Plan once. Verdict delivers.
AI development with governance, not guesswork.
Verdict turns a clear plan into a working version β with a governed multi-agent system that plans, delegates, executes, and verifies.
Why "Vibe Coding" Stalls
Most AI development today looks like this: prompt β partial change β correction β more prompts β more corrections...
It's a loop of micromanagement. You're not shipping β you're steering.
The tools are brilliant. The workflow is broken.
| Tool | What It Does Well | Where It Falls Short |
|---|---|---|
| Cursor | Speed, polish, great autocomplete | No governance beyond org controls |
| Windsurf | Enterprise compliance, SWE models | Single-assistant model, chat-first |
| Antigravity | Full autonomy, agentic plans | Documented failures: drive wipes, exposed secrets |
| VS Code + Copilot | Ecosystem, familiarity | DIY governance, no built-in planning |
In 2025, AI agents made headlines for the wrong reasons:
- Misinterpreted commands wiping entire drives
- Unrestricted terminal access exposing sensitive files
- Opaque changes that no one could explain
"Just trust the AI" isn't a strategy. It's a risk.
Delivery-First AI Development
Cursor and Windsurf are brilliant coding assistants. Verdict is a governed delivery system β with autopilot, brakes, and a black box recorder.
Traditional AI Coding
- Prompt-driven
- Single assistant
- Opaque execution
- Chat-first
- Cloud-only
- "What changed?"
Verdict Delivery System
- Plan-driven
- Multi-agent hierarchy
- Full observability
- Run-first
- Your choice: on-prem or cloud
- What changed, when, why, and who approved?
Plan Once. Iteratively Deliver.
You vibe plan. Verdict iteratively delivers.
Collaborate on a plan
Fast, conversational, flexible
Verdict executes
Agents delegate, coordinate, and implement
Review outcomes
See what happened, approve or iterate
Ship
GitOps integration, protected branches, rollback via Git
You iterate at the plan level, not by micromanaging every line of code.
The PAS Agent Hierarchy
Verdict isn't one assistant. It's a coordinated team.
ARCHITECT
Expands your job card β task graph, resolves dependencies
DIRECTOR-CODE
Code impl, API design
DIRECTOR-DATA
Data schema, ETL pipelines
DIRECTOR-DOCS
Narrative, documentation
MANAGER
Step-by-step execution
MANAGER
Step-by-step execution
MANAGER
Step-by-step execution
PROGRAMMER
LLM + Aider + Git + Tools
PROGRAMMER
SQL + Graph
PROGRAMMER
LLM
Every agent has a job. Every job has a chain of command.
This isn't just "more agents." It's governed autonomy β each agent operates within its lane, with oversight, budgets, and audit trails.
Right-Sized Intelligence
The right model for each job β so you get power without waste.
Big models for planning
For: Architecture, constraints, correctness
Models: Claude Sonnet 4.5, GPT-4o, Gemini Pro
Used by: Architect, Directors
Mid-size models for coordination
For: Task routing, structured execution, management
Models: Claude Haiku, GPT-4o-mini, Gemini Flash
Used by: Managers, Programmers
Small, fast models for mechanical work
For: Simple edits, refactors, formatting
Models: Local Llama 3.1 8B, Mistral 7B
Used by: Programmers for routine changes
The Result
High-quality outcomes, faster iteration, and lower cost β because each step gets the minimum necessary compute to do it right.
The Gateway makes it automatic. You don't think about model selection β it routes each request based on task complexity, budget constraints, and your preferences.
Blueprint: Know Before You Build
Most AI tools start writing code immediately. Verdict starts with estimation.
What Blueprint delivers
Estimates
Tokens, cost, duration, agent mix, energy, carbon β with 95% confidence intervals
Timeline
Mermaid Gantt charts with critical path analysis
Trade-offs
Local vs cloud LLMs, cost vs speed, quality vs budget
Collateral
Tech deck, marketing deck, SoW summary β auto-generated
Run Cards
Estimate vs Actual comparison after execution
"Know before you go" isn't just a slogan. It's how you avoid $500 surprise bills.
See Everything, Trust the Process
This isn't "chain-of-thought" spam. It's system observability β so you can trust the process, debug faster, and stay in control.
| Agent | Status | Task |
|---|---|---|
| Architect | β Done | Expanded job card |
| Director-Code | β Done | Allocated tasks |
| Manager-Code-Auth | π Running | Implement OAuth flow |
| Programmer-001 | β³ Queued | Write token endpoint |
| Programmer-002 | β³ Queued | Update refresh logic |
Recent Activity:
- Manager-Code-Auth edited src/auth/oauth.py (+45, -12)
- Programmer-001 ran tests: 23 passed, 2 failed
- Budget alert: OAuth lane at 60% of allocation
What you see
High-level
Which agents are running, current status, progress bars
Task-level
What tasks are executing, which agent owns each, ETAs
Tool-level
Which tools were used, what parameters, what results
Change-level
What changed and why, diff previews, approval gates
Autopilot with Brakes
Other tools ask you to choose: fast AND unsafe, OR slow AND safe. Verdict is built differently.
The governance stack
Runs
Every AI action has a run_id, budget, and constraints
Budget Governor
Per-run and per-user credit limits with hard stops
GitOps
All changes go through PRs β no direct writes to main
Protected branches
Approval required for main, release/*, etc.
Tron
Real-time monitoring with anomaly detection
Power Law Engine
Detects "weird" activity (too many files, odd outliers)
Audit trail
Full log of every tool call, decision, and approval
What this prevents
Runaway costs
Budget governor with hard caps
Prod disasters
Protected branches + PR approval
Data exfiltration
Tool permissions + network controls
Drift away from plan
Blueprint linkage + Run receipts
"What just happened?"
Full audit trail + Black Box replay
"Antigravity is what happens when you give an AI root. Verdict is what happens when you give it a chain of command."
Agents Don't Deploy to Prod
Verdict doesn't let agents push directly to production. Ever.
Rollback is easy
git revert β no ad-hoc file overwrites
Compliance is built-in
Every change has PR history
Code review survives
Agents assist, humans approve
Multi-team coordination
Standard Git workflows still work
"Agents don't deploy to prod. GitOps does."
From Your Desk. From Your Phone. From Anywhere.
Verdict doesn't lock you to your desktop.
| Interface | Best For | Key Features |
|---|---|---|
| Verdict IDE | Deep work, full projects | Desktop experience, full PAS integration |
| Web HMI | Quick tasks, shared machines | Browser access, real-time monitoring |
| Mobile Apps | On-the-go governance | Approve diffs, monitor runs, pause agents |
Mobile companion: Governance in your pocket
Approve PRs from the train
Review diffs from your couch
Monitor runs during meetings
Pause runaway agents from anywhere
Get alerts when Tron detects anomalies
Check budgets without opening a laptop
"Approve a deployment from your commute. Debug an alert from lunch. Governance that travels with you."
Self-Hosted or Cloud: Your Choice
For regulated industries, data residency requirements, or teams who just want control.
Why self-hosting matters
Finance
Requirement: No code leaves VPC
Verdict Solution: Fully on-prem deployment
Healthcare
Requirement: HIPAA compliance
Verdict Solution: Self-hosted + audit logs
Defense
Requirement: Air-gapped networks
Verdict Solution: Local models only
Sovereign cloud
Requirement: Data residency
Verdict Solution: Deploy in your region
"With local models, nothing leaves your machine. With cloud models, you choose the provider. With Verdict, you're never locked in."
What You Can Demo in 90 Seconds
The Plan β Working Version Run
Input
"Implement OAuth 2.0 authentication with refresh tokens"What you see
- β Architect expands job card into task graph
- β Director-Code allocates tasks to managers
- β Manager-Code-Auth coordinates implementation
- β Programmer agents write code, run tests, generate docs
- β Tests run, linters pass, coverage computed
- β PR created with full diff and explanation
- β Human reviews and approves
Scorecard (simple, objective)
| Time to working version | 12m 34s |
| Human interruptions | 1 (approval) |
| Total cost | $3.40 / $15.00 budget |
| Test pass rate | 47/47 tests passing |
| Lint status | 0 warnings, 0 errors |
| Lines changed | +342, -89 |
| Files touched | 12 files |
| Traceability | Full audit trail |
| Feature | Cursor | Windsurf | Antigravity | VS Code + Copilot | Verdict |
|---|---|---|---|---|---|
| Agent model | Single assistant | Single assistant | Autonomous agents | Copilot agents | 5-tier PAS hierarchy |
| Planning system | Prompt-driven | Prompt + structure | Opaque plans | Prompt-driven | Blueprint with estimates |
| Governance | Basic org controls | Compliance-oriented | Weak | GitHub policy | Runs + Tron + GitOps |
| Observability | Some telemetry | Better enterprise logs | Minimal | GitHub telemetry | Full black box recorder |
| Mobile access | β | β | β | β | β iOS + Android |
| Self-hosted option | β | β | β | β | β On-prem or cloud |
| Audit trail | Logs | Better logs | Minimal | GitHub telemetry | Full run receipts |
| Budget controls | Usage graphs | Usage tiers | None | Usage-based | Budget Governor |
| GitOps integration | Manual | Manual | Manual | Manual | Built-in PR flows |
| Protected branches | Via org | Via org | β | Via GitHub | Enforced in IDE |
| Local model support | β | β | β | β | β Ollama, LM Studio |
| Multi-model routing | β | β | β | β | β 50+ providers |
| Blueprint estimation | β | β | β | β | β Cost, time, tokens |
| Anomaly detection | β | β | β | β | β Power Law Engine |
| Risk profile | Medium | Medium | High | Medium | Low(er) |
vs Cursor: "Cursor is fast. Verdict is fast and accountable."
vs Windsurf: "Windsurf is a great assistant. Verdict is a governed delivery system."
vs Antigravity: "Antigravity is what happens when you give an AI root. Verdict is what happens when you give it a chain of command."
vs VS Code + Copilot: "VS Code with Copilot is powerful but DIY. Verdict is curated, governed, and works out of the box."
We're not the fastest. We're the one you won't regret deploying.
Plan Once. Iteratively Deliver.
A working version β not endless tinkering.