Melaya Mobile · E-commerce

Automate ecommerce ops with AI agents:volume without burnout, speed with a veto.

Agents handle the repetitive layer: checking ad account status, pushing scheduled affiliate posts, running your mobile landing pages through real-device QA and tracking checks. On limited drops, an agent watches the app and executes your prepared checkout the moment stock lands. The purchase itself waits for your one-tap approval, so speed never means loss of control.

01
// What breaks today

Manual workflows cost more than the agent does.

Three pains every sales and BD team hits weekly. Each one is what your reps actually complain about, not what a feature page would call them.

  1. 01

    Check ad account status across Meta and TikTok by hand, every morning, every account.

  2. 02

    Miss a restock window because nobody was staring at the app when stock landed.

02
// Pipelines you can build

Agent workflows: compose, approve, replay.

Every pipeline below is a shape you wire on the canvas using the crew and tools further down. Not a feature we ship for you, a pattern you configure.

P01

Ad account status checks

GrowthEngineer and SocialMediaEngineer open the Meta and TikTok apps on a real device and read account status the way a person would, flagging anything that needs attention. Device Control drives the check; nothing that spends ad budget executes without a human in the loop.

P02

Scheduled affiliate posting

Copywriter drafts the post, ContentStrategist keeps the cadence organized across accounts, and SocialMediaEngineer publishes from the real app on the schedule you set. social/x_post covers the X side; core/pause_for_human holds every post for your review before it goes out.

P03

Drop-day checkout, gated

An agent watches the shop app and executes your prepared checkout the moment stock lands, chaining the tap sequence with Device Control's phone_batch. The purchase step itself waits for your one-tap approval, so speed on the watch never turns into an unsupervised buy.

P04

Shopify order, product, and inventory checks

Where the store runs on Shopify, GrowthEngineer reads live orders and products via shopify_tools' shopify_list_orders, shopify_get_order, and shopify_list_products, and pushes an inventory correction with shopify_update_inventory once you approve it. Real Admin API calls (2024-01), not scraped numbers.

P05

Real-device landing page QA

SocialMediaEngineer walks the mobile landing page on physical hardware, checking tracking and page load the way a buyer actually experiences it, and cross-checks the desktop side with scraping/scrape_structured.

03
// The multi-agent crew

E-commerce ops crew

Real personas from the marketing_team crew. Each ships with a tuned system prompt and a default tool allowlist. Swap models per persona on the canvas.

Growth Engineer

GrowthEngineer

Watches ad accounts and drops, and runs the prepared checkout to your approval gate.

Social Media Engineer

SocialMediaEngineer

Pushes scheduled posts and walks landing pages on real devices.

Copywriter

Copywriter

Drafts the affiliate posts and product copy that enter your approval queue.

Content Strategist

ContentStrategist

Keeps the posting and checking cadence organized across accounts.

04
// Scoped tools

Tool allowlists: only the actions you grant.

Every tool below is a real shared tool from the Melaya bundle. Allowlist per agent; HITL-gate the writes; revoke any of them in one click.

01shared/tools/phone/

Operates the shop, ads, and checkout apps on a real device, with approval before any purchase.

phone_open_appphone_get_screen_treephone_tapphone_input_textphone_screenshotphone_batch
02shared/tools/scraping/

Tracks product pages, prices, and stock signals on the web side.

scrape_pagescrape_structuredfetch_rss
03shared/tools/social/

Keeps affiliate posts flowing on X.

x_searchx_post
04shared/tools/core/

Research, status checks, and the one-tap approval gate.

web_searchhttp_requestpause_for_human
05
// Three knowledge layers

The crew reads what you give it.

Every pipeline ships with three layers of knowledge access. Mix and match per agent on the canvas. No shared vector space with another tenant, no surprise reads, no opaque retrieval.

L1

Static context

includeContext

Per-pipeline documents appended to specific agents' input on every run. The ICP brief, playbook, pricing sheet, or won-deal email corpus. Whatever needs to be there before the agent thinks. You pick which personas get which docs.

L2

RAG retrieval tool

rag_retrieve

A scoped tool granted per-agent. When the agent decides it needs more depth, it queries the workflow's vector store on demand. Same knowledge base as Static context, accessed only when the model asks for it.

L3

Cross-run memory

pipeline_memory

Pipeline-level state that carries from one run to the next. Yesterday's research is in scope for today's follow-up. The crew remembers what it already prospected, what got approved, what was sent. The audit log is the second-order knowledge base.

07
// FAQ

AI agent questions we get every week.

Will an agent complete a purchase without my say-so?

No. The purchase step itself waits for your one-tap approval; Device Control watches and prepares the checkout, you confirm it goes through.

Does this read real Shopify data or scrape the storefront?

Real data, through shopify_tools against the Shopify Admin REST API (2024-01), once SHOPIFY_SHOP_DOMAIN and SHOPIFY_ACCESS_TOKEN are set in Connectors.

Can one setup run ad checks across both Meta and TikTok?

Yes. GrowthEngineer and SocialMediaEngineer drive both apps on the same real device, one verified action at a time.

How many accounts can this scale to?

As many as you scope apps for. Each account gets the same routine, run on schedule, with its own approval queue.

Is landing-page QA run on an emulator?

No. It walks a real device through Device Control's phone tools, the way an actual buyer would tap through.

Build dropshippers, affiliates & drop buyers pipelines on Melaya.

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