AI prompts, prompt workflows, and output systems that people can use to create postable content fast. The site collects fast-rising prompt ideas from AI communities, creator ecosystems, prompt-sharing threads, image/video trend loops, and maker circles, then turns them into clean implementation pages with reusable templates, API hooks, and publishing flows.

The product sits at the intersection of:

• prompt discovery
• workflow packaging
• creator automation
• content generation templates
• social publishing infrastructure

Users come to Astanaga to activate trends into real content systems.

Product Thesis

AI virality now spreads through prompt formats as much as through finished content. A single successful prompt pattern can trigger thousands of copycats across:

• AI image communities
• short-form video loops
• ASMR content generators
• meme remix formats
• avatar content
• product visualization
• faceless creator systems
• template-driven Instagram, TikTok, X, and Pinterest posts

Most users see the end result but do not get the working system behind it. Astanaga creates value by packaging that system into something executable:

• prompt
• parameter structure
• output examples
• tool stack
• API route
• auto-post path

This makes Astanaga a practical trend engine for people who want to turn AI trends into actual content production.

What Astanaga Is

Astanaga is:

• a library of viral AI prompts
• a tracker of prompt trends and output styles
• a daily-updating crawler system that keeps expanding the prompt library
• a workflow repository for creator automation
• a launchpad for postable AI-generated assets
• a media layer that publishes showcase articles from the best prompt outputs
• a product layer where users can connect API access and push outputs straight into social channels

What Makes It Different

Astanaga is a prompt-to-output-to-distribution machine.

The library should grow automatically every day. Strong new prompt patterns flow from crawler detection into packaging, ranking, publishing, and library expansion as a continuous system behavior.

Every useful page should answer:

• what is trending
• why this prompt is working
• what tool stack is needed
• what output format performs well
• what niche it fits
• how to generate it
• how to post it automatically

Target Users

Primary Users

Builders, creators, growth hackers, AI-native solopreneurs, and experimenters who want fast-moving prompt formats they can deploy today.

Secondary Users

Agencies, social media managers, faceless content operators, and small teams that want repeatable AI workflows for content output.

Tertiary Users

Curious users who search for:

• "viral AI prompt"
• "best prompt for [style]"
• "AI ASMR prompt"
• "prompt workflow for TikTok"
• "AI product photo prompt"
• "how to automate posting AI content"

Product Positioning

Astanaga should feel:

• geeky
• fast
• inventive
• implementation-first
• creator-friendly
• technically sharp
• commercially useful

The tone should feel like a great AI builder account that always finds the next format first, but explains it with enough clarity that other people can actually run it.

Core Product Surfaces

1. Viral Prompt Feed

A rolling feed of the newest and strongest AI prompts gaining traction online. Each card should show:

• prompt name
• output type
• trend category
• supported model/tool
• momentum score
• whether it is post-ready

The feed should be refreshed from the automated trend seeker pipeline throughout the day, with fresh additions and score changes reflected quickly in the public library.

2. Prompt Detail Pages

Every prompt page should include:

• prompt itself
• expanded prompt version
• tool compatibility
• best use cases
• example outputs
• posting ideas
• API-ready payload shape
• workflow notes

3. Showcase Articles and Blog Layer

Astanaga should publish article-style pages built around the results of strong prompts. These pages work as discovery funnels: people land on them because the output is visually interesting, practically useful, or currently viral, then move into the prompt page, workflow page, or API signup flow.

Every article should package:

• what the prompt produced
• why the result is interesting or useful
• what style or niche it fits
• a visible path to try the prompt
• a path to automate it

This layer turns Astanaga into both:

• a prompt implementation product
• a search-and-share content publisher

4. Output Category Hubs

Category hubs for:

• AI ASMR
• product visuals
• cinematic image prompts
• meme generators
• quote card systems
• short-form hooks
• faceless content systems
• ecommerce creatives
• avatar and character loops

5. Workflow Pages

These pages package complete chains such as:

• prompt -> generate image -> caption -> auto-post to X
• prompt -> generate ASMR visual -> export -> schedule to TikTok/Reels
• prompt -> create product mockup -> affiliate post -> distribute

6. API and Automation Console

Users can sign up for API access and use Astanaga as a live prompt and publishing backend. This is where the product moves beyond a content site and becomes a usable creator infrastructure layer.

Core Content Types

1. Viral Prompt Pages for single prompt formats.
2. Prompt Packs for grouped prompt variations on one trend.
3. Workflow Guides that show exactly how to use prompts in a production chain.
4. Post-Ready Output Recipes that package prompt + caption + aspect ratio + posting idea.
5. Tool Matchups that explain which models and tools perform best for each prompt style.
6. Format Explainers that decode why a certain AI aesthetic is spreading.
7. Automation Recipes for turning prompt outputs into auto-posting systems.
8. Trend Roundups such as "10 AI prompt formats exploding this week."
9. Showcase Articles that feature the strongest prompt outputs as inspiration and search-entry content.

Blog and Article Strategy

The article layer functions as a major acquisition engine. Astanaga publishes blog-style and article-style pages that showcase what popular prompts can produce in the real world.

These articles should attract:

• SEO traffic
• social shares
• visual curiosity clicks
• creator experimentation
• conversion into prompt usage and API signup

Article Purpose

Every article should do three jobs at once:

• showcase a compelling prompt result
• explain why the result matters or performs
• move the reader toward trying the prompt inside Astanaga

Article Formats

1. Output Showcase Articles

Examples:

• "10 AI ASMR Visual Styles That Look Weirdly Addictive"
• "This Viral Product Prompt Creates Premium Ad Images in Seconds"
• "The Best AI Prompt Formats for Cinematic Product Reels"

2. Creator Utility Articles

Examples:

• "How To Make Daily Postable AI Content From One Reusable Prompt System"
• "The Prompt Workflow Behind Viral Quote Carousels"
• "How To Turn One Prompt Into 20 Instagram Posts"

3. Trend Reaction Articles

Examples:

• "Why This AI Visual Style Is Suddenly Everywhere"
• "The Prompt Structure Behind This Week's Most Shared AI Images"

Article Conversion Role

Each article should contain:

• embedded output examples
• summary of the prompt style
• related workflow links
• CTA to try the prompt
• CTA to get API access
• CTA to auto-post generated outputs

Article Funnel Logic

The article layer should drive users through this path:

1. discover a result
2. become curious about how it was made
3. click into the prompt detail page
4. view the workflow
5. try the prompt
6. sign up for API or automation access

Signature Use Cases

AI ASMR

Prompt systems for surreal ASMR visuals, macro textures, looping sensory shots, and oddly satisfying generator outputs designed for short-form engagement.

Product Content

Prompts that turn product ideas into:

• premium product shots
• ecommerce mockups
• carousel images
• ad-ready UGC styles
• marketplace-ready visuals

Postable Aesthetic Trends

Prompt workflows for styles that are already spreading:

• hyperreal cinematic
• dreamy fantasy
• neon anime
• luxury minimal
• absurd meme realism
• retro future
• faceless quote loops

Revenue Model

1. Subscription Access

Paid access to:

• premium prompt packs
• workflow bundles
• trend alerts
• automation recipes
• API credits

2. API Access

Users register for API access and use Astanaga as:

• a prompt retrieval service
• a template API
• a generation orchestration layer
• a post automation backend

3. Creator Automation Plans

Higher-value plans for users who want:

• scheduled post generation
• multi-channel publishing
• prompt feed syncing
• reusable content systems

4. Affiliate Revenue

Affiliate links for:

• AI tools
• model providers
• creator automation platforms
• social scheduling tools
• prompt marketplaces

5. Sponsored Trend Placement

Featured placement for:

• AI tools
• generation platforms
• automation services
• creator-focused SaaS products

6. Article-Led Conversion

Showcase articles and blog pages should work as a conversion bridge from SEO and social discovery into product usage. This creates a second monetization path where content itself feeds:

• subscriptions
• API signups
• workflow upgrades
• affiliate clicks

Target Metrics

• Prompt Page Publish Speed: under 10 minutes from detection to live prompt page
• Prompt Library Size: 1,000+ high-quality prompt pages in year one
• API Signup Conversion: 3-8% of active visitors
• Postable Workflow CTR: 8%+ from prompt pages into workflow pages
• Paid Conversion Path: strong upgrade flow from free prompt discovery to premium automation
• Repeat User Rate: high among creators, agencies, and automation users

100% AI Automation Model

Astanaga should operate as a 100% AI-automated trend and workflow engine. The system continuously scans for emergent prompt formats, understands what they produce, packages them into usable implementations, and distributes them into the library through an autonomous publishing path.

The crawler is the heartbeat of the system. Every day it should discover, rank, and add new prompt opportunities so the library keeps compounding in value.

AI Automation Loop

The autonomous chain should be:

• detect
• classify
• extract
• normalize
• evaluate
• expand
• package
• publish
• distribute
• refresh
• expand the library

AI Roles

1. Trend Detector

Finds rising prompt systems, prompt phrases, tool combinations, style names, and output patterns.

It should pull from:

• public creator posts
• AI community threads
• prompt-sharing sites
• viral video breakdowns
• image generation communities
• model release chatter
• workflow demos and showcase posts

2. Prompt Extractor

Extracts:

• prompt text
• parameter hints
• model references
• output style tags
• likely use case
• viral positioning

3. Prompt Refiner

Builds:

• clean version
• advanced version
• compact version
• niche-specific variation
• social-post-ready variation

4. Workflow Composer

Packages the prompt into an actionable system:

• tool stack
• generation path
• output format
• social channel fit
• API payload
• automation route

5. Article Composer

Generates:

• showcase article headlines
• blog intros
• output summaries
• creator-use explanations
• CTA blocks
• related prompt links

6. Caption and Posting Composer

Generates:

• social captions
• hashtags
• thread variants
• hook lines
• post metadata

7. Refresh Agent

Updates:

• model compatibility
• output examples
• trend score
• posting performance hints
• related prompt links

AI Output Contract

Every generation cycle should output:

• prompt_name
• slug
• prompt_core
• prompt_expanded
• prompt_variants
• supported_models
• output_type
• use_case
• trend_score
• workflow_steps
• api_payload_shape
• caption_variants
• hashtags
• related_prompts
• article_title
• article_intro
• article_angle
• cta_block
• refresh_after_minutes

What 100% AI Automation Means Here

It means:

• the trend seeker crawler runs every day automatically
• prompt discovery runs continuously
• prompt packaging runs automatically
• output examples can be generated automatically
• article and blog pages can be generated automatically
• workflow pages can be assembled automatically
• posting metadata can be generated automatically
• trend score updates happen automatically
• the library keeps growing automatically as prompt culture evolves

100% Cloudflare Stack Execution

Astanaga should run 100% on Cloudflare in production. Every public request, API request, workflow action, and scheduled update should live inside a Cloudflare-native component map.

Production Components

1. Cloudflare Pages

Used for:

• public site shell
• static frontend assets
• docs pages
• pricing pages
• prompt browse UI
• blog and showcase article delivery

2. Cloudflare Workers

Used for:

• prompt page rendering
• workflow page rendering
• API endpoints
• signup endpoints
• auth/session handling
• prompt search
• automation orchestration
• social publish triggers

3. Cloudflare D1

Used for:

• users
• API keys
• prompt records
• workflow records
• trend metadata
• output examples
• article records
• article-to-prompt mapping
• channel connections
• billing and plan metadata
• publish logs

4. Cloudflare R2

Used for:

• generated images
• visual examples
• screenshots
• exported bundles
• prompt pack archives
• reusable media assets

5. Cloudflare KV

Used for:

• hot prompt cache
• trend leaderboard cache
• category feeds
• feature flags
• lightweight route metadata
• public API cache

6. Durable Objects

Used for:

• prompt deduplication locks
• per-user workflow sessions
• publish queue coordination
• rate-sensitive API orchestration
• anti-double-post control

7. Cloudflare Queues

Used for:

• trend ingest jobs
• crawler result fan-out
• prompt extraction jobs
• AI packaging jobs
• image/video generation jobs
• auto-posting jobs
• refresh cycles
• retry handling

8. Cloudflare Cron Triggers

Used for:

• daily crawler runs
• trend polling
• prompt feed rebuilds
• category refreshes
• leaderboard recomputation
• workflow health checks
• stale content refresh

Request Path

The live request path should be:

• user reaches Cloudflare edge
• Pages serves shell and static UI
• Worker resolves route and fetches data
• KV handles hot reads
• D1 serves canonical records
• R2 serves large media outputs

Publish Path

The publish path should be:

• Cron Trigger or webhook starts detection
• Queue fans out collection jobs
• Worker normalizes prompt signals
• AI packaging layer creates prompt/workflow record
• D1 stores canonical structured data
• KV refreshes feed caches
• R2 stores output assets
• Queue dispatches social publishing jobs

Library Expansion Path

The daily expansion path should be:

1. crawler finds new candidate prompts and workflow patterns
2. system scores novelty and usefulness
3. duplicates are merged into existing library objects
4. strong candidates become new prompt entries
5. top candidates also become workflow pages and showcase articles
6. category feeds and homepage blocks update automatically

This keeps Astanaga alive as a growing library with continuous daily expansion.

API Product Layer

Astanaga should expose a proper API product. Users should be able to:

• sign up
• generate API key
• fetch latest prompts
• fetch prompt packs by category
• fetch workflow templates
• request post-ready metadata
• trigger connected posting pipelines

Example API Endpoints

• GET /api/prompts/latest
• GET /api/prompts/:slug
• GET /api/categories/:slug/prompts
• GET /api/workflows/:slug
• POST /api/posting/run
• POST /api/generate/caption
• POST /api/accounts/connect

Social Automation Layer

The system should support user-connected posting pipelines for:

• X
• Instagram
• TikTok workflow exports
• Facebook Pages
• Pinterest-ready output packs

The product promise is simple: users find a viral prompt trend on Astanaga, turn it into content, and push the result into their publishing system with minimal friction.

Cloudflare-Only Runtime Rules

The production system should clearly satisfy these conditions:

• every public request is served by Pages and/or Workers
• every scheduled action runs through Cron Triggers or Queues
• every persistent record lives in D1 or KV
• every persistent file lives in R2
• every coordination flow lives in Durable Objects or Workers
• the full live runtime stays inside Cloudflare-native services

Implementation Blueprint

This section turns the product vision into a concrete execution map. The goal is to make it obvious how Astanaga is built, how content flows, and how users move from discovery to automation.

Core Runtime Modules

1. web Worker

Responsibilities:

• route public pages
• render prompt pages
• render workflow pages
• render category feeds
• serve pricing, docs, and onboarding pages

2. api Worker

Responsibilities:

• API key creation
• authenticated API access
• prompt retrieval
• workflow retrieval
• generation metadata endpoints
• posting run triggers
• account connection flows

3. ingest Worker

Responsibilities:

• receive trend collection jobs
• normalize raw prompt signals
• deduplicate sources
• write canonical candidate records into D1

4. package Worker

Responsibilities:

• turn prompt candidates into publishable prompt pages
• generate variations
• generate workflow definitions
• build API payload templates
• prepare social metadata

5. publish Worker

Responsibilities:

• publish prompt pages
• update homepage/category cache
• trigger asset generation
• schedule refresh windows

6. posting Worker

Responsibilities:

• run user posting workflows
• map outputs into network-specific formats
• send content to connected social accounts
• log result state and retries

D1 Schema Draft

The core relational model should be explicit early, because almost every feature depends on it.

users

Stores:

• id
• email
• plan_tier
• created_at
• status

api_keys

Stores:

• id
• user_id
• key_prefix
• key_hash
• scope
• rate_limit_tier
• created_at
• revoked_at

prompt_trends

Stores:

• id
• slug
• prompt_name
• trend_score
• trend_status
• output_type
• use_case
• source_cluster_id
• discovered_at
• published_at
• updated_at

prompt_variants

Stores:

• id
• prompt_trend_id
• variant_type
• prompt_text
• model_hint
• parameter_json
• quality_score

workflows

Stores:

• id
• slug
• prompt_trend_id
• workflow_name
• workflow_json
• target_channel
• post_ready
• created_at

articles

Stores:

• id
• slug
• title
• article_type
• prompt_trend_id
• intro
• body_json
• cta_style
• published_at
• updated_at

source_signals

Stores:

• id
• platform
• source_url
• author_handle
• signal_text
• engagement_score
• captured_at
• normalized_cluster_key

crawler_runs

Stores:

• id
• started_at
• completed_at
• source_count
• candidate_count
• new_prompt_count
• updated_prompt_count
• run_status

output_examples

Stores:

• id
• prompt_trend_id
• asset_url
• asset_type
• caption_text
• aspect_ratio
• created_at

connected_accounts

Stores:

• id
• user_id
• platform
• account_label
• token_ref
• status
• created_at

posting_runs

Stores:

• id
• user_id
• workflow_id
• platform
• payload_json
• run_status
• started_at
• completed_at
• error_message

billing_events

Stores:

• id
• user_id
• event_type
• provider
• amount
• currency
• created_at

KV Design

KV should hold hot, read-heavy data that benefits from edge access:

• homepage feed snapshot
• per-category top prompts
• trend leaderboard
• blog/article highlights
• compact prompt metadata for API fast-path
• public pricing and docs fragments

Recommended keys:

• feed:home
• feed:category:{slug}
• feed:articles:featured
• leaderboard:weekly
• prompt:compact:{slug}
• workflow:compact:{slug}

R2 Design

R2 should store every reusable or generated media asset:

• prompt example images
• prompt pack ZIP exports
• caption card graphics
• preview screenshots
• workflow media bundles

Suggested path layout:

• examples/{prompt-slug}/{asset-id}.webp
• packs/{pack-slug}/bundle.zip
• cards/{prompt-slug}/{timestamp}.png
• exports/{user-id}/{job-id}.zip

Queue Topology

The queue system should make fan-out and retries easy to reason about.

trend-ingest

Carries:

• source polling jobs
• webhook-fed prompt trend candidates
• normalization requests

prompt-package

Carries:

• prompt expansion jobs
• workflow synthesis jobs
• SEO packaging jobs

article-compose

Carries:

• showcase article generation
• article refresh jobs
• CTA packaging jobs

asset-generate

Carries:

• example visual generation
• summary card generation
• export bundle jobs

social-post

Carries:

• user post runs
• account-specific transforms
• retries for temporary failures

Cron Trigger Schedule

The product should run on a visible timing map with clear recurring jobs.

Recommended schedules:

• daily: full trend seeker crawl and library expansion run
• every 5 minutes: trend polling and leaderboard refresh
• every 10 minutes: homepage feed recompute
• every 10 minutes: featured article recompute
• every 15 minutes: stale trend refresh
• every 60 minutes: category rebuild and pack recompute
• daily: archive and cleanup jobs

API Product Spec

The API should feel like a real product with clear user-facing value and predictable access patterns.

Public API Modes

• read latest prompts
• read prompt by slug
• read workflow by slug
• fetch post-ready metadata
• submit posting runs

Access Tiers

• free
• creator
• pro
• agency

Rate Limit Shape

• free: discovery only, low request cap
• creator: moderate read and posting access
• pro: higher throughput and workflow access
• agency: multi-account posting and bulk automation access

Auth and Key Flow

1. user signs up
2. system creates account record in D1
3. user confirms email or login session
4. API key is generated
5. Worker stores only key hash
6. API requests resolve plan tier and limits

Connected Social Account Flow

1. user opens account connection page
2. Worker starts OAuth or token intake flow
3. token reference is stored securely
4. connected account record is written in D1
5. test post or validation ping confirms account state

Posting Run Flow

1. user selects prompt or workflow
2. user chooses platform
3. system builds normalized post payload
4. queue dispatches platform-specific posting job
5. posting worker formats and sends payload
6. run result is written into posting_runs
7. dashboard shows success, retry, or failure state

Prompt Packaging Flow

1. trend detector creates a prompt candidate
2. extractor identifies prompt and model logic
3. packager builds prompt page, workflow, and metadata
4. publish worker stores canonical objects in D1
5. cache layer updates homepage and category feeds
6. asset jobs create visual examples if needed

Prompt Detail Page Contract

Every prompt detail page should have a fixed structure:

• title and one-line explanation
• core prompt
• upgraded prompt
• parameter notes
• recommended tool/model list
• example outputs
• post-ready usage ideas
• API payload example
• related prompts
• workflow links

Article Page Contract

Every article page should include:

• title
• strong visual or output example
• explanation of what the prompt produced
• why the format works
• linked prompt page
• linked workflow page
• CTA to try the prompt
• CTA to access API automation

Workflow Page Contract

Every workflow page should include:

• use case summary
• input requirements
• tool chain
• generation steps
• posting path
• automation options
• channel-specific formatting notes
• estimated output volume

Internal Admin Surfaces

The admin layer should remain operationally light but highly useful.

Admin pages:

• trend candidate queue
• publish log viewer
• failed posting runs
• API usage overview
• account connection diagnostics
• cache refresh tools

Observability Layer

Observability should be designed from the start. The team needs to know:

• what trends were detected
• how many library additions were created each day
• which pages got published
• which jobs failed
• which workflows produced signups
• which prompt categories convert best
• which social channels generate the best downstream behavior

Track:

• crawler run count
• new library entries per day
• updated library entries per day
• queue failure counts
• article publish counts
• prompt trend velocity
• API usage by plan tier
• posting success rate by platform
• conversion from prompt page to API signup
• conversion from article page to prompt trial

100% Cloudflare Cutover Logic

Execution is complete when:

• prompt ingestion runs through Workers, Queues, and Cron
• publishing runs entirely through Workers
• prompt storage and API state run on D1/KV/R2
• posting workflows run through queue-backed Workers
• no origin runtime is needed for live product behavior

Prompt Writing Standard

Astanaga prompts should feel practical, technical, and creator-useful. They should show people how to get results and how to turn those results into repeatable output systems.

Every Astanaga Prompt Page Should Include

• the prompt
• the upgraded prompt
• parameter notes
• compatible model list
• ideal output format
• posting idea
• workflow suggestion
• API-ready payload example

Writing Rhythm

The writing should feel:

• geeky
• useful
• current
• implementation-first
• easy to copy into action

Prompt Direction Style

Strong prompt language for Astanaga should sound like: "Generate a reusable production-grade prompt page for a viral AI content format. Include the core prompt, improved prompt, model compatibility, output use case, social posting angle, and an API payload example that makes the format easy to automate."

SEO Strategy

Search Query Focus

• "viral AI prompt"
• "best prompt for [style]"
• "AI prompt for ASMR"
• "AI product prompt"
• "prompt workflow for TikTok"
• "AI post automation"
• "best prompt for [tool]"

SEO Logic

Astanaga wins when prompt pages become the best implementation answers for people searching how to reproduce a trend. That means pages should rank not only for prompt names, but for intent phrases around:

• how to generate
• best prompt for
• prompt template
• workflow setup
• post-ready content

On-Page Structure

Every page should make indexing easy through:

• exact intent-matching title
• short first answer paragraph
• code-style prompt formatting
• model and use-case labels
• related prompt links
• workflow links
• FAQ blocks

Homepage Experience

The homepage should feel like a fast-moving AI lab notebook merged with a creator command center.

Homepage Blocks

• Prompt Lagi Naik
• Postable Hari Ini
• AI ASMR Lagi Panas
• Product Prompt Winners
• Prompt Packs Minggu Ini
• Automation Workflows

Every Card Should Show

• prompt name
• output type
• supported tool
• trend score
• social-post readiness
• direct action path

First 10 Pages

1. / - viral AI prompt feed
2. /kategori/ai-asmr
3. /kategori/product-visuals
4. /kategori/postable-prompts
5. /kategori/automation-workflows
6. /api
7. /prompt/[slug]
8. /workflow/[slug]
9. /pricing
10. /docs/getting-started

30-60-90 Day Rollout

First 30 Days

• launch prompt feed
• publish first 100 prompt pages
• ship prompt detail page template
• launch basic API signup and key generation

Day 31-60

• launch workflow pages
• add post-ready metadata generation
• add output examples and prompt packs
• launch social account connection layer

Day 61-90

• activate auto-posting workflows
• add premium subscription plan
• add creator and agency use-case bundles
• optimize prompt leaderboard and trend score system

Year-One Expansion

By month 12, Astanaga should become:

• a major library of viral AI prompts
• a workflow engine for creators and agencies
• an API-driven prompt infrastructure product
• a strong subscription and automation business
• a recognized destination for AI trends that people can actually implement

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⚙ HARD CONSTRAINTS (enforced for all sites)

This domain MUST operate within these constraints — no exceptions:

• 100% Cloudflare serverless — Workers + D1 + R2 + KV + Workers AI + Vectorize. NEVER PM2, NEVER VPS, NEVER Docker in production path.
• 100% AI-automated — every customer interaction, every moderation decision, every transaction reconcile = AI. No manual queue, no live human chat support, no physical fulfillment.
• 1-operator solo — one person can run the entire operation from a phone. No team meetings, no shared inbox, no shift rotation.
• WhatsApp AI bot for all support (24/7, instant response, no SLA promises that need humans).
• Mayar QRIS for all Indonesian payments (subscription auto-renew, no manual invoicing).
• Indonesian UI primary — bahasa-first, English fallback only where unavoidable.
• Privacy — opt-in only, delete-on-request honored within 24h (cron-driven).
• No physical goods, no inventory — digital products + affiliate referrals only.

If the plan above describes any flow that violates these constraints, treat the plan as ASPIRATIONAL only and rework before building. The constraint trifecta wins.