Three revolutionary products.
Are you getting it?
These are not three separate products.
This is Agiletic.
Hierarchical planning, autonomous implementation, and automated verification — the structured methodology that makes human teams ship reliably, now fully agentic.
AI coding tools are powerful. But they don't manage complexity.
No decomposition
You manually break every feature into steps, sequence them, and track dependencies. The AI handles one prompt at a time — you handle the project management.
No context flow
Every prompt starts from scratch. Task 5 doesn't know what Tasks 1-4 created. You copy-paste context between sessions, hoping nothing gets lost.
No verification
You eyeball whether it worked. No formal criteria, no structured review, no quality gates. The AI writes code — you do the QA.
A structured pipeline, not a chat window
Every piece of work flows through the same disciplined process — from classification to verification.
Classify
Scope & allocate
Describe what you want to build. Agiletic classifies the complexity and automatically allocates resources — a typo fix doesn't trigger a full research phase.
Plan
Research & decompose
Your codebase is explored, patterns and conventions are discovered, and work is decomposed hierarchically: Epic to Feature to Story to Task — just like an agile team.
Build
Execute with context
Tasks are executed with full inherited context from the hierarchy. Each task knows what its siblings created, what patterns to follow, and what criteria to meet.
Verify
Review & iterate
Acceptance criteria are checked, integration is verified, and code quality is reviewed. Failures trigger targeted fix loops — not full restarts.
Six reasons methodology matters
The difference between a general-purpose coding agent and a structured development platform.
Hierarchy is structural
Epic, Feature, Story, Task — each level gets different research depth, resource budgets, applicable rules, and pipeline phases. Not just labels.
Context inheritance
Every step knows exactly what it needs based on its position in the hierarchy. Structured context flows down, sibling awareness flows across.
Complexity-adaptive
Incoming work is classified and resources scale automatically. A typo fix gets minimal overhead. An MVP gets full decomposition and human review gates.
Filtered rules
A 40+ rule library doesn't bloat every step. Each phase gets only the 3-5 rules relevant to its current job — filtered by role, work level, and tech stack.
Project-level persistence
Close the app, come back tomorrow. Research outputs, plans, phase summaries, and cost tracking persist at the project level — not session level.
Enforced pipeline
Every feature goes through the same gates: Classify, Plan, Build, Verify. Consistent quality, auditable process, predictable costs.
See everything happening. Control everything.
A desktop app that gives you full visibility into what AI agents are doing — real-time streaming, phase progress, and cost tracking.





Streaming logs
Watch every step of the process in real-time
Phase progress
Visual timeline from classification to verification
Hierarchy view
See how work cascades from Epic to Task
Cost tracking
Per-phase cost breakdown with budgets
Typical AI coding vs. Agiletic
AI coding tools are powerful. Agiletic gives them the methodology to manage real projects.
| Aspect | Typical AI Coding | Agiletic |
|---|---|---|
| Planning | Conversational, ad-hoc | Structured 4-phase pipeline |
| Context | Flat — everything or nothing | Scoped per hierarchy level with inheritance |
| Task management | Flat todo list | Epic → Feature → Story → Task hierarchy |
| Rules & guidance | One config applies to everything | Filtered by phase, work level, and tech stack |
| Cost tracking | Session-level totals | Per-phase, per-task with budgets |
| Quality gate | Manual review | Automated verification with acceptance criteria |
| Persistence | Session-based | Project-level structured state |
| Methodology | None — general-purpose | Agentic Agile built into the architecture |
“The same structured process that makes human teams ship reliably — now for AI agents.”
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