Found on Reddit.
Built in one session.
A founder posted a messy enterprise RAG problem on r/Rag — “the hard part is permissions.” No spec. No team. 795 characters. FLOWiGANTT turned it into a complete build-ready plan and exported 260 GitHub issues across 17 milestones.
“I want to build an internal knowledge system for enterprise teams. The core idea is RAG — teams upload their technical docs, PDFs, manuals, internal wikis and can query them with natural language. But the hard part is permissions...”— Original post, r/Rag
With AI
84d
vs 113d traditional
GitHub Issues
260
Hours Saved
237h
TAM
$40B
No signup. No login. Both links are public.
What FLOWiGANTT produced
From 795 characters to a complete system
Every step ran automatically. Nothing was manually re-explained between stages.
Step 1
Idea Evaluation
- 74% viability score
- $40B TAM identified
- 82% market potential
Step 2
Smart Q&A
- 8 targeted questions
- SSO surfaced as day-1 requirement
- Founder never mentioned it
Step 3
Architecture + PRD
- 25 API endpoints
- No LangChain — custom RAG pipeline
- 21 PRD sections, 4 personas
Step 4
Tasks + Export
- 17 epics → 52 stories → 208 tasks
- 260 GitHub issues in 17 milestones
- AI tool assigned to every task
How We Calculate
Strategic Value
ROI isn't just a number—it's the tangible result of eliminating manual overhead and technical misalignment during the most critical phase of your project.
Time Saved
Planning to Sprint Zero
The Formula
Estimated Cost Saving
Based on $2,040/day team burn
Architectural
Acceleration
Why teams choose FLOWiGANTT over manual planning. We don't just generate tasks; we synthesize technical context into a buildable reality.
Deep Context Synthesis
Unlike generic LLMs, our engine maps infrastructure, security, and product requirements into a unified 3D graph before generating any task.
Instant Document Parity
PRDs, Architecture Docs, and Jira Tasks are generated simultaneously, ensuring 100% alignment across the entire document suite.
Production-Ready Logic
Tasks include technical implementation details, recommended AI tools, and dependency-aware critical path calculations.
From "Idea" to "Code-Ready"
in 30 Minutes.
Every screenshot is real
The actual output
These are unedited screenshots from the live session. The shared plan and GitHub repo are linked below — browse them yourself.
Idea Evaluation
74% viability · $40B TAM · 82% market potential
Smart Q&A
8 questions — SSO surfaced before a line was written
System Architecture
25 API endpoints · Custom RAG pipeline · No LangChain
Product Requirements
21 sections · 4 user personas · Full acceptance criteria
GitHub Export
17 milestones · 260 issues · Each with AI tool, file path, sprint
The GitHub export
Not a summary. An actual repository.
The plan exported directly to GitHub. Every epic became a milestone with a full description. Every user story and engineering task became a linked issue — with acceptance criteria, file paths, sprint assignment, risk level, and a specific AI tool recommendation (Claude Code, Copilot, or Cursor) per task.
17
Milestones
260
Issues
6
Sprints
34d
Critical path
No signup. No login. Both are public.
Why this worked
Context carried forward at every step
Nothing re-explained
The architecture informed the PRD. The PRD informed the tasks. The tasks informed the export. No copy-paste between tools.
The gaps were caught
SSO wasn't in the original idea. Question 8 surfaced it as a day-1 requirement before a single line of architecture was written.
The output was usable
Not a document to be manually re-entered. A GitHub repo with linked, sprint-assigned issues a developer can pick up immediately.
What would you build?
Paste your idea — messy, half-formed, straight from your notes app.
FLOWiGANTT takes it from there.
Free for your first project. No credit card.