Vibecode Aidelly

You are building a lean indie version of Aidelly.

Create the following project files first, then implement the application by following them. Keep the files updated as decisions change. Do not collapse this into a single README or prompt.

===== README.md =====
# Aidelly indie build

## Goal

Build the smallest trustworthy replacement for the core Aidelly workflow for one developer or a tiny team.

## Scope

An MCP server exposing post-now and schedule tools that publish text and images to Bluesky and Mastodon from a cron-backed queue.

## Quick start

1. Install the documented dependencies.
2. Copy `.env.example` to `.env`.
3. Run the development command chosen during implementation.
4. Complete the acceptance checks in `BUILD_PLAN.md`.

## Honest limits

This build deliberately does not replace:
- the closed platforms: Meta, TikTok, YouTube, X and Google Business need approved developer apps and policy compliance
- client approval workflows and per-client workspace isolation
- white-label (your clients seeing your brand, not your stack)
- publish reliability infrastructure: retries, token-refresh, failure emails, watchdogs
- inbox/DM automation and cross-client analytics reports

If those capabilities are essential, use atproto (official SDK) instead of pretending the gap is solved.

===== AGENTS.md =====
# Agent instructions

- Optimize for a working, understandable weekend build.
- Prefer the fewest moving parts that satisfy the brief.
- Do not invent cryptography, security guarantees, APIs, or compliance claims.
- Keep secrets out of source control and logs.
- Add focused tests for destructive, security-sensitive, and data-loss paths.
- Run the project checks before declaring the build complete.
- Record any deliberate shortcut in the README under "Tradeoffs".

===== BUILD_PLAN.md =====
# Build plan

## Original build brief

Build me a personal social publishing agent: an MCP server (TypeScript, official SDK) exposing tools post_now, schedule_post, list_queue and cancel_post. Posts go to Bluesky (atproto, app-password auth, image + video upload via the video service) and Mastodon (masto.js, app registration). schedule_post writes to a SQLite queue; a cron worker publishes due posts with retry and exponential backoff, and failed posts surface through a get_failures tool instead of silently dropping. Include a dry-run mode that previews the per-platform rendering (300-grapheme limit handling for Bluesky, 500 chars for Mastodon) before anything goes live.

## Required capabilities

- Bluesky app password + Mastodon app registration
- hosted scheduler/cron
- database for queue and post state
- media storage
- developer app approval from each closed platform (Meta, TikTok, YouTube, X) for anything beyond the open ones

## Delivery order

1. Scaffold the smallest runnable application and document its commands.
2. Implement the primary data model and core workflow.
3. Add validation, safe failure states, and persistence.
4. Cover the critical path with automated tests.
5. Exercise a clean install from the README and fix every missing step.

## Done when

- A new user can go from clone to first successful workflow using only the README.
- The core workflow works without paid infrastructure unless the brief requires it.
- Tests cover the highest-risk behavior.
- Known limitations are explicit rather than hidden.

===== .env.example =====
# Copy to .env and document every variable when it is introduced.
# Never put real credentials in this file.

APP_ENV=development
# Add only values required by the selected implementation.

You are building a lean indie version of Aidelly.

Create the following project files first, then implement the application by following them. Keep the files updated as decisions change. Do not collapse this into a single README or prompt.

===== README.md =====
# Aidelly indie build

## Goal

Build the smallest trustworthy replacement for the core Aidelly workflow for one developer or a tiny team.

## Scope

An MCP server exposing post-now and schedule tools that publish text and images to Bluesky and Mastodon from a cron-backed queue.

## Quick start

1. Install the documented dependencies.
2. Copy `.env.example` to `.env`.
3. Run the development command chosen during implementation.
4. Complete the acceptance checks in `BUILD_PLAN.md`.

## Honest limits

This build deliberately does not replace:
- the closed platforms: Meta, TikTok, YouTube, X and Google Business need approved developer apps and policy compliance
- client approval workflows and per-client workspace isolation
- white-label (your clients seeing your brand, not your stack)
- publish reliability infrastructure: retries, token-refresh, failure emails, watchdogs
- inbox/DM automation and cross-client analytics reports

If those capabilities are essential, use atproto (official SDK) instead of pretending the gap is solved.

===== AGENTS.md =====
# Agent instructions

- Optimize for a working, understandable weekend build.
- Prefer the fewest moving parts that satisfy the brief.
- Do not invent cryptography, security guarantees, APIs, or compliance claims.
- Keep secrets out of source control and logs.
- Add focused tests for destructive, security-sensitive, and data-loss paths.
- Run the project checks before declaring the build complete.
- Record any deliberate shortcut in the README under "Tradeoffs".

===== BUILD_PLAN.md =====
# Build plan

## Original build brief

Build me a personal social publishing agent: an MCP server (TypeScript, official SDK) exposing tools post_now, schedule_post, list_queue and cancel_post. Posts go to Bluesky (atproto, app-password auth, image + video upload via the video service) and Mastodon (masto.js, app registration). schedule_post writes to a SQLite queue; a cron worker publishes due posts with retry and exponential backoff, and failed posts surface through a get_failures tool instead of silently dropping. Include a dry-run mode that previews the per-platform rendering (300-grapheme limit handling for Bluesky, 500 chars for Mastodon) before anything goes live.

## Required capabilities

- Bluesky app password + Mastodon app registration
- hosted scheduler/cron
- database for queue and post state
- media storage
- developer app approval from each closed platform (Meta, TikTok, YouTube, X) for anything beyond the open ones

## Delivery order

1. Scaffold the smallest runnable application and document its commands.
2. Implement the primary data model and core workflow.
3. Add validation, safe failure states, and persistence.
4. Cover the critical path with automated tests.
5. Exercise a clean install from the README and fix every missing step.

## Done when

- A new user can go from clone to first successful workflow using only the README.
- The core workflow works without paid infrastructure unless the brief requires it.
- Tests cover the highest-risk behavior.
- Known limitations are explicit rather than hidden.

===== .env.example =====
# Copy to .env and document every variable when it is introduced.
# Never put real credentials in this file.

APP_ENV=development
# Add only values required by the selected implementation.

You are building a production product version of Aidelly.

Create the following project files first, then implement the application by following them. Keep the files updated as decisions change. Do not collapse this into a single README or prompt.

===== PRODUCT.md =====
# Aidelly product brief

## Problem

The agent layer is the buildable part: a weekend of vibe coding gets you an MCP server that posts to Bluesky and Mastodon, whose APIs are open. Everything after that is the product: approved OAuth apps for Meta, TikTok, YouTube, LinkedIn, X and Google Business (app review processes measured in weeks, and X's API is pay-per-use), token refresh across eleven platforms that silently break in eleven different ways, publish retry/recovery infrastructure, per-client workspaces with approval workflows, and white-label so agency clients never see the tool. The integration upkeep is not a one-shot; it is the job.

## Product outcome

An MCP server exposing post-now and schedule tools that publish text and images to Bluesky and Mastodon from a cron-backed queue.

## Target user

A serious builder who needs a maintainable product foundation rather than a one-off demo.

## Required capabilities

- Bluesky app password + Mastodon app registration
- hosted scheduler/cron
- database for queue and post state
- media storage
- developer app approval from each closed platform (Meta, TikTok, YouTube, X) for anything beyond the open ones

## Explicit non-goals for v1

- the closed platforms: Meta, TikTok, YouTube, X and Google Business need approved developer apps and policy compliance
- client approval workflows and per-client workspace isolation
- white-label (your clients seeing your brand, not your stack)
- publish reliability infrastructure: retries, token-refresh, failure emails, watchdogs
- inbox/DM automation and cross-client analytics reports

## Success criteria

- The primary workflow is measurable end to end.
- Setup is reproducible in a clean environment.
- Failure, recovery, and support paths are documented.
- Product claims match what the implementation actually guarantees.

===== ARCHITECTURE.md =====
# Architecture

## Starting brief

Build me a personal social publishing agent: an MCP server (TypeScript, official SDK) exposing tools post_now, schedule_post, list_queue and cancel_post. Posts go to Bluesky (atproto, app-password auth, image + video upload via the video service) and Mastodon (masto.js, app registration). schedule_post writes to a SQLite queue; a cron worker publishes due posts with retry and exponential backoff, and failed posts surface through a get_failures tool instead of silently dropping. Include a dry-run mode that previews the per-platform rendering (300-grapheme limit handling for Bluesky, 500 chars for Mastodon) before anything goes live.

## Boundaries

Separate the product into replaceable modules for interface, application logic, persistence, external integrations, and operational concerns. Keep domain logic independent from delivery frameworks and vendors.

## Production baseline

- Configuration: validated at startup with safe local defaults where possible.
- Security: least privilege, input validation, secret redaction, rate limits on abuse-prone paths, and no invented security primitives.
- Data: explicit schema and migrations, transactional writes where integrity matters, backup and restore instructions.
- Integrations: adapters around third-party providers, idempotent webhook or job processing, bounded retries, and timeouts.
- Observability: structured logs with request or operation IDs, an error-tracking hook, and health/readiness checks where a server exists.
- Quality: unit tests for domain rules, integration tests at module boundaries, and one end-to-end critical-path test.

## Decision records

For each major dependency, document why it was chosen, its failure mode, and how it can be replaced. Do not introduce infrastructure until a requirement justifies it.

===== AGENTS.md =====
# Agent instructions

- Read `PRODUCT.md` and `ARCHITECTURE.md` before changing code.
- Implement milestone by milestone; keep each change reviewable and leave the application runnable.
- Treat authentication, payments, encryption, imports, webhooks, and destructive actions as high-risk boundaries when present.
- Never invent cryptography or silently weaken a requirement to make a test pass.
- Use provider interfaces for external services and deterministic fakes in tests.
- Add migrations and rollback or recovery notes for persistent data changes.
- Log useful operational context without credentials, tokens, passwords, or personal data.
- Update documentation and run all checks before completing a milestone.

===== MILESTONES.md =====
# Delivery milestones

## M0 — Decisions and scaffold

- Confirm the runtime, persistence model, threat boundaries, and deployment target.
- Create a reproducible local environment and continuous checks.

## M1 — Core workflow

- Implement the smallest end-to-end product path with validation and tests.
- Keep integrations behind interfaces.

## M2 — Trust layer

- Add secure failure behavior, recovery paths, audit-relevant events, and data safeguards.
- Test abuse cases and destructive operations.

## M3 — Operability

- Add structured logs, error reporting hooks, health signals, backup/restore documentation, and deployment configuration.

## M4 — Release gate

- Run a clean-install test, critical-path end-to-end test, dependency review, and documented rollback exercise.
- Compare the shipped behavior with `PRODUCT.md` and publish remaining limitations.

===== OPERATIONS.md =====
# Operations

## Before release

- Validate configuration and secrets at startup.
- Define backup, restore, and rollback procedures and test them.
- Document logs, error tracking, health signals, and alert ownership.
- Set dependency update and vulnerability review expectations.

## Incident checklist

1. Contain the issue without destroying evidence or user data.
2. Record the timeline and affected scope.
3. Rotate exposed secrets and revoke compromised sessions or credentials.
4. Restore from a verified source when needed.
5. Document the root cause, remediation, and regression test.

## Launch constraint

Do not market omitted Aidelly capabilities as implemented. The v1 non-goals in `PRODUCT.md` remain user-visible limitations until they are deliberately delivered.

# Aidelly indie build

## Goal

Build the smallest trustworthy replacement for the core Aidelly workflow for one developer or a tiny team.

## Scope

An MCP server exposing post-now and schedule tools that publish text and images to Bluesky and Mastodon from a cron-backed queue.

## Quick start

1. Install the documented dependencies.
2. Copy `.env.example` to `.env`.
3. Run the development command chosen during implementation.
4. Complete the acceptance checks in `BUILD_PLAN.md`.

## Honest limits

This build deliberately does not replace:
- the closed platforms: Meta, TikTok, YouTube, X and Google Business need approved developer apps and policy compliance
- client approval workflows and per-client workspace isolation
- white-label (your clients seeing your brand, not your stack)
- publish reliability infrastructure: retries, token-refresh, failure emails, watchdogs
- inbox/DM automation and cross-client analytics reports

If those capabilities are essential, use atproto (official SDK) instead of pretending the gap is solved.

# Agent instructions

- Optimize for a working, understandable weekend build.
- Prefer the fewest moving parts that satisfy the brief.
- Do not invent cryptography, security guarantees, APIs, or compliance claims.
- Keep secrets out of source control and logs.
- Add focused tests for destructive, security-sensitive, and data-loss paths.
- Run the project checks before declaring the build complete.
- Record any deliberate shortcut in the README under "Tradeoffs".

# Build plan

## Original build brief

Build me a personal social publishing agent: an MCP server (TypeScript, official SDK) exposing tools post_now, schedule_post, list_queue and cancel_post. Posts go to Bluesky (atproto, app-password auth, image + video upload via the video service) and Mastodon (masto.js, app registration). schedule_post writes to a SQLite queue; a cron worker publishes due posts with retry and exponential backoff, and failed posts surface through a get_failures tool instead of silently dropping. Include a dry-run mode that previews the per-platform rendering (300-grapheme limit handling for Bluesky, 500 chars for Mastodon) before anything goes live.

## Required capabilities

- Bluesky app password + Mastodon app registration
- hosted scheduler/cron
- database for queue and post state
- media storage
- developer app approval from each closed platform (Meta, TikTok, YouTube, X) for anything beyond the open ones

## Delivery order

1. Scaffold the smallest runnable application and document its commands.
2. Implement the primary data model and core workflow.
3. Add validation, safe failure states, and persistence.
4. Cover the critical path with automated tests.
5. Exercise a clean install from the README and fix every missing step.

## Done when

- A new user can go from clone to first successful workflow using only the README.
- The core workflow works without paid infrastructure unless the brief requires it.
- Tests cover the highest-risk behavior.
- Known limitations are explicit rather than hidden.

# Copy to .env and document every variable when it is introduced.
# Never put real credentials in this file.

APP_ENV=development
# Add only values required by the selected implementation.

# Aidelly product brief

## Problem

The agent layer is the buildable part: a weekend of vibe coding gets you an MCP server that posts to Bluesky and Mastodon, whose APIs are open. Everything after that is the product: approved OAuth apps for Meta, TikTok, YouTube, LinkedIn, X and Google Business (app review processes measured in weeks, and X's API is pay-per-use), token refresh across eleven platforms that silently break in eleven different ways, publish retry/recovery infrastructure, per-client workspaces with approval workflows, and white-label so agency clients never see the tool. The integration upkeep is not a one-shot; it is the job.

## Product outcome

An MCP server exposing post-now and schedule tools that publish text and images to Bluesky and Mastodon from a cron-backed queue.

## Target user

A serious builder who needs a maintainable product foundation rather than a one-off demo.

## Required capabilities

- Bluesky app password + Mastodon app registration
- hosted scheduler/cron
- database for queue and post state
- media storage
- developer app approval from each closed platform (Meta, TikTok, YouTube, X) for anything beyond the open ones

## Explicit non-goals for v1

- the closed platforms: Meta, TikTok, YouTube, X and Google Business need approved developer apps and policy compliance
- client approval workflows and per-client workspace isolation
- white-label (your clients seeing your brand, not your stack)
- publish reliability infrastructure: retries, token-refresh, failure emails, watchdogs
- inbox/DM automation and cross-client analytics reports

## Success criteria

- The primary workflow is measurable end to end.
- Setup is reproducible in a clean environment.
- Failure, recovery, and support paths are documented.
- Product claims match what the implementation actually guarantees.

# Architecture

## Starting brief

Build me a personal social publishing agent: an MCP server (TypeScript, official SDK) exposing tools post_now, schedule_post, list_queue and cancel_post. Posts go to Bluesky (atproto, app-password auth, image + video upload via the video service) and Mastodon (masto.js, app registration). schedule_post writes to a SQLite queue; a cron worker publishes due posts with retry and exponential backoff, and failed posts surface through a get_failures tool instead of silently dropping. Include a dry-run mode that previews the per-platform rendering (300-grapheme limit handling for Bluesky, 500 chars for Mastodon) before anything goes live.

## Boundaries

Separate the product into replaceable modules for interface, application logic, persistence, external integrations, and operational concerns. Keep domain logic independent from delivery frameworks and vendors.

## Production baseline

- Configuration: validated at startup with safe local defaults where possible.
- Security: least privilege, input validation, secret redaction, rate limits on abuse-prone paths, and no invented security primitives.
- Data: explicit schema and migrations, transactional writes where integrity matters, backup and restore instructions.
- Integrations: adapters around third-party providers, idempotent webhook or job processing, bounded retries, and timeouts.
- Observability: structured logs with request or operation IDs, an error-tracking hook, and health/readiness checks where a server exists.
- Quality: unit tests for domain rules, integration tests at module boundaries, and one end-to-end critical-path test.

## Decision records

For each major dependency, document why it was chosen, its failure mode, and how it can be replaced. Do not introduce infrastructure until a requirement justifies it.

# Agent instructions

- Read `PRODUCT.md` and `ARCHITECTURE.md` before changing code.
- Implement milestone by milestone; keep each change reviewable and leave the application runnable.
- Treat authentication, payments, encryption, imports, webhooks, and destructive actions as high-risk boundaries when present.
- Never invent cryptography or silently weaken a requirement to make a test pass.
- Use provider interfaces for external services and deterministic fakes in tests.
- Add migrations and rollback or recovery notes for persistent data changes.
- Log useful operational context without credentials, tokens, passwords, or personal data.
- Update documentation and run all checks before completing a milestone.

# Delivery milestones

## M0 — Decisions and scaffold

- Confirm the runtime, persistence model, threat boundaries, and deployment target.
- Create a reproducible local environment and continuous checks.

## M1 — Core workflow

- Implement the smallest end-to-end product path with validation and tests.
- Keep integrations behind interfaces.

## M2 — Trust layer

- Add secure failure behavior, recovery paths, audit-relevant events, and data safeguards.
- Test abuse cases and destructive operations.

## M3 — Operability

- Add structured logs, error reporting hooks, health signals, backup/restore documentation, and deployment configuration.

## M4 — Release gate

- Run a clean-install test, critical-path end-to-end test, dependency review, and documented rollback exercise.
- Compare the shipped behavior with `PRODUCT.md` and publish remaining limitations.

# Operations

## Before release

- Validate configuration and secrets at startup.
- Define backup, restore, and rollback procedures and test them.
- Document logs, error tracking, health signals, and alert ownership.
- Set dependency update and vulnerability review expectations.

## Incident checklist

1. Contain the issue without destroying evidence or user data.
2. Record the timeline and affected scope.
3. Rotate exposed secrets and revoke compromised sessions or credentials.
4. Restore from a verified source when needed.
5. Document the root cause, remediation, and regression test.

## Launch constraint

Do not market omitted Aidelly capabilities as implemented. The v1 non-goals in `PRODUCT.md` remain user-visible limitations until they are deliberately delivered.

$ choose a build depth, inspect the files, then open the complete pack in your agent