Intelligent Moment Rejection
Kreatr rejects 70%+ of weak video moments so you never spam your audience with low-value clips.
One finished video in. An autonomous multi-platform workflow out. Kreatr observes, extracts the hooks worth keeping, rejects the fluff, and only asks for your approval.
2,400+ creators stopped doing the second job
Source Video: SaaS Growth.mp4
14 candidates · 3 kept
Pricing Psychology
So going back to what I mentioned earlier about the agency...
Reason: Requires 45s of context, weak opening.
Sound familiar?
Creators finish recording, but the real grind begins. Kreatr turns hours of manual post-production into an autonomous background workflow that only interrupts you when a decision genuinely needs a human.
142 min
Manual workflow
32 min
With Kreatr
Not another generic prompt generator. An agent that exercises genuine editorial judgment about what deserves to exist.
Kreatr rejects 70%+ of weak video moments so you never spam your audience with low-value clips.
Generates bespoke YouTube Shorts titles, viral X posts, and newsletter frameworks from your best moments.
Safe execution. Kreatr prepares the action plan and only asks your approval before publishing publicly.
Remembers your audience persona, tone of voice, preferred formats, and previously high-performing topics.
Inspects post-publication analytics and autonomously recommends your next high-converting video topic.
Multi-step tool calling, dynamic recovery loops, and verified AWS Bedrock agent execution.
The autonomous loop
5 steps. Zero manual grunt work. Complete control over what actually gets published.
FFmpeg & Whisper
Audio extraction, timestamped transcription and topic segmentation the moment your file lands.
get_transcript()Scoring hook & value
Every candidate is scored on hook strength, standalone context and relevance. Most get thrown away.
score_moment()Shorts, X, Metadata
Survivors become platform-native copy, never one caption pasted across five networks.
generate_asset_plan()Creator gatekeeper
Anything public stops here and waits for you. Everything reversible ships on its own.
schedule_asset()Analytics feedback
Published performance flows back into Creator Memory and shapes the next recommendation.
analyze_performance()Every step is a real Strands tool call
Head to head
Measured in the demo build
Numbers from a controlled demo run on a 20-minute source video, not a market estimate.
110min
Saved per video
Measured on one seeded 20-minute upload, start to scheduled queue.
78%
Fewer decisions to make
Candidate moments
Deep-analysed
Selected & produced
11 manual decisions avoided on a single upload.
2.3x
Above the channel baseline
94,800 views against a 41,200 baseline, then fed straight back into Creator Memory.
It threw away five clips I would have posted. All five would have flopped.
The first tool that argues back about what is worth publishing.
Architecture
Kreatr runs as a single Strands orchestrator with typed tools, a persistent creator memory, and a verification step after every consequential action.
Kreatr Web UI
Next.js 15 · upload, review, approve
Strands Orchestrator
Main agent · multi-step reasoning loop
Tools + Creator Memory
10 typed tools · persistent creator profile
Actions
Schedule & publish via platform connectors
Verification
Confirm state · retry on failure
Analytics → Learning
Performance rewrites the next ranking
AWS Bedrock
Model access
DynamoDB
Creator memory
Kreatr evaluates every candidate segment for hook strength (the first 8 seconds), standalone context, and relevance to your Creator Memory. If a segment fails these thresholds it is discarded with an explainable reason, so you can read exactly why any clip did not make the cut.
Paste a video URL or upload a file to experience autonomous post-production.
Demo environment · seeded creator profile · no channel connection required