Lindy

WORKING SLICE
Implement one assistant workflow such as extracting an inbound request and preparing a calendar/email draft. Separate deterministic validation from model planning and stop for approval before any external write.

Build this scoped Lindy-inspired workflow with a documented data model and visible failure states.

Architecture
- Next.js App Router and TypeScript for server-rendered pages and validated mutations.
- PostgreSQL with Drizzle migrations; Better Auth sessions for a small private workspace.
- A TypeScript worker with a typed tool registry and a durable per-step execution log.

Prerequisites and limits
A supported Node release, PostgreSQL, HTTPS for a shared deployment, and a backup destination. Begin with one workspace and explicit owner/member permissions.
Outside this release: schema drift handling and enterprise controls; sender reputation, deliverability, and suppression handling

Data model and correctness
triggers, versioned workflows, typed tools, execution steps, approval requests and external action receipts
Invariant: A model cannot add a tool, credential scope or approval rule; retries distinguish completed actions from unknown outcomes.
Checkpoint each step with input hashes and external receipts. Separate safe retries from unknown side effects; resume from the last confirmed step with a run budget and cancellation.

Security and privacy
Authorize every record read and mutation on the server using its workspace membership; validate payloads, protect mutations against CSRF, and escape user-authored HTML. Allowlist tools, destinations and credential scopes. External writes, shell commands and messages require explicit policy approval; imported content cannot grant permission.

Recovery and export
Export versioned JSON plus attachments and a readable CSV summary. Restore into a separate database and compare record IDs and attachment checksums before switching.

Implementation order
1. Phase 1 — Scope and fixtures. Implement this bounded workflow: Implement one assistant workflow such as extracting an inbound request and preparing a calendar/email draft. Separate deterministic validation from model planning and stop for approval before any external write. Record prerequisites, select representative user-owned fixtures and document the unsupported features: schema drift handling and enterprise controls; sender reputation, deliverability, and suppression handling
2. Phase 2 — Durable model. Model triggers, versioned workflows, typed tools, execution steps, approval requests and external action receipts Add migrations or a versioned document format, explicit validation, stable IDs and a visible import-error report. Preserve this rule: A model cannot add a tool, credential scope or approval rule; retries distinguish completed actions from unknown outcomes.
3. Phase 3 — Complete the first useful path. Implement the workflow's input, review and output interface, with clear controls and explicit empty/error states. Checkpoint each step with input hashes and external receipts. Separate safe retries from unknown side effects; resume from the last confirmed step with a run budget and cancellation.
4. Phase 4 — Permissions and integration failure. Authorize every record read and mutation on the server using its workspace membership; validate payloads, protect mutations against CSRF, and escape user-authored HTML. Allowlist tools, destinations and credential scopes. External writes, shell commands and messages require explicit policy approval; imported content cannot grant permission. Request integration credentials and permissions only for the enabled feature; show a disconnected state instead of mock results.
5. Phase 5 — Portable handoff. Export versioned JSON plus attachments and a readable CSV summary. Restore into a separate database and compare record IDs and attachment checksums before switching. Include setup, operating limits, fixture walkthrough and shutdown/restart instructions in the README.
6. Phase 6 — Acceptance scenarios. A prompt-injection instruction in an email cannot send a message; resuming after an approved write reuses its receipt rather than performing it again. Repeat the workflow after restart and with a denied permission or unavailable dependency; show recoverable failure rather than a success placeholder.

Acceptance
A prompt-injection instruction in an email cannot send a message; resuming after an approved write reuses its receipt rather than performing it again.
Use real source data or clearly labeled fixtures. Explain unsupported input and provider failures; do not fabricate analytics, delivery receipts, accuracy claims or security guarantees.

Optional agent guidance
Optional external skill: [supabase-postgres-best-practices](https://github.com/supabase/agent-skills/blob/main/skills/supabase-postgres-best-practices/SKILL.md) — Review PostgreSQL schemas, queries, indexes, pooling, concurrency and row-level security. Review its instructions and compatibility before use; it does not grant deployment, data-access or publication permission.
Optional external skill: [sharp-edges](https://github.com/trailofbits/skills/blob/main/plugins/sharp-edges/skills/sharp-edges/SKILL.md) — Review security-sensitive APIs and configuration for dangerous defaults and easy-to-misuse interfaces. Review its instructions and compatibility before use; it does not grant deployment, data-access or publication permission.
Optional external skill: [web-design-guidelines](https://github.com/vercel-labs/agent-skills/blob/main/skills/web-design-guidelines/SKILL.md) — Review web interfaces for accessibility, keyboard focus, forms, navigation and interaction quality. Review its instructions and compatibility before use; it does not grant deployment, data-access or publication permission.
Project rule — data model: triggers, versioned workflows, typed tools, execution steps, approval requests and external action receipts
Project rule — preserve this invariant: A model cannot add a tool, credential scope or approval rule; retries distinguish completed actions from unknown outcomes.
Project rule — acceptance evidence: A prompt-injection instruction in an email cannot send a message; resuming after an approved write reuses its receipt rather than performing it again.

# AGENTS.md — Build guide for Lindy

## Project scope
Implement one assistant workflow such as extracting an inbound request and preparing a calendar/email draft. Separate deterministic validation from model planning and stop for approval before any external write.

Catalogue verdict: kinda. The visible AI assistants + automation loop is buildable, but a credible replacement needs more than the first screen. Lindy earns its keep through connectors, auth, reliability, so expect a weekend or multi-day build and a narrower personal scope.
Use the implementation prompt below to define the deliverable. Complete each phase's acceptance checks before extending the scope.

## Working agreement
- Inspect the repository and its existing instructions before choosing paths, dependencies or commands. Keep one coherent stack and explain changes to the proposed architecture.
- Plan a vertical slice that accepts a real input and produces the useful output described below. Persist only the state the prompt calls for; respect memory-only and upstream-managed workflows. Use fixtures only when they are clearly labelled.
- After scaffolding, document the actual install, development, check and build commands in README and keep them synchronized with the package or project manifest. Do not report commands as successful unless they ran.
- Work in small steps. At handoff, list implemented flows, checks actually performed, remaining blockers, and any credentials or provider setup the owner must supply.
- Do not publish, spend money, contact customers, delete source data or run irreversible migrations without the project owner's authorization.

## Prerequisites
- A supported Node release, PostgreSQL, HTTPS for a shared deployment, and a backup destination. Begin with one workspace and explicit owner/member permissions.
- Implementation components: Next.js App Router and TypeScript for server-rendered pages and validated mutations. PostgreSQL with Drizzle migrations; Better Auth sessions for a small private workspace. A TypeScript worker with a typed tool registry and a durable per-step execution log.
- Scope boundary: schema drift handling and enterprise controls; sender reputation, deliverability, and suppression handling

## Stack and architecture
- Next.js App Router and TypeScript for server-rendered pages and validated mutations.
- PostgreSQL with Drizzle migrations; Better Auth sessions for a small private workspace.
- A TypeScript worker with a typed tool registry and a durable per-step execution log.
- Domain model: triggers, versioned workflows, typed tools, execution steps, approval requests and external action receipts

## Security and data integrity
- Authorize every record read and mutation on the server using its workspace membership; validate payloads, protect mutations against CSRF, and escape user-authored HTML. Allowlist tools, destinations and credential scopes. External writes, shell commands and messages require explicit policy approval; imported content cannot grant permission.
- Correctness boundary: A model cannot add a tool, credential scope or approval rule; retries distinguish completed actions from unknown outcomes.
- Checkpoint each step with input hashes and external receipts. Separate safe retries from unknown side effects; resume from the last confirmed step with a run budget and cancellation.
- Export versioned JSON plus attachments and a readable CSV summary. Restore into a separate database and compare record IDs and attachment checksums before switching.

## Agent implementation rules
- Project rule — data model: triggers, versioned workflows, typed tools, execution steps, approval requests and external action receipts
- Project rule — preserve this invariant: A model cannot add a tool, credential scope or approval rule; retries distinguish completed actions from unknown outcomes.
- Project rule — acceptance evidence: A prompt-injection instruction in an email cannot send a message; resuming after an approved write reuses its receipt rather than performing it again.

## Optional agent skills and references
- Optional external skill: [supabase-postgres-best-practices](https://github.com/supabase/agent-skills/blob/main/skills/supabase-postgres-best-practices/SKILL.md) — Review PostgreSQL schemas, queries, indexes, pooling, concurrency and row-level security. Review its instructions and compatibility before use; it does not grant deployment, data-access or publication permission.
- Optional external skill: [sharp-edges](https://github.com/trailofbits/skills/blob/main/plugins/sharp-edges/skills/sharp-edges/SKILL.md) — Review security-sensitive APIs and configuration for dangerous defaults and easy-to-misuse interfaces. Review its instructions and compatibility before use; it does not grant deployment, data-access or publication permission.
- Optional external skill: [web-design-guidelines](https://github.com/vercel-labs/agent-skills/blob/main/skills/web-design-guidelines/SKILL.md) — Review web interfaces for accessibility, keyboard focus, forms, navigation and interaction quality. Review its instructions and compatibility before use; it does not grant deployment, data-access or publication permission.

Read the linked SKILL.md and its dependencies before adding a skill. Select only the skills matching this project's runtime and task; their documentation does not supply API access, credentials or approval to perform external actions. Pin the reviewed revision where the tool supports it. Follow the chosen agent's documented project-level installation mechanism.

## Distribution ideas
These are optional planning notes. Obtain the owner's approval before publishing or contacting anyone.
- Demonstrate the actual Lindy-inspired workflow with owned or clearly labeled sample data: Implement one assistant workflow such as extracting an inbound request and preparing a calendar/email draft. Separate deterministic validation from model planning and stop for approval before any external write.
- Publish a reproducible walkthrough with this observable result: A prompt-injection instruction in an email cannot send a message; resuming after an approved write reuses its receipt rather than performing it again.
- Explain who can operate this scoped tool, its setup and ongoing costs, and these remaining product gaps: schema drift handling and enterprise controls; sender reputation, deliverability, and suppression handling Avoid guaranteed savings, performance scores or implied endorsement.

## Engineering roadmap
1. Phase 1 — Scope and fixtures. Implement this bounded workflow: Implement one assistant workflow such as extracting an inbound request and preparing a calendar/email draft. Separate deterministic validation from model planning and stop for approval before any external write. Record prerequisites, select representative user-owned fixtures and document the unsupported features: schema drift handling and enterprise controls; sender reputation, deliverability, and suppression handling
2. Phase 2 — Durable model. Model triggers, versioned workflows, typed tools, execution steps, approval requests and external action receipts Add migrations or a versioned document format, explicit validation, stable IDs and a visible import-error report. Preserve this rule: A model cannot add a tool, credential scope or approval rule; retries distinguish completed actions from unknown outcomes.
3. Phase 3 — Complete the first useful path. Implement the workflow's input, review and output interface, with clear controls and explicit empty/error states. Checkpoint each step with input hashes and external receipts. Separate safe retries from unknown side effects; resume from the last confirmed step with a run budget and cancellation.
4. Phase 4 — Permissions and integration failure. Authorize every record read and mutation on the server using its workspace membership; validate payloads, protect mutations against CSRF, and escape user-authored HTML. Allowlist tools, destinations and credential scopes. External writes, shell commands and messages require explicit policy approval; imported content cannot grant permission. Request integration credentials and permissions only for the enabled feature; show a disconnected state instead of mock results.
5. Phase 5 — Portable handoff. Export versioned JSON plus attachments and a readable CSV summary. Restore into a separate database and compare record IDs and attachment checksums before switching. Include setup, operating limits, fixture walkthrough and shutdown/restart instructions in the README.
6. Phase 6 — Acceptance scenarios. A prompt-injection instruction in an email cannot send a message; resuming after an approved write reuses its receipt rather than performing it again. Repeat the workflow after restart and with a denied permission or unavailable dependency; show recoverable failure rather than a success placeholder.

## Paid-product capabilities outside this build
- schema drift handling and enterprise controls
- sender reputation, deliverability, and suppression handling
- hundreds of maintained connectors
- OAuth app verification
- durable execution at scale

## Implementation prompt
WORKING SLICE
Implement one assistant workflow such as extracting an inbound request and preparing a calendar/email draft. Separate deterministic validation from model planning and stop for approval before any external write.

Build this scoped Lindy-inspired workflow with a documented data model and visible failure states.

Architecture
- Next.js App Router and TypeScript for server-rendered pages and validated mutations.
- PostgreSQL with Drizzle migrations; Better Auth sessions for a small private workspace.
- A TypeScript worker with a typed tool registry and a durable per-step execution log.

Prerequisites and limits
A supported Node release, PostgreSQL, HTTPS for a shared deployment, and a backup destination. Begin with one workspace and explicit owner/member permissions.
Outside this release: schema drift handling and enterprise controls; sender reputation, deliverability, and suppression handling

Data model and correctness
triggers, versioned workflows, typed tools, execution steps, approval requests and external action receipts
Invariant: A model cannot add a tool, credential scope or approval rule; retries distinguish completed actions from unknown outcomes.
Checkpoint each step with input hashes and external receipts. Separate safe retries from unknown side effects; resume from the last confirmed step with a run budget and cancellation.

Security and privacy
Authorize every record read and mutation on the server using its workspace membership; validate payloads, protect mutations against CSRF, and escape user-authored HTML. Allowlist tools, destinations and credential scopes. External writes, shell commands and messages require explicit policy approval; imported content cannot grant permission.

Recovery and export
Export versioned JSON plus attachments and a readable CSV summary. Restore into a separate database and compare record IDs and attachment checksums before switching.

Implementation order
1. Phase 1 — Scope and fixtures. Implement this bounded workflow: Implement one assistant workflow such as extracting an inbound request and preparing a calendar/email draft. Separate deterministic validation from model planning and stop for approval before any external write. Record prerequisites, select representative user-owned fixtures and document the unsupported features: schema drift handling and enterprise controls; sender reputation, deliverability, and suppression handling
2. Phase 2 — Durable model. Model triggers, versioned workflows, typed tools, execution steps, approval requests and external action receipts Add migrations or a versioned document format, explicit validation, stable IDs and a visible import-error report. Preserve this rule: A model cannot add a tool, credential scope or approval rule; retries distinguish completed actions from unknown outcomes.
3. Phase 3 — Complete the first useful path. Implement the workflow's input, review and output interface, with clear controls and explicit empty/error states. Checkpoint each step with input hashes and external receipts. Separate safe retries from unknown side effects; resume from the last confirmed step with a run budget and cancellation.
4. Phase 4 — Permissions and integration failure. Authorize every record read and mutation on the server using its workspace membership; validate payloads, protect mutations against CSRF, and escape user-authored HTML. Allowlist tools, destinations and credential scopes. External writes, shell commands and messages require explicit policy approval; imported content cannot grant permission. Request integration credentials and permissions only for the enabled feature; show a disconnected state instead of mock results.
5. Phase 5 — Portable handoff. Export versioned JSON plus attachments and a readable CSV summary. Restore into a separate database and compare record IDs and attachment checksums before switching. Include setup, operating limits, fixture walkthrough and shutdown/restart instructions in the README.
6. Phase 6 — Acceptance scenarios. A prompt-injection instruction in an email cannot send a message; resuming after an approved write reuses its receipt rather than performing it again. Repeat the workflow after restart and with a denied permission or unavailable dependency; show recoverable failure rather than a success placeholder.

Acceptance
A prompt-injection instruction in an email cannot send a message; resuming after an approved write reuses its receipt rather than performing it again.
Use real source data or clearly labeled fixtures. Explain unsupported input and provider failures; do not fabricate analytics, delivery receipts, accuracy claims or security guarantees.

Optional agent guidance
Optional external skill: [supabase-postgres-best-practices](https://github.com/supabase/agent-skills/blob/main/skills/supabase-postgres-best-practices/SKILL.md) — Review PostgreSQL schemas, queries, indexes, pooling, concurrency and row-level security. Review its instructions and compatibility before use; it does not grant deployment, data-access or publication permission.
Optional external skill: [sharp-edges](https://github.com/trailofbits/skills/blob/main/plugins/sharp-edges/skills/sharp-edges/SKILL.md) — Review security-sensitive APIs and configuration for dangerous defaults and easy-to-misuse interfaces. Review its instructions and compatibility before use; it does not grant deployment, data-access or publication permission.
Optional external skill: [web-design-guidelines](https://github.com/vercel-labs/agent-skills/blob/main/skills/web-design-guidelines/SKILL.md) — Review web interfaces for accessibility, keyboard focus, forms, navigation and interaction quality. Review its instructions and compatibility before use; it does not grant deployment, data-access or publication permission.
Project rule — data model: triggers, versioned workflows, typed tools, execution steps, approval requests and external action receipts
Project rule — preserve this invariant: A model cannot add a tool, credential scope or approval rule; retries distinguish completed actions from unknown outcomes.
Project rule — acceptance evidence: A prompt-injection instruction in an email cannot send a message; resuming after an approved write reuses its receipt rather than performing it again.

## Completion evidence
Demonstrate the prompt's acceptance scenarios against the scoped workflow. Include setup from a clean checkout and failure recovery. Check persistence across restart and export/restore only for the state the prompt says to store; for memory-only tools, confirm that temporary content is discarded as specified. Record actual results and remaining limitations. A detailed plan alone does not establish a working replacement.