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JieGou is now a managed AI operations company.

You're looking at a page from when we sold a platform. We pivoted to managed services — we run marketing, customer engagement, and back-office ops on your behalf, in 17 industries. The capability below is still real; it's now part of how we deliver, not what you operate.

They Sell Tools.
We Deliver Outcomes.

Agencies charge $5K/month for junior staff who handle 10 clients. AI tools require months of setup. JieGou manages your operations with AI — 24/7, across every channel, at a fraction of the cost.

The Problem

Every alternative shares one flaw

Static automations, developer frameworks, and ChatGPT copy-paste all have the same blind spot — they don't learn.

Static Automation

Zapier, Make, n8n

Runs the same automation every time. Great for moving data between apps, but can't reason about content, learn from corrections, or improve over time. The 100th run is identical to the first.

Developer Frameworks

LangChain, CrewAI, custom code

Agents execute the same code every run. You get flexibility, but the system never captures what worked, never self-optimizes, and requires engineering time for every improvement.

ChatGPT Copy-Paste

No memory, no accumulation

Every conversation starts from zero. No scheduling, no approval gates, no structured output, no quality tracking. What you learned yesterday is gone today.

Comparison

Where the gap really shows

JieGouManualZapier / MakeCustom Code
Learns from correctionsFeedback captured → future runs improveRemembered by the person (maybe)No learning — same automation every timeBuild your own feedback loop
Self-optimizes promptsAuto-refines prompts based on quality scoresManual trial and errorNo prompt optimizationBuild your own optimization pipeline
Captures knowledgeKnowledge flywheel: run → capture → embed → retrieveNotes in scattered docsNo knowledge accumulationBuild your own RAG pipeline
Surfaces insightsProactive alerts, pattern detection, improvement suggestionsMust notice patterns yourselfBasic run logs onlyBuild your own analytics layer
AI-powered outputNative LLM execution with structured I/OCopy-paste to ChatGPTLimited AI steps via third-partyBuild your own LLM integration
Multi-provider LLMClaude, GPT-5, Gemini — per stepOne model at a timeSingle provider per actionMust integrate each provider
Workflow branching & loopsConditions, loops, parallel, approval gatesSpreadsheets and checklistsPaths and filters (no loops)Full control, full maintenance
Human-in-the-loopBuilt-in approval gates with emailAlways manualRequires third-party approval toolCustom approval UI needed
Department packs9 curated packs, one-click installN/AGeneric templatesBuild everything from scratch
Setup timeMinutes — describe what you needN/AHours — configure each stepWeeks to months
Tool integrationOAuth + MCP protocolCopy-paste between toolsOAuth connectorsBuild each integration
Scheduling & triggersCron schedules + webhook triggersCalendar remindersSchedule and webhook triggersBuild your own scheduler
Knowledge & contextRAG retrieval from your documentsSearch through folders manuallyNo built-in document contextBuild your own RAG pipeline
Brand consistencyAccount-wide brand voice settingsStyle guides nobody readsNo brand voice capabilityBuild and maintain custom rules
Cost modelPlatform fee + your own API keysTime cost (hidden)Per-task pricing scales quicklyEngineering time + infrastructure
Real-time collaborationPresence, chat, screen sharing, co-browsingMeetings and emailsNo collaboration featuresBuild your own collaboration layer
A/B evaluationBuilt-in bakeoffs with LLM-as-judgeSubjective comparisonNo evaluation capabilityBuild custom evaluation pipeline
Browser automation60+ browser tools via MCP extensionManual clickingLimited browser actionsPuppeteer/Playwright scripts
Workflow orchestrationDAG execution with SubWorkflowStepRun workflows one by oneNo cross-workflow orchestrationBuild your own DAG engine
Prompt engineeringBuilt-in studio with versioning and optimizerTrial and error in a text editorNo prompt toolingBuild or buy a separate prompt IDE
Quality monitoringQuality Guard with LLM-as-judge on every runSpot-check outputs manuallyNo quality monitoringBuild custom evaluation pipeline
Batch executionRun recipes across data tables with exportProcess rows one at a timeLoop actions with per-task billingWrite batch processing scripts
Workflow version controlImmutable versions, diffs, canary rolloutsN/ABasic version historyGit-based versioning (requires engineering)

ROI Calculator

Estimate your savings

See how much time and money your team could save by automating repetitive tasks with JieGou.

Department
1 50
$20 $200

Estimated savings — Sales

Hours saved per month 156
Monthly savings $7,800
Annual savings $93,600
JieGou Pro cost -$588/yr
Net annual savings $93,012

Estimated ROI: 15818%

Based on 12h/week of automatable tasks per person at 60% automation rate. Actual results vary.

Customer Stories

Real teams, real results

See how companies are using JieGou to transform their workflows.

BrightPath Agency

32 hours saved per week on content distribution

Vantage Sales Co

48 hours saved per week on prospect research

Three Pillars

The foundation of everything JieGou does

Task-First Interface

Other platforms start with tools and integrations. JieGou starts with what you need to get done. Describe your goal in natural language — the platform picks the right models, tools, and approach.

Adaptive Execution

The system doesn't just execute — it adapts transparently. Intelligent error recovery, dynamic model selection, convergence self-tuning, and quality-driven convergence loops based on intermediate results. Every adaptation is logged and visible.

Compounding Knowledge

Every successful execution teaches JieGou something. Great outputs become knowledge. Prompts self-optimize. Quality scores improve. With Quality Guard enabled, the 100th run is measurably better than the first.

FAQ

Frequently asked questions

Ready to see the difference?

Start free, install a department pack, and run your first workflow today.