Stop Hoping Your AI Automation Works
LLMs are powerful but unpredictable. Vibeflo brings determinism, repeatability, and control to your AI workflows—so you can run the same automation 100 times and get consistent results.
The Problem with Raw LLMs
AI is incredible—until it isn't. Here's what goes wrong:
Non-Deterministic Output
Same prompt, different results. You can't reliably automate anything when the output changes every time.
Long Tasks Fail Silently
Complex workflows crash mid-execution. By the time you notice, you've lost context and have to start over.
No Repeatability
Ran a great workflow yesterday? Good luck recreating it. There's no way to save, version, or share it.
Manual Orchestration
Need to run the same task on 10 items? Copy-paste prompts manually. Forget about parallel execution.
The Vibeflo Solution
A workflow engine that makes LLMs predictable and controllable.
Deterministic Execution
Break workflows into discrete steps. Each step runs to completion before the next begins. No skipped steps, no surprises.
True Repeatability
Save flows as reusable templates. Run them 1,000 times with different inputs. Share them with your team.
One-Click Orchestration
"Run code review on these 10 PRs." Vibeflo spawns 10 parallel sessions. No scripting required.
Built-in Checks & Balances
Add validation steps, human approval gates, and conditional logic. Catch errors before they cascade.
Real-World Use Cases
See how teams use Vibeflo to automate complex workflows.
🔍 Batch Code Reviews
Review multiple merge requests in parallel. Each review follows the same checklist, catches the same categories of issues, and produces a consistent report format.
orchestrate "Run code review on:"
- github.com/team/app/pull/142
- github.com/team/app/pull/143
- github.com/team/api/pull/89
🏗️ Multi-Step Builds
Chain together complex build processes: analyze codebase, generate plan, implement, test, fix errors, deploy. Each step has validation before proceeding.
1. prompt "Analyze requirements..."
2. prompt "Generate implementation plan"
3. query "Is plan approved?" → review
4. prompt "Implement the feature"
5. cli "npm test"
📊 Research & Analysis
Run the same analysis workflow across multiple data sources. Compare results side-by-side. Export to consistent formats every time.
- Redis caching strategies
- PostgreSQL optimization
- MongoDB sharding
# Each runs the same research flow
How It Works
Four steps to deterministic AI workflows.
Define Steps
Build flows from prompts, CLI commands, queries, and nested flows.
Add Controls
Insert validation, approval gates, and error handling between steps.
Run or Orchestrate
Execute once or spawn many parallel runs with different inputs.
Track Results
Monitor execution, review artifacts, and iterate on your flows.
Everything You Need
A complete toolkit for AI workflow automation.
Custom Prompt Tools
Define reusable tools and rules that inject into every session. Teach the AI your conventions once.
Context Preservation
AI maintains full conversation context across all steps in a session.
One-Click Orchestration
Natural language batch spawning. "Run X on these 10 items."
Nested Flows
Reference flows within flows. Build modular, reusable automations.
MCP Tool Integration
Connect external tools via Model Context Protocol servers.
Multiple Providers
Cursor, OpenAI, Anthropic, Ollama. Use the best model for each task.
Project Imports
Share flows between projects. Build a team-wide automation library.
Artifact Tracking
Auto-detect files created or modified. Never lose work.
CLI Runner
Run flows from the command line. Integrate with CI/CD pipelines.
Simple, Honest Pricing
One plan. Everything included. No usage limits.
Pro
- ✓ Unlimited flows & steps
- ✓ Unlimited parallel runs
- ✓ All LLM providers
- ✓ MCP tool integration
- ✓ CLI runner
- ✓ Project imports & sharing
- ✓ Priority support
- ✓ 14-day free trial
No credit card required. Full access for 14 days.
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