Triggers
Start workflows from the events your team already owns.
WebhooksSchedulesFormsSupport tickets
AI workflow delivery and operations
Build production AI workflows without rebuilding the infrastructure.
Frugine helps AI agencies and enterprise teams design, deploy, monitor and bill AI workflows from one platform.
Connect models, APIs, data sources and human approvals. Deploy AI agents with built-in logs, cost controls and audit trails.
For AI agencies, operations teams and enterprise builders.
Real product screenshot
Workspace dashboard
Live workspace
App catalog
24 available apps
Usage wallet
Shared credits visible
Product evidence
Real workspace screenshots, not abstract diagrams.
These screenshots come from the current Frugine dashboard. They show the app catalog, category filters, shared credit wallet and mobile workspace surface.
Workspace dashboard
A signed-in Frugine workspace with app search, categories, tags and shared credits visible.
Mobile workspace
The same product surface keeps the app catalog and primary controls usable on mobile.
Product
Four modules, one production path.
Frugine is not a generic AI concept page. The product surface is organized around the work needed to ship and operate AI workflows.
Build
Design AI workflows visually
Connect triggers, models, APIs, databases and human approvals in one workflow.
One shared workflow replaces ad hoc scripts and manual handoffs.
Deploy
Move from prototype to production
Run workflows on schedules, webhooks or manual triggers with credential management.
Teams can operate pilots without rebuilding queue, retry and release infrastructure.
Monitor
See exactly what every agent did
Inspect every step, prompt, output, error, latency and model cost.
Failures are visible at the step level instead of hidden inside a black box.
Control
Set budgets, permissions and approval rules
Prevent unexpected spend and keep sensitive actions behind human review.
High-risk actions can pause for approval before touching customer systems.
Example workflow
Customer refund approval, from request to audit trail.
This is the kind of workflow Frugine should explain first: a complete AI operation with a real business boundary, not a list of abstract AI capabilities.
1
New refund request arrives from CRM.
2
AI reads customer history and policy.
3
Refund over $500 pauses for human approval.
4
Every prompt, output, decision and cost is logged.
5
Approved response is sent back to CRM and Slack.
Integrations
Connect the systems around the workflow.
Frugine should be evaluated by the workflow it can operate end to end: trigger, AI step, data lookup, human review, output and run controls.
Native connector coverage should be confirmed during pilot scoping. The public site lists integration surfaces, not a final connector marketplace.
Models
Route AI steps through the model and graph layer that fits the job.
Airaptor graphsGeminiOpenAI-backed stepsModel cost logs
Data
Bring operational context into the run without copying work by hand.
SupabaseDatabasesDocumentsCRM records
Human review
Keep risky actions behind an approval point before systems are updated.
Approval queuesReviewer notesPolicy checksEscalations
Work tools
Send the result back where the team already works.
EmailSlackHelpdeskAlerts
Operations
Track every run with the controls needed for production support.
CreditsLogsLatencyErrors
Templates
Start from one workflow, not a blank platform.
Browse starter workflows before creating a workspace. Each template shows the trigger, AI step, approval point and operating result.
Customer support triage
Classify incoming requests, draft a response and escalate risky cases.
Preview workflow
AI agency delivery
Package a repeatable client workflow with logs, cost controls and handoff notes.
Preview workflow
Internal document review
Summarize source material, extract decisions and request approval before sharing.
Preview workflow
Pilot scorecard
Know whether the workflow is ready for production.
A Frugine pilot should end with operating evidence: what ran, what it cost, where humans reviewed it and what needs to change before rollout.
Delivery evidence
A working workflow, not a slide deck.
Control evidence
Approval gates for sensitive actions.
Operating evidence
Logs, latency, errors and credit usage visible.
Business evidence
A clear decision to scale, revise or stop.
1
Scope the pilot
Pick one workflow with a clear trigger, one AI decision, one approval point and one system of record.
Workflow owner namedInput data identifiedApproval rule agreed
2
Run real cases
Operate the workflow with realistic requests, visible run logs, credit usage and reviewer decisions.
Runs visible in logsCost per run reviewedExceptions captured
3
Decide production fit
Use the pilot evidence to decide whether to scale, refine the workflow or keep it manual.
Handoff path clearRisk controls acceptedNext rollout defined
Pricing
Platform plans plus usage credits.
Free workspaces and credit packs are available now. Production plans are positioned as sales-led until subscription, team and enterprise contracts are fully productized.
Free
$0
Create a workspace and run your first AI workflow with test credits.
- Free workspace
- Signup test credits
- Access to starter templates
- Shared Frugine credit wallet
Builder
Talk to sales
For agencies and builders moving repeated AI workflows into production.
- More production workflows
- Usage logs and run history
- Email support
- Usage credits billed separately
Team
Custom
For teams that need shared operations, approval paths and cost controls.
- Multi-user workspace planning
- Approval and permission design
- Longer log retention options
- Shared connector setup
Enterprise
Custom
For regulated deployments that require implementation support and procurement review.
- Implementation support
- Audit and security review
- Dedicated environment discussion
- SLA and contract planning
Current credit examples
These examples come from the active credits consumption rules, not placeholder pricing copy.
Text generation
5 credits
per request
Image understanding
10 credits
per image
Text to image
50 credits
per image
Multi-image generation
80 credits
per image
First/last frame video
300 credits
per video
OriginRender render
200 credits
per render
Usage credit packs
Add prepaid credits for current Frugine and OriginRender capabilities.
Starter Pack · 1,000 credits
$1 / 1,000 credits
One-time purchase, processed via Stripe Checkout (USD)
1,000 credits
Best for pilots, prototypes, or topping up a small workspace.
- 1,000 credits deposited instantly after payment
- Great for internal evaluation or lightweight automation
- Works with any major credit or debit card
Secure payment · Stripe Checkout
Credits arrive automatically; track history in Credits
Scale Pack · 10,000 credits
$10 / 10,000 credits
One-time purchase, processed via Stripe Checkout (USD)
10,000 credits
Ideal for production workloads and continuous operations.
- 10,000 credits delivered immediately after purchase
- Lower effective credit cost for sustained usage
- Priority email support for billing questions
Secure payment · Stripe Checkout
Credits arrive automatically; track history in Credits
Product family
OriginRender is a Frugine-powered rendering product.
It uses the same Frugine account and shared credit wallet. The main navigation now presents it as part of the product family instead of a separate unexplained primary entry.
Trust
Clearer proof, fewer vague badges.
Frugine separates current controls from sales-led review items and roadmap claims.
Review security postureAvailable now
Account-based access, shared credit ledger, visible usage controls and protected product routes.
Sales-led review
Retention, deletion, dedicated environments and procurement questions should be scoped before rollout.
Roadmap
SOC 2 readiness, SSO, advanced RBAC and public DPA are not claimed as completed self-serve capabilities.
Build your first AI workflow.
Start with a free workspace, then add credits when the workflow is ready to run.