GITNUXSOFTWARE ADVICE
Business FinanceTop 10 Best Generation Software of 2026
Ranking roundup of top generation software tools with criteria and tradeoffs for writers and marketers, including Writesonic, Jasper, and ElevenLabs.
How we ranked these tools
Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.
Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.
AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.
Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.
Score: Features 40% · Ease 30% · Value 30%
Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy
Writesonic is the best fit for marketing teams that want fast, reusable drafts across multiple content formats, whereas ElevenLabs is the better choice when you need API-based, repeatable voiceover generation for apps or content pipelines.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Writesonic
Workflow-driven prompt templates that keep landing page, ad, and blog generation consistent across a single campaign brief.
Built for fits when marketing teams need fast draft cycles across multiple formats with template reuse..
ElevenLabs
Editor pickCustom voice creation for consistent voice identity across automated text to speech requests.
Built for fits when teams need API based, repeatable voiceover generation for apps or content pipelines..
Jasper
Editor pickBrand Voice configuration that persists tone and style across generations for marketing-focused deliverables.
Built for fits when marketing teams need repeatable brand-controlled drafts with automation via API..
Related reading
Comparison Table
Generation software turns prompts into production-ready text, visuals, and audio, but teams still need hard evidence on controllability, grounding, and workflow fit. This ranked list targets analysts and operators who compare integration depth, automation options, and governance features like RBAC and audit logs across major platforms, using consistent evaluation rubrics rather than marketing claims.
Writesonic
SMBGenerates articles, landing pages, ad copy, and chatbot responses for online businesses.
Workflow-driven prompt templates that keep landing page, ad, and blog generation consistent across a single campaign brief.
Writesonic’s core workflow centers on text generation for marketing deliverables, with separate modes for long-form drafts and short-form assets like ads and emails. Reusable prompt templates and document-style editor steps speed iteration across campaigns. Image generation supports creative concepting that can stay coordinated with the same brief used for copy.
A key tradeoff is limited control over model behavior compared with developer-first text generation tooling that exposes fine-grained generation parameters and evaluation hooks. Writesonic fits teams that need consistent marketing drafts quickly and can work within template-driven prompt patterns.
- +Prompt templates cover common marketing formats like ads and landing pages
- +Project-style iteration reduces time spent re-specifying the same brief
- +Integrated image generation supports coordinated creative concepts
- +Revision workflows make it easier to converge on usable drafts
- –Fine-grained generation controls are narrower than developer-focused APIs
- –Advanced governance features for teams can lag behind enterprise writing stacks
- –Long-context accuracy depends heavily on prompt structuring
Marketing operations teams
Create campaign assets from one brief
Campaign drafts ready same day
Content marketing teams
Turn outlines into blog drafts
Publishable first drafts
Show 1 more scenario
Growth marketers
Iterate ad variations quickly
More testable creatives
Produces multiple ad angles and copy lengths in rapid cycles for A/B experimentation drafts.
Best for: Fits when marketing teams need fast draft cycles across multiple formats with template reuse.
More related reading
ElevenLabs
API-firstGenerates speech, voiceovers, sound effects, and multilingual audio through web tools and APIs.
Custom voice creation for consistent voice identity across automated text to speech requests.
ElevenLabs delivers audio generation for assistants, narration, and voiceover content using a text input that produces speech audio suitable for immediate playback or editing. Custom voice workflows let organizations build reusable voice identities for consistent output across campaigns and localized variants. The API surface enables end to end automation where application code requests generated audio and stores it as an artifact for later publishing.
A practical tradeoff is that achieving consistent voice style requires careful voice selection and prompt and parameter tuning rather than a single switch. ElevenLabs fits best when teams need automated voice generation tied to their existing content pipeline and expect to call the API repeatedly for versioning and localization.
- +API driven speech generation supports application and pipeline automation
- +Custom voice workflows enable reusable voice identities
- +Output audio formats are designed for direct downstream use
- +Iteration loops are fast when producing many narration variants
- –Voice consistency needs parameter and text tuning
- –Latency can affect real time assistant scenarios
- –Quality control requires workflow discipline and reviews
- –Guardrails coverage varies by project settings
Product teams building voice features
Generate narration inside an app
Automated audio replies
Video and podcast production teams
Batch voiceover creation for episodes
Faster episode turnaround
Show 2 more scenarios
Localization teams
Produce multilingual voiceover variants
Consistent localized delivery
Text versions are generated into separate audio files for region specific releases.
Customer support operations
Voice messages from templates
Lower operational workload
Support systems generate spoken updates from structured message templates on demand.
Best for: Fits when teams need API based, repeatable voiceover generation for apps or content pipelines.
Jasper
enterpriseGenerates marketing copy, campaign assets, and brand-aligned content for business teams.
Brand Voice configuration that persists tone and style across generations for marketing-focused deliverables.
Jasper’s core workflow revolves around structured prompts and template-driven outputs for common marketing deliverables like blog drafts, social posts, and product positioning copy. Brand Voice configuration helps keep tone consistent across sessions, and the editor supports iterative refinement through follow-up generations. The product also supports API-based generation so external apps can request content creation and post-process results for publishing workflows.
A key tradeoff is that Jasper’s strengths concentrate on marketing copy, while it offers less native coverage for developer-oriented code generation tasks compared with tools built for programming workflows. Teams that rely on highly domain-specific reasoning often need stronger prompt design and tighter input constraints to reduce irrelevant claims. Jasper fits best when a team needs repeatable content formats with brand controls and programmatic automation for recurring production.
- +Template-driven marketing outputs reduce prompt rewriting per deliverable
- +Brand Voice settings maintain tone across multi-session drafting
- +API access enables content generation inside existing editorial workflows
- +Team workspaces support practical role separation for content creation
- –Marketing-first design fits less well for technical code generation
- –Long-form factual claims still depend on strong inputs and review
- –Advanced customization can require more prompt engineering discipline
- –Workflow flexibility is narrower than code-first generation systems
Growth and content marketing teams
Produce campaign copy from reusable templates
Faster campaign publishing cycles
Editorial operations teams
Automate first drafts for approvals
Lower manual drafting load
Show 2 more scenarios
Brand managers
Maintain tone across multiple writers
More consistent brand voice
Brand Voice settings standardize tone and wording preferences across contributors and outputs.
Agency content producers
Replicate client messaging formats
Less time spent reformatting
Template reuse helps agencies scale deliverable formats across clients and campaigns.
Best for: Fits when marketing teams need repeatable brand-controlled drafts with automation via API.
ChatGPT
general-purposeGenerates text, images, code, data analyses, and structured documents from natural-language prompts.
Custom GPTs allow reusable, app-scoped instruction bundles plus tool hookups for consistent, team-specific behaviors.
ChatGPT is a conversational large language model used for text generation, code generation, and multimodal prompting through uploaded inputs. It produces responses with adjustable creativity via generation settings and can follow multi-step instructions for tasks like drafting, summarization, and structured extraction.
A strong differentiation is the tooling around custom GPTs and the Assistants-style workflow for building app-specific chat and instruction stacks. For teams that need automation, ChatGPT also offers API access for programmatic prompting and streaming outputs.
- +Conversational prompting supports follow-ups, revisions, and constraint-driven outputs
- +Custom GPTs package reusable instructions and tools for repeatable workflows
- +API supports programmatic prompting with streaming responses for interactive UX
- +Multimodal input handling supports text-plus-image workflows
- –Long-running agent style workflows require careful orchestration and tool design
- –Governance controls like RBAC and audit log depth are limited versus enterprise platforms
- –Factual accuracy can degrade on niche or poorly specified queries without retrieval
- –Token and context limits cap what can be processed in a single request
Best for: Fits when teams need fast text and coding generation with reusable instructions and optional API automation.
Canva
SMBGenerates designs, presentations, images, copy, and social media assets inside a visual editor.
Brand Kit and reusable design components enforce consistent styling across every new template instance without manual reformatting.
Canva generates production-ready marketing visuals by turning templates into editable layouts with text, images, charts, and brand styling. It supports multimodal workflows through image search, upload-to-design placement, and video and animation elements inside the same canvas.
Teams can automate repeatable design work with reusable components, brand kits, and template-based publishing outputs. Canva also includes generation-oriented features like background removal and assisted copy that plug into the design editor rather than running as a separate model interface.
- +Template-driven editing reduces time for repeat visual deliverables
- +Brand kit settings keep typography, colors, and logos consistent
- +Batch exporting supports high-volume campaign asset production
- +Collaboration tools keep feedback and revisions in one workspace
- –Generation features are editor-bound and lack model controls
- –Limited programmatic access for custom generation workflows
- –Workflow automation is mostly template and rule based
- –Design files do not provide a structured schema for downstream apps
Best for: Fits when teams need fast, consistent marketing visual output with light automation inside a shared editor.
Claude
general-purposeGenerates and revises text, documents, code, and structured outputs through conversational prompts.
Multimodal grounding lets Claude generate answers that reference both images and provided text in one workflow.
Claude is a generation system centered on a conversational interface for text and code workflows that require long-form reasoning and iterative refinement. It supports multimodal input so users can generate outputs grounded in provided images and documents, not just prompts.
For teams that need integration depth, Claude exposes API access for programmatic inference and supports prompt chaining patterns for repeatable generation. Claude also provides safety controls and content filtering features aimed at reducing disallowed outputs during generation tasks.
- +Multimodal inputs support generation grounded in images and documents
- +API inference enables programmatic text and code generation workflows
- +Strong conversational iteration reduces re-prompting during drafting
- +Safety filtering reduces exposure to disallowed output categories
- –Generative control is limited compared to model-tuning workflows
- –Automation depends on API integration patterns rather than built-in pipelines
- –Output format control can require more prompt engineering than expected
- –Throughput and rate limits can constrain high-volume batch generation
Best for: Fits when teams need conversational generation plus API access for repeatable code and document drafting.
Midjourney
vertical specialistGenerates stylized images from text prompts with control over composition and visual direction.
Prompt-driven image generation with style-forward results that remain consistent across iterative variants.
Midjourney produces stylized images from natural-language prompts, with outputs that differ from diffusion-first workflows many teams use for controllable photorealism. The core workflow centers on prompt submission, parameter tuning, and iterative refinement through returned generations and variants.
Midjourney can be used for rapid concepting and art direction across consistent visual styles, with team output organized around prompt history and user workspaces. Automation and integration are mainly indirect through its public-facing interface rather than through an enterprise API surface designed for programmatic inference.
- +Fast iteration from prompt to multiple candidate images
- +Strong stylistic consistency with prompt-driven art direction
- +Parameter controls like aspect ratio and style weights are easy to apply
- +Large community vocabulary of effective prompts and workflows
- –Limited official API support for automated image generation pipelines
- –Fine-grained control of composition and grounding is harder than in model-tooling stacks
- –Deterministic reproducibility across runs is difficult to guarantee
- –Governance features like RBAC and audit logs are not built into core workflows
Best for: Fits when teams need quick, style-driven image concepting with minimal engineering overhead.
Copy.ai
SMBGenerates marketing copy, sales content, and workflow outputs for go-to-market teams.
Project-based prompt and asset reuse for consistent multi-output campaigns across writers.
Copy.ai turns marketing and support prompts into draft copy through a library of templates and reusable workflows. The differentiator is its focus on guided generation for common business outputs like emails, landing pages, and ad variants rather than raw model access.
Users can iterate on tone, target audience, and formatting constraints inside the same generation loop. Teams also get collaboration features for building and reusing prompt assets across projects.
- +Template-driven writing for emails, ads, and web pages without manual prompt design
- +Prompt reuse via projects and shared assets for consistent brand voice
- +Fast iteration loop with regeneration and editing focused on output quality
- +Automation-ready workflows that standardize multi-variant content production
- –Generative output quality can drift without careful prompt constraints
- –Limited control over low-level generation parameters compared with model-native tools
- –Template coverage may not map to niche vertical content needs
- –Scales best for assisted drafting rather than fully autonomous publishing
Best for: Fits when teams need repeatable draft generation for marketing and support outputs without building prompt pipelines.
Sudowrite
vertical specialistGenerates fiction passages, descriptions, outlines, and story revisions for authors.
Interactive narrative editing that supports character-aware, setting-consistent rewrites inside an author workflow rather than standalone text generation.
Sudowrite generates and rewrites fiction text with interactive writing tools built for scene drafting and iterative revision. It provides prompt workflows tailored to narrative tasks such as brainstorming story beats, expanding paragraphs, and transforming tone or viewpoint while keeping surrounding context.
The tool also includes author-oriented features like character and setting support to reduce repetition across drafts. Sudowrite is focused on text generation and revision workflows rather than multimodal generation or model hosting.
- +Narrative-focused rewrite controls that keep changes local and readable
- +Character and setting support that helps maintain consistency across scenes
- +Fast iteration loops for paragraph expansion and variant generation
- +Drafting assistance that works with conversational prompt refinement
- –Text-only workflow limits mixed media pipelines like image or video generation
- –Less direct control over sampling parameters than developer-first LLM tools
- –Automation and API surface are limited for headless batch generation
- –Collaboration and governance controls like audit logs are not explicit for teams
Best for: Fits when authors need interactive scene drafting and iterative rewriting without building custom prompts.
Anyword
vertical specialistGenerates marketing copy and evaluates message performance across digital channels.
Performance evaluation tied to marketing copy variants, which helps select outputs for campaigns instead of generating text only.
Anyword targets marketing teams that need controlled text generation for campaigns, ads, and landing pages rather than open-ended chatbot drafting. It centers on generation workflows that pair copy variations with built-in evaluation signals and audience targeting inputs.
The product also supports automation via an API and templated creative workflows so teams can run repeatable generation at higher throughput. Governance is handled through workspace configuration and role-based access patterns aimed at letting marketing, operations, and analysts share assets safely.
- +Built-in performance-oriented evaluation for ad and campaign copy variants
- +API support enables automated generation tied to external systems
- +Reusable creative workflows reduce repeated prompt work across campaigns
- +Workspace asset controls support shared use between marketing and ops
- –Best results depend on consistent input formats and campaign context
- –Multimodal generation coverage is limited compared with text-first tools
- –Advanced governance features can require careful internal process discipline
- –Long-form outcomes need stronger human review for factual nuance
Best for: Fits when marketing teams run repeatable ad and landing page copy cycles with automation and evaluation signals.
Conclusion
After evaluating 10 business finance, Writesonic stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right generation software
This buyer’s guide covers nine generation tools across text, code, images, audio, and marketing workflows. The guide focuses on Writesonic, ElevenLabs, Jasper, ChatGPT, Canva, Claude, Midjourney, Copy.ai, Sudowrite, and Anyword.
It explains what each category of generator is optimized for, then maps those strengths to concrete evaluation criteria like repeatable workflows, API automation, creative consistency, and governance readiness. Selection guidance then compares different generation philosophies using tool-specific tradeoffs like template depth, multimodal grounding, and evaluation signals.
Generation software for repeatable AI output across writing, media, and pipelines
Generation software turns prompts and structured inputs into outputs such as marketing copy, code, documents, speech audio, or design assets. It also supports repeatable production patterns using templates, projects, and workflows so teams stop rewriting the same instructions.
Typical users include marketing and content teams, creative editors, and engineering teams building automated content or audio pipelines. Writesonic shows how workflow-driven prompt templates can standardize landing pages, ads, and blog drafts within one campaign brief, while ElevenLabs shows how API-driven speech generation can return audio assets ready for downstream use.
Evaluation criteria for generation tools across workflows, automation, and consistency
Generation tools differ most in how they standardize inputs and reduce rework across iterations. Tool choice should match the output type and the production loop, such as campaign drafting in Jasper or audio generation in ElevenLabs.
The criteria below emphasize workflow repeatability, integration and automation, output consistency mechanisms, multimodal grounding, and how teams can control risk through safety filters or governance depth. Each feature is tied to concrete behaviors seen in specific tools like Anyword, ChatGPT, Canva, Claude, and Midjourney.
Campaign-scoped workflow and template reuse
Workflow-driven prompt templates reduce repeated prompt crafting and keep multiple deliverables aligned. Writesonic keeps landing page, ad, and blog generation consistent across one campaign brief, and Copy.ai uses project-based prompt and asset reuse to standardize multi-output campaigns across writers.
Programmatic automation and API-first inference paths
API access matters when generation is embedded into apps, editorial review tooling, or content pipelines. ElevenLabs is built around API calls that return ready-to-use audio assets, Jasper exposes API access for programmatic content generation, and ChatGPT adds API support with streaming outputs for interactive UX.
Output identity persistence for consistent brand or voice
Tools that persist identity settings reduce drift between drafts and variant runs. Jasper’s Brand Voice configuration persists tone and style across marketing generations, and ElevenLabs custom voice creation enables consistent voice identity across automated text-to-speech requests.
Multimodal grounding in a single generation workflow
Multimodal grounding helps outputs reference provided images and documents instead of treating them as plain text. Claude supports multimodal grounding by generating answers that reference both images and provided text, while ChatGPT also supports multimodal input for text-plus-image workflows.
Evaluation signals attached to generated variants
Built-in evaluation changes generation from drafting-only to selection and iteration based on performance signals. Anyword pairs copy variations with performance-oriented evaluation signals aimed at ad and campaign outcomes, which supports choosing outputs for campaigns instead of generating text only.
Editor-bound generation versus headless creative control
Some tools generate inside a design editor with minimal model-level controls, while others are oriented toward prompt submission and iterative generation loops. Canva’s generation features are editor-bound and provide limited programmatic access for custom generation workflows, while Midjourney centers on prompt submission with parameter tuning and iterative refinement but offers limited official API support.
A decision framework for matching generation workflows to output type and integration needs
Tool selection should start with the production loop. Marketing teams that need repeatable deliverables often choose Jasper, Writesonic, or Anyword for template-driven work and controlled variant generation.
Engineering and app teams typically prioritize API automation and deterministic integration patterns. Audio teams often select ElevenLabs for repeatable voice outputs, while teams needing image concepting with minimal engineering overhead often select Midjourney.
Match the tool to the output type and the required production loop
Choose Jasper or Writesonic for marketing copy and multi-format drafting workflows that rely on reusable templates and structured iteration. Choose Anyword when the workflow requires evaluation signals tied to ad and landing page copy variants, because its generation centers on selecting outputs for campaigns.
Select the integration shape based on where automation must run
If generation must run inside applications or downstream pipelines, prioritize tools with API-driven inference like ElevenLabs for speech and Jasper or ChatGPT for programmatic text generation. If the work must stay inside a shared creative environment, Canva supports template-based editing and collaboration where generation is bound to the design editor.
Use identity persistence when consistency across variants is the main risk
For repeated marketing output across sessions, configure Jasper Brand Voice so tone and style persist across generations. For repeated audio generation, use ElevenLabs custom voice creation so voice identity stays consistent across automated text to speech requests.
Decide between multimodal grounded generation and prompt-driven generation
If the workflow requires generation to reference provided images and documents inside one step, choose Claude for multimodal grounding or ChatGPT for multimodal prompting tied to uploaded inputs. If the workflow prioritizes style-forward image concepting with prompt-driven iteration, choose Midjourney for rapid concepting with simple parameter controls.
Choose governance and control tradeoffs based on team scale and safety needs
When safety controls and content filtering are needed, Claude includes safety filtering aimed at reducing disallowed output categories during generation tasks. When fine-grained generation control and enterprise-grade governance are required for team operations, avoid assuming parity across tools because ChatGPT governance controls like RBAC and audit log depth are limited versus enterprise platforms.
Which teams benefit most from generation software choices
Generation software fits teams that run repeatable drafting, produce variants at volume, or need generated media embedded into tools. The best tool depends on whether the primary bottleneck is ideation speed, consistency, integration, or variant selection.
The segments below map directly to each tool’s best-fit use case and the production mechanics those tools emphasize.
Marketing teams running multi-format drafting cycles
Writesonic and Jasper are built for template-driven marketing outputs where campaign assets span ads, landing pages, and drafts. Writesonic excels at workflow-driven prompt templates that keep deliverables consistent across a single campaign brief, while Jasper adds Brand Voice configuration that persists tone and style across sessions.
Teams building automated voiceover or narration pipelines
ElevenLabs is designed around API-driven speech generation that returns ready-to-use audio assets for downstream pipelines. It also supports custom voice creation so automated narration keeps a consistent voice identity.
Go-to-market teams that must select winners from ad and landing page variants
Anyword is built to pair generated copy variants with built-in performance-oriented evaluation signals. That evaluation focus supports choosing outputs for campaigns instead of treating generation as drafting only.
Creative editors and brand teams producing visual assets inside a shared workspace
Canva fits teams that need fast, consistent marketing visuals with collaboration in one place. It enforces consistency using Brand Kit and reusable design components across template instances without manual reformatting.
Writers and authors iterating scenes with character and setting continuity
Sudowrite fits authors who want interactive scene drafting and iterative rewriting within a narrative workflow. It includes character and setting support to reduce repetition across drafts and keeps changes local and readable.
Concrete pitfalls that cause generation workflows to fail
The most common failures come from choosing a tool whose workflow assumptions do not match the required output loop or integration need. These mistakes show up as prompt drift, inconsistent identity, missing automation paths, or production systems that cannot enforce repeatability.
Each pitfall below maps to specific tool constraints seen in the available feature sets and stated limitations.
Expecting developer-grade generation controls from editor- and template-first tools
Canva’s generation features are editor-bound and provide limited model controls and limited programmatic access for custom generation workflows. Midjourney also offers limited official API support for automated image generation pipelines, so both tools can require workflow workarounds for engineering-heavy automation.
Assuming identical output style across variants without identity persistence
Without persisted identity settings, generation quality can drift across iterations. Jasper addresses this with Brand Voice configuration, while ElevenLabs addresses it with custom voice creation for consistent voice identity in automated text to speech requests.
Running long, vague tasks without providing structured inputs for accuracy
ChatGPT’s factual accuracy can degrade on niche or poorly specified queries without retrieval, and long-context accuracy depends heavily on prompt structuring in Writesonic. Claude supports multimodal grounding to reference provided images and documents, which helps for tasks that depend on concrete context.
Building a pipeline around evaluation signals when the tool is drafting-only
Anyword ties performance evaluation to marketing copy variants, which supports selecting outputs for ad and campaign use. Tools like Copy.ai focus on assisted drafting and workflow standardization but do not center on performance evaluation signals attached to variants.
Trying to use a tool designed for text-only workflows in mixed-media pipelines
Sudowrite is text-only and limits mixed media pipelines that include image or video generation. If mixed media workflows are required, Canva is editor-native for design assets, while Claude and ChatGPT handle multimodal input for grounded text generation.
How We Selected and Ranked These Tools
We evaluated Writesonic, ElevenLabs, Jasper, ChatGPT, Canva, Claude, Midjourney, Copy.ai, Sudowrite, and Anyword using criteria-based scoring across features, ease of use, and value, with features carrying the most weight and ease of use and value contributing equally. Each tool’s score was determined from the provided capability statements such as workflow template reuse in Writesonic, API-first speech generation in ElevenLabs, Brand Voice persistence in Jasper, and performance evaluation signals in Anyword.
Writesonic separated from the lower-ranked tools because workflow-driven prompt templates keep landing page, ad, and blog generation consistent across a single campaign brief. That repeatable workflow structure lifted it on features most directly, and it also improved ease of use for teams that repeatedly draft similar campaign assets.
Frequently Asked Questions About generation software
How do Writersonic and Copy.ai keep prompt outputs consistent across multiple campaign formats?
Which tool is better for code generation workflows that need an instruction stack and app-specific behavior?
How does ChatGPT handle multi-step generation tasks compared with Claude for document-grounded outputs?
How can teams integrate generation into applications using API inference and automated pipelines?
When should voice generation be handled by ElevenLabs instead of a text-only generator like ChatGPT?
What breaks if a workflow requires custom voice identity across many automated text-to-speech requests?
How do Jasper and Copy.ai differ in admin controls and workspace governance for teams?
Which tool provides the most direct support for controllable image generation during iterative refinement?
What security controls should teams expect around generation when using Claude versus Midjourney?
How should data migration or existing asset reuse be approached when switching from manual workflows to Anyword or Writersonic?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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