Find existing images for the request in front of you. Inspect Brand Context, asset details, and reasons for fit before choosing. Check literal requirements as well as brand relevance.
Describe an image or the work. Explore existing library assets, then inspect the details and available reasons. Brand context adds relevance without replacing product, color or exclusion requirements.
Illustrative example · authored requests and results, not a live search. AI-generated sample assets.
Keep in view: ivory bottle · outdoors · black cap · no studio shots
A seated person and foreground essentials suggest a break outdoors; the earthy colors fit the supplied brand direction.
Brand + work: A seated person and foreground essentials suggest a break outdoors; the earthy colors fit the supplied brand direction.
Check: AI-edited framing; not a verified product photograph. Check product details before use.
The person, winding trail and natural light support an everyday outdoor story.
Brand + work: The person, winding trail and natural light support an everyday outdoor story.
Check: The bottle is less prominent. Inspect product detail and the final crop.
A close view of the bottle beside a stream gives the outdoor pause a product focus.
Brand + work: A close view of the bottle beside a stream gives the outdoor pause a product focus.
Check: Check the actual product and version before use. The hand and bottle dominate the frame.
Brand context adds relevance. Fieldwork’s supplied direction: natural light, earthy colors, everyday outdoors. It helps assess fit; it does not override the requested product, color or exclusions.
Example requests are fixed. In the product, image descriptions use Library search; social post ideas use Post Intelligence. These are separate workflows.
Six capabilities for exploring assets and inspecting brand fit.
Keep each brand’s assets and Brand Context separate within your account. Select the relevant brand before comparing candidates for the work.
Inspect color, visual tone, subject matter, and brand-fit evidence without reducing the creative call to a single unexplained score.
Approved is necessary but not sufficient. Daryl compares the asset with the message, tone, audience, and platform of the work in front of the team.
Find assets by brand feeling, not only file metadata. 'Aspirational and warm with outdoor context' can surface relevant candidates even if no one used those exact tags.
Inspect the visual content, mood and brand-fit evidence on individual assets. Compare that evidence with the current direction, including what the image cannot establish.
Analysis adds visual descriptions to processed assets. Keep product identifiers, versions, usage information and other important metadata available for review.
What Daryl does in the situations that actually matter.
Manage each brand’s library and Brand Context within one account. Select the relevant brand before comparing assets for its next piece of work.
Describe the image needed in Library search, or use Post Intelligence for a social post or idea. Inspect candidate assets against the active Brand Context and your literal requirements.
Daryl's brand analysis surfaces the visual patterns in your existing asset library — dominant colors, typical moods, recurring subjects. Useful baseline for understanding what you're moving from.
Semantic discovery and work-based recommendations bring relevant, less obvious assets back into consideration without hiding the full library.
Governance defines what can be used. Daryl adds context at the selection moment so the team can decide what best fits the work.
Check source details, version, permission and approval information before use. A recommendation does not certify them.
A remembered shot, an image description or a marketing task. Keep explicit constraints intact.
Work-to-asset matching, Brand Context, ordered recommendations, and visible reasoning.
Daryl applies Brand Context at the moment someone has to choose an asset for real work.
Explore DarylMulti-brand workspaces · Visible Brand Analysis · Reasoned recommendations