Post queue with a veto
Agents post your queued content from your real accounts, in your real apps, at a natural, human pace. Every post stops for your approval before it goes out.
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.
Audiences expect daily posts and constant engagement across TikTok, Instagram, and YouTube Shorts.
You have content, not 12 spare hours a day.
Agencies multiply that across dozens of client accounts.
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.
Agents post your queued content from your real accounts, in your real apps, at a natural, human pace. Every post stops for your approval before it goes out.
Comments and DMs get drafted in your voice and queued for review. Nothing ships in your name that you did not sign off.
Agencies run one agent per client account in parallel, each scoped to its own apps, each with its own approval queue.
New accounts warm up on a slow, steady schedule you control, with every action visible and every write gated.
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.
Drives the apps: posts, replies, and DMs, one verified action at a time.
Plans the queue and keeps the posting cadence natural and consistent.
Drafts posts and replies in your voice, ready for your approval.
Runs account schedules, parallel client queues, and warm-up plans.
Keeps every account on-brand across platforms and clients.
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.
Works TikTok, Instagram, and X from your real device. Posting and commenting are approval-gated by the platform.
Covers X where the API route is open: search, mentions, posting.
LinkedIn feed, posts, and messages for professional accounts.
Generates and checks visuals before they enter the queue.
Research plus the approval gate on every outbound write.
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.
includeContextPer-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.
rag_retrieveA 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.
pipeline_memoryPipeline-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.
No. Every post and comment stops for your approval before it goes out. Approve from your desk or from the overlay on the phone.
Yes. One agent per client account, each scoped to its own apps, each with its own approval queue, all running in parallel.
Yes. Melaya's Device Control operates a real Android phone: the Social Media Engineer opens TikTok or Instagram, reads the screen, taps and types, and pauses for on-device approval before publishing. The phone bundle covers TikTok, Instagram, and X, so no official posting API is required.
Zapier, n8n, and Make execute predefined trigger-action steps and depend on each platform's API. Melaya, the visual AI agent builder, runs autonomous multi-agent workflows: agents plan across steps, work TikTok and Instagram from a real phone, and pause for human-in-the-loop approval on every write. Zapier and Make still win on connector breadth for simple linear automations.
Melaya records full run traces: every screen read, tap, draft, and outcome is logged per step, and every published post maps to an approval a human granted. Agencies review traces per client account, and deterministic-first evaluation runs rule-based checks on drafts before any model-graded scoring.
Yes. Save any run as a reusable template on Melaya's canvas of agents, tools, triggers, and approval gates. The Content Strategist plans the cadence once, then the Growth Engineer clones the pipeline per client, each copy scoped to its own apps and holding its own approval queue.
The Copywriter drafts posts and replies grounded in your past content and brand guidelines through Melaya's RAG memory, and the Brand Architect keeps every account on-brand across platforms and clients. Each draft still waits in your approval queue, so you edit tone before anything ships in your name.
Melaya reduces that risk by behaving like a person: the Social Media Engineer opens the real app on a real phone, posts at a natural pace, and the Growth Engineer runs warm-up schedules you control for new accounts. No tool can guarantee platform decisions, so keep cadence conservative and approve every post.
You choose per step. Melaya routes each step across 49 providers, cloud or local: a strong model can plan the queue while a cheaper one drafts replies, and sensitive steps can run on your local runner. Per-step model routing keeps cost per accepted result low, and full run traces show what each step spent.
Drop the Social growth crew onto Melaya's visual canvas: the Content Strategist plans the queue, the Copywriter drafts posts, the Social Media Engineer works TikTok, Instagram, and X from your phone, and the Growth Engineer sets the schedule. Attach the phone, social, media, and core bundles, then approve the first posts from your queue.
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