Michael Chihlas 8649a4aa29
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docs: refresh CURRENT-STATE, ROADMAP, README, DECISIONS for self-serve cutover
Pulls the public docs forward to match the current state of the repo. No
behavior changes — every edit is informational.

- CURRENT-STATE.md: bump date to 2026-05-07; add entries for PR #159 (Diátaxis
  User Guides), #160 (sidebar IA + account redesign), #161 (self-serve Phase 1
  backend), #162 (Phase 2 frontend cutover), #163 (seed users email-verified),
  #164 (open: taxonomy + INTERNAL_TESTER_EMAILS allowlist). Refresh "What's
  In Progress" and "What's Next" to reflect Phase O cutover as the active work.
- 03-DEVELOPMENT-ROADMAP.md: add a "Status as of 2026-05-07" preamble at the
  top so the months-stale historical content underneath is clearly framed as
  historical record. Replace stale "In Progress" rows (PR #114, ConnectWise
  Advanced) with current ones (#164 cutover, external Director-of-Onboarding
  validation calls). Add Phase O cutover checklist as the new near-term
  priority section. Mark search-and-recall complete (shipped via Voyage AI
  embeddings).
- README.md: replace `docker start patherly_postgres` (legacy container name)
  with `docker compose -f docker-compose.dev.yml up -d`. Repath project tree
  from `patherly/` to `resolutionflow/` and add `.ai/` + `scripts/` directories.
  Replace `UI-DESIGN-SYSTEM.md` (superseded) with `DESIGN-SYSTEM.md` in the
  documentation table; add `AGENTS.md`, `PROJECT_CONTEXT.md`, `PRODUCT.md`.
- DECISIONS.md: append entries for the two architectural decisions made today
  — plan taxonomy reconciliation (rename team→enterprise, add starter) and
  the INTERNAL_TESTER_EMAILS allowlist for self-serve soft cutover.
- .env.example: add INTERNAL_TESTER_EMAILS line (user edit, paired with the
  backend allowlist that landed in the prior commit).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-07 22:56:01 -04:00
2026-04-24 23:17:06 -04:00
2026-04-24 23:17:06 -04:00

ResolutionFlow

Stop writing ticket notes. Start generating them.

ResolutionFlow is an AI-powered troubleshooting platform for MSP professionals. Engineers follow guided flows while an AI copilot assists — and documentation writes itself as a byproduct of the work.

Production: resolutionflow.com


Quick Start

# Prerequisites: Docker, Python 3.12, Node.js 20+

# Start PostgreSQL (and the rest of the dev stack)
docker compose -f docker-compose.dev.yml up -d

# Backend
cd backend
source venv/bin/activate
pip install -r requirements.txt
alembic upgrade head
uvicorn app.main:app --reload

# Frontend (separate terminal)
cd frontend
npm install
npm run dev

See DEV-ENV.md for full environment setup (devserver, Docker, CORS).


Features

FlowPilot AI Copilot

Like having a senior engineer on every call. FlowPilot guides troubleshooting decisions, suggests next steps with context-aware intelligence, and automatically captures documentation as a byproduct of the session.

  • Confidence-tiered model routing (fast responses for simple steps, deeper reasoning for complex decisions)
  • AI-generated ticket summaries and session documentation
  • Standalone assistant chat with RAG for open-ended troubleshooting
  • Knowledge Flywheel: AI analyzes completed sessions and proposes new flows automatically

Guided Flows

  • Troubleshooting Flows — Decision trees with branching paths for diagnosing issues
  • Procedural Flows (Projects) — Step-by-step checklists for onboarding, migrations, deployments
  • Maintenance Flows — Scheduled recurring tasks with batch execution across multiple targets
  • Visual Flow Editor with drag-and-drop canvas, undo/redo, markdown support
  • AI Flow Builder — describe what you need, get a complete flow generated

Auto-Documentation

Every session generates timestamped, detailed notes formatted for your PSA. Engineers never write another ticket note.

  • Export to Markdown, plain text, or HTML
  • Sensitive data redaction
  • One-click push to ConnectWise PSA tickets

ConnectWise PSA Integration

  • Post session documentation directly to ConnectWise tickets as internal notes
  • Pull ticket details and client context into FlowPilot sessions
  • Member mapping between ResolutionFlow and ConnectWise users
  • Credentials encrypted at rest (Fernet), stored per-team

Team & Knowledge Management

  • Role-based access (super_admin, team_admin, engineer, viewer)
  • Shared flow library with categories, tags, folders, full-text search
  • Step Library — reusable troubleshooting steps with ratings and reviews
  • Session sharing via link (authenticated and public views)
  • Escalation workflow with AI-enhanced briefing packages
  • Flow proposals from AI analysis (review queue for team leads)

Tech Stack

Layer Technology
Frontend React 19, TypeScript, Vite, Tailwind CSS v4
State Zustand (immer + zundo for undo/redo)
Routing React Router v7
Canvas @xyflow/react (React Flow) + dagre
Backend Python FastAPI, async SQLAlchemy 2.0 + asyncpg
Database PostgreSQL 16
Migrations Alembic (75+ migrations)
Auth JWT (python-jose) + bcrypt, refresh token rotation
AI Anthropic Claude API (tiered model routing)
Embeddings Voyage AI (semantic search)
Scheduling APScheduler 3.x (async)
Analytics PostHog
Hosting Railway (auto-deploy on push to main)

Project Structure

resolutionflow/
├── backend/
│   ├── app/
│   │   ├── main.py                 # FastAPI entry point
│   │   ├── api/endpoints/          # Route handlers (50+ endpoints)
│   │   ├── core/                   # Config, database, permissions, security
│   │   ├── models/                 # SQLAlchemy models
│   │   ├── schemas/                # Pydantic schemas
│   │   └── services/psa/           # PSA provider abstraction layer
│   ├── alembic/                    # Database migrations
│   ├── scripts/                    # Seed + sync scripts (incl. sync_stripe_plan_ids.py)
│   └── tests/                      # Integration tests (100+)
├── frontend/
│   ├── src/
│   │   ├── components/             # UI components by domain
│   │   ├── pages/                  # Page components
│   │   ├── store/                  # Zustand stores
│   │   └── types/                  # TypeScript interfaces
├── .ai/                            # Dual-agent handoff system (PROJECT_CONTEXT, HANDOFF, etc.)
├── docs/                           # Design docs, plans, ConnectWise reference
├── brand-assets/                   # SVGs, brand guide
├── CLAUDE.md                       # AI assistant project context (Claude Code)
├── AGENTS.md                       # AI assistant project context (Codex; shared protocol with CLAUDE.md)
├── CURRENT-STATE.md                # Detailed feature status
├── DESIGN-SYSTEM.md                # Visual + interaction design system
├── PRODUCT.md                      # Design intent and brand personality
└── CHANGELOG.md                    # Release history

The on-disk repo path is resolutionflow/. patherly is the legacy internal name — still appears in some Railway service names and the prod DB name. Treat as an alias, not canonical.


Running Tests

# Backend integration tests
cd backend
pytest --override-ini="addopts="

# Frontend build (stricter than tsc --noEmit)
cd frontend
npm run build

Documentation

Document Purpose
CLAUDE.md Project context for Claude Code
AGENTS.md Project context for Codex (shared protocol with CLAUDE.md)
.ai/PROJECT_CONTEXT.md Stable architectural truth
CURRENT-STATE.md Detailed feature status
03-DEVELOPMENT-ROADMAP.md Development roadmap
DESIGN-SYSTEM.md Visual + interaction design system (charcoal palette + electric blue accent)
PRODUCT.md Design intent, users, brand personality
DEV-ENV.md Development environment setup
CHANGELOG.md Release history

License

Proprietary. All rights reserved.

Description
Troubleshooting decision tree application for MSP engineers - automatically generates professional documentation from guided diagnostic workflows
Readme 16 MiB
Languages
Python 54.7%
TypeScript 43.5%
HTML 1.1%
CSS 0.6%