MTK Radar AI
From a verified offer to a published video on four platforms — automated, with a human in control.
MTK Radar AI watches a registry of trusted sources, keeps immutable evidence snapshots of official pages, and only lets verified offers become videos. It writes the script, records the real claim flow, renders 16:9 and 9:16 cuts with captions, measures every render for quality, then schedules platform-specific posts. One automation policy decides which stages run on their own: Manual, Assisted (the default) or Autopilot inside server-side guardrails, with a kill switch and dry-run.
Private codebase — a live walkthrough of the code and pipeline is available on request.
Offer pipeline
Assisted$300 cloud credits for students
Official terms · snapshot 2h ago · hash 9f3a…c21
Confidence
0.94
Render QC
Passed
Expires
18 days
9
Automated pipeline stages
4
Platforms published to
3
Automation modes + kill switch
Key capabilities
Trusted source radar
RSS, GitHub releases, official-page watch and trend signals (Hacker News, Reddit, Hugging Face papers, Google Trends) ranked by trust tier.
Evidence-first verification
Immutable snapshots with URL, timestamp, publisher and content hash. Only provider-owned evidence can mark an offer verified.
Script & storyboard studio
Versioned claim scripts, command cards, shot lists and platform copy — English by default, Urdu voiceover opt-in.
Real capture, measured renders
Human-operated browser capture with redaction review, FFmpeg renders and automatic QC for black frames, freezes, silence, loudness and caption safe areas.
Scheduled multi-platform publishing
Official YouTube, Meta, Instagram and TikTok APIs, per-platform packages, publish windows, retries with backoff and a circuit breaker.
Automation control & audit
Manual, Assisted or Autopilot per stage, guardrails enforced by the API, daily caps, dry-run, a global pause switch and a full audit trail.
Automation flow
From an official page to a published video — automatically, with a human in control.
Nine stages, one automation policy. Switch modes to see what runs on its own, then click any stage for the details.
Default. Machines collect, verify, script and render; a named reviewer approves and schedules every post.
6 of 9 stages automatic
- Candidate→
- Evidence needed→
- Verified→
- Approved for video→
- Published→
- Expired / Corrected
Stage 1 of 9
Discover
- What the automation does
- Polls the source registry — RSS/Atom, GitHub releases, official-page watch — plus trend signals from Hacker News, Reddit, Hugging Face papers, star velocity and Google Trends. Deduplicates by canonical URL.
- Human control
- Choose source categories, regions and trust tiers. Save any page with the Chrome extension.
- Guarantee
- Social posts only create leads (Tier B); coupon sites and leaked codes are excluded (Tier C).
Guardrails, enforced by the API
Workers read the policy on every sweep and the server re-checks it on every gated write, so a stale or forged worker cannot skip a human stage.
- 72 h
- Maximum age of official evidence for unattended verification
- 3 / day
- Cap on unattended approvals (the API answers 429 past it)
- Private
- Default privacy for posts queued by autopilot
- YouTube
- Platforms autopilot may queue, until you allow more
- 3×
- Upload retries with exponential backoff from 5 minutes
- Render first
- No unattended approval without a reviewed render of the current script
Cannot be switched off
- Verified status needs official, domain-checked evidence and a complete extraction.
- Redaction review of capture footage is always a human attestation.
- A render can publish only when its script hash matches the approved hash.
- Every unattended action is audited as automation:<stage>.
- Expiry, material changes and corrections auto-pause queued posts.
Publishes to
Built for
- Tech content creators
- Developer-relations teams
- Media agencies
- Education channels
Platforms
Technology
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