G8G8 FlowspaceProcess-to-AI execution layer
შესვლადაწყება
The G8 operating lifecycle

One system — from process description to managed AI execution.

G8 is not a collection of separate tools. It is a unified operational layer that takes a process through six managed stages — description, blueprint, contract, simulation, execution, and monitoring.

Start for free How it works
INTAKEBLUEPRINTCONTRACTSIMULATIONAPPROVALLIVE RUNGOVERNANCE GATES →Client Content ValidationClient Content ApprovalLogistics DispatcherLogistics DispatchOwner's Daily ReportDaily Owner SummaryOPERATIONS QUEUENeeds Attention7Awaiting Confirmation4Failed Runs2Activation Requests3AUTOMATION CONTRACTALLOWEDgenerate_captionsend_approval_requestcreate_reportBLOCKEDpublish_without_approvaldelete_assetsAPPROVAL REQUIREDpublic_postRiskmediumModeapproval_required
Intake → Blueprint → Contract → Simulate → Run → Monitor
1.0 — Process Intake

Describe the process as you would explain it to a colleague.

WhatsApp chat, email, spreadsheet, or plain text — G8 extracts participants, triggers, data, and tools and builds a structured process map.

  • Extracting actors, triggers, and data
  • Automatic tool recognition
  • Structure — not a chat response

PROCESS INTAKE

raw → structured
“The client adjusts product photos, I write captions, send them for approval, then publish and send a report on Friday.”
Extracted
actor: clientactor: managertrigger: new_photostool: drivetool: instagramdata: weekly_report
2.0 — Blueprint

Structured blueprint — steps, roles, risks.

The process map becomes a validated blueprint: steps, dependencies, required tools, and verification points — with your AI key.

  • Validated JSON Structure
  • Automation Candidates
  • Risk & Approval Points

BLUEPRINT

6 Steps
Client Photo Receivedtrigger
AI Caption — 3 Optionsai
Manager Approvalapproval
Schedule Posthttp
Report to Ownertelegram
3.0 — Automation Contract

What AI Can and Cannot Do. Pre-launch.

Every flow has a contract: allowed and blocked actions, data access, approval gates, and error policy — before anything goes live.

  • allowed / blocked actions
  • data access scope
  • approval gates + failure policy

AUTOMATION CONTRACT

Allowed 3
generate_captionschedule_postcreate_report
Blocked 2
publish_without_approvaldelete_assets
Approval Mandatory 1
public_post
Error Policy
on_tool_errorpause_and_notify
4.0 — Simulation Lab

Safe Simulation First, Live Run Later.

See flow in action before real effect: test input, AI output, approval stop, and risk warning.

  • dry-run timeline
  • Expected Output
  • Risk Flags Pre-launch

SIMULATION

dry run
✓
Receive Photo trigger
3 files from drive
sim
✓
AI Caption ai
3 Options Ready
sim
⏸
Approval approval
approval
—
5.0 — Execution

Real Execution — by schedule, webhook, approvals.

HTTP, Telegram, Email, Slack — steps actually execute. All runs are recorded with status, duration, retry, and full audit.

  • manual / schedule / webhook triggers
  • idempotency + retry policy
  • Full Run Trace

RUN TRACE

exec_9f2a · live
✓
Receive Photo trigger
12ms
✓
AI Caption ai
1480ms
⏸
Approval approval
approval
—
·
Telegram Report telegram
—
6.0 — Monitor

Ops Room — Where the System Needs Attention.

Live flows, failed runs, pending approvals, and operational delays — in one operational queue.

  • needs attention queue
  • failed runs + approvals
  • performance insights

OPERATIONS QUEUE

Needs Attention7
Awaiting Confirmation4
Failed Runs2
Activation Requests3

Turn a Process into a Managed AI Operation.

Describe one process — see blueprint, contract, and simulation built in minutes.

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