Image & Video Generation & Editing
Generate, assemble and verify visual media through references, controlled edits and review loops
AI image and video work spans concept exploration, reference selection, controlled generation, conventional or agent-operated editing, review and repair. Visual references can carry a scene's look, a mascot's identity or a believable UGC starting frame, while explicit constraints preserve what must not change. Generated performances need a test take and continuity checks before batching, and product claims should use real interface footage rather than an invented screen. Production readiness still requires human taste, full-output review and a boundary between reusable workflow rules and choices unique to one asset.
Start here
- AI Video Visual Reference Workflow — Start when a still should carry a generated scene's look.
- Producing Believable AI UGC from Reference Takes — Turn a creator reference into one verified generated performance before batching.
- Iterative Agent-Assisted Video Editing — Build, watch and correct an agent-operated timeline.
- Designing a Scalable Brand Mascot with AI — Explore and lock a character that must survive new poses.
Pages
Generating and controlling visual assets
- AI Video Visual Reference Workflow — LOOPY; carry lighting, framing, color and subject placement through a still
- Producing Believable AI UGC from Reference Takes — Jake Castillo; select a real frame, test continuity and finish with real product footage
- Designing a Scalable Brand Mascot with AI — Alex and César Álvarez; define the character, explore broadly, lock its identity and test expressions or poses
Editing and verification
- Iterative Agent-Assisted Video Editing — Future Brian; rough cut, full watch, one timestamped correction and reusable approved rules
Tools
- FilmGrab — Film still archive for scene references
- Seedance 2.5 — ByteDance video model using references for generated b-roll
- HeyGen — AI avatar intro in front of a screen recording
- IP as Logo — Agent Skill for constrained mascot-logo generation
- Photo Abstract Editorial — Codex Skill preserving a source photo while abstracting its composition
- AutoClip — Local AI highlight and compilation tool for existing footage
- CartCut — Free open-source macOS timeline editor with motion controls and extensions
- Diffusion Studio — Agent-oriented code-backed desktop editor
- Revid.ai — Complete-video generation with less timeline-level control
- XPade Watermark Remover — Browser-based removal for named AI-video watermarks or selected regions
Gaps
- Independent time, defect and export comparisons for agent-assisted timeline editing
- Current MCP compatibility, permission scope and recovery behavior across desktop editors
- Video-generation comparisons across reference input, completeness, control, length and cost
- Controlled comparisons of AI-generated and creator-shot UGC on trust, conversion, defect rate and production cost
- Copyright, licensing and disclosure rules for generated, reference-derived and sourced assets