+ Problem → system → evidence → Imagent roadmap
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+ IMAGENT
+ Team brief
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+ IMAGENT
+ Team brief
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+ Qwen-Image-Agent · arXiv:2606.26907
+ 19 min · 21 frames
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+ 01
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+ Chapter one · The problem
+ Why Image Agent
+User intent without complete generation context
+The context gapDirect vs agenticThe paradigm shift
+ From prompt following to context construction
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+ Models render Users imply
+Incomplete requests · implicit intent · missing knowledge
+Context Gap — distance from user context to sufficient generation context+
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+ smallUser context
+ ≠Generation context
+ agentBuilds the bridge
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+ Sparse intent → grounded generation context
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+ 02
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+ Chapter two · The system
+ How it works
+Missing context → right source → deliberate rendering → traceable evidence
+Paper architectureFour capabilitiesImagent runtimeFeedback loop
+ Plan · ground · generate · inspect
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+ Plan ground Generate refine
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+ 01 Planning02 Grounding↺ Feedback
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+ User context → planning → grounding → generation → feedback
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+ Four routes One context gap
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+ 01PlanHigh-level intent → concrete visual structure
+ 02ReasonHidden answer before rendering
+ 03SearchExact · current · identity-specific context
+ 04MemoryPreferences · history · visual consistency
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PlanReason
+ Search
+ Memory
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+ PlanReasonSearchMemory
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+ Generate Inspect Refine
+VLM judge → explicit checks → correction context
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+ 01 · Candidate→02 · VLM checklist→03 · Refined output
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+ Visual failure → correction context
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+ Chapter three · The evidence
+ Proof of gain
+Benchmark coverage · strict evaluation · comparable scores · inspectable artifacts
+IA-BenchPaper resultsReal outputImagent benchmark
+ From impressive output to repeatable evidence
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+ Same prompt Stronger brand fit
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+ Shared prompt
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+ One request
+++tryimagent.com
+Website owner
+Wonderful UI contributor
+UI Design King card
+GitHub avatar attached
+Follow the website theme
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Agent liftBrand context · visual hierarchy · deliberate composition
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+ Direct modelBaseline
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+ 1Wrong website avatar2Wrong domain3Wrong color theme4Wrong date
+ VS
+ Image AgentBrand aligned
+ Blue cyan identityClear asymmetric hierarchy
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+ Imagent-bench visual evaluation taxonomy
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+ Fixed model Measured agent
+Five quality dimensions · cost · latency · artifacts · traces
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- Quality 01 +
- Aesthetics 02 +
- Alignment 03 +
- Real-world fidelity 04 +
- Creative generation 05 +
Two separate benchmarks
IA-Bench · paper capability benchmark
+ IA-Bench · paper capability benchmark
imagent-bench · project evaluation toolkit
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+ Chapter four · The roadmap
+ Next direction
+Promising research agent → dependable creative infrastructure
+Professional use casesProject anatomyTwo milestonesOpen challenges
+ Quality first · multi-agent scale second
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+ Visual idea → production-ready assets
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+ One intelligent visual workflow · many professional outcomes
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+ Incomplete brief → grounded and reviewable visual production
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+ DesignersExplore with control
+ Content creatorsBuild complete stories
+ AdvertisersGround campaigns
+ Product teamsScale production
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+ Moodboards · brand directions · product concepts · layouts · consistent iterations
Thumbnails · social sequences · editorial visuals · content packages
Audience concepts · factual creative · variants · quality checks
Launch imagery · commerce assets · catalogs · localization · repeatable workflows
brief→context→variants→critique→assets
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+ Small inspectable research system
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+ One deliberate variable
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+ One deliberate variable
Agent strategy
+ Stable model call · runtime · benchmark cases · report format
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+ Open source
+ Traceable
+ Gittensor-powered
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+ Variable
+ Contract
+ Evidence
+ Surface
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+ agent/Strategy
Context · prompts · reasoning · critique · regeneration
imagent_runtime/Execution
Trajectory · provider call · image · machine-readable trace
imagent-bench/Evaluation
Cases · scores · policies · canonical reports
imagent-ui/Experience
Playground · transparent reports · leaderboard · research story
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+ Quality first Scale second
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+ Milestone 01Now · Improve
+ Build the ultimate image-generation agent
+Working foundation · target not reached
Next focus · quality · accuracy · real-world grounding
real-world datafactual accuracyvisual qualityfeedback loops
+ Milestone 02Next · Scale
+ Build a multi-agent visual system
+Specialized subagents · delegated work · parallel coherent output
+research agentart directorparallel generatorsvisual critic
+ North starGittensor-powered creative system
Designers · creators · advertisers · product teams
+ Designers · creators · advertisers · product teams
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+ Specialize the work · parallelize the output · preserve one creative direction
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+ Beyond renderer Agent bottlenecks
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+ 01
+ Unidentified context gapsMissed gap → no recovery from a stronger renderer
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+ Reason or searchModel knowledge for reasoning · exact dynamic facts for search
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+ Too many visual referencesIrrelevant retrieval → bias · brittle multi-reference editing
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+ Context explosionLong multimodal history → drift · cost · collapse
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+ Relevant context only
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