# Film emulation grade in DaVinci Resolve

When to use it: You want digital footage to feel like film (soft highlights, rich color separation, subtle grain) and you want the agent to build the node tree, not bake a filter.

Works with: [DaVinci Resolve MCP Server (samuelgursky)](https://agentcut.dev/tools/davinci-resolve-mcp-server-samuelgursky/), [DaVinci Resolve MCP (440+ tools)](https://agentcut.dev/tools/davinci-resolve-mcp-440-tools/), [Resolve Claude MCP](https://agentcut.dev/tools/resolve-claude-mcp/), [Wasserman's Unofficial DaVinci MCP](https://agentcut.dev/tools/wasserman-s-unofficial-davinci-mcp/)

Save as: film-emulation-grade.md

Download: https://agentcut.dev/prompts/md/style-film-emulation.md

~~~~markdown
On the timeline "[TIMELINE]" (a duplicate), build a film emulation look on a single clip first: "[CLIP NAME]". Footage is [camera and log format, for example Sony S-Log3 / S-Gamut3.Cine].

Node tree, each node labeled:
1. "INPUT CST": Color Space Transform from [camera color space and gamma] to DaVinci Wide Gamut / DaVinci Intermediate.
2. "BALANCE": neutral white balance and exposure. Do not push contrast here.
3. "CONTRAST": gentle S curve, lift the blacks very slightly so pure black never happens (film rarely sits at true zero).
4. "SEPARATION": warm the skin and highlights slightly, cool the shadows slightly. Subtle, max a few points.
5. "SAT": reduce saturation in the very brightest highlights (highlight rolloff), keep mid tone saturation.
6. "HALATION" (Studio only, or skip on Free): a faint reddish glow around bright edges.
7. "GRAIN" (Studio only, or skip on Free): fine 35 mm grain, low strength.
8. "OUTPUT CST": DaVinci Wide Gamut to Rec.709 Gamma 2.4 with tone mapping.

Rules: keep each node subtle, I will push it myself. Tell me which nodes need Studio. Save the result as a still and a PowerGrade named "AgentCut Film Base" and do not apply it to other clips until I say so.
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Original AgentCut prompt.

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AgentCut: https://agentcut.dev/ · All tools as JSON: https://agentcut.dev/tools.json · Overview for agents: https://agentcut.dev/llms.txt
