I'm Zack, CEO at Averi. We just launched what we're calling The AI Marketing Workspace—a complete rebuild of how we think marketing teams should work with AI.
Most AI marketing tools solve for one narrow use case:
-AI copywriting tools that spit out generic content
-Strategy platforms that stop at recommendations
-Analytics dashboards that show what happened but don't help you act
Our Approach: Workspace > Tool
Instead of building another point solution, we built a workspace that enables complete marketing workflows: Plan → Create → Execute → Scale.
What that means:
Plan: AI-powered strategy and planning with your brand context built in. Activate expert strategists when needed.
Create: /create mode takes briefs to deployment-ready assets. Collaborate with specialists in real-time.
Execute: Deploy with full context preserved. Experts see your strategy, drafts, and brand.
Scale: Library captures what worked. Every project trains the AI and makes future work faster.
What We Built
/create Mode: Three-Phase Creation Engine
The execution system at the heart of the workspace.
Discuss Phase:
Brief the AI with contextual questions specific to each asset type
Draft Phase:
AI generates first draft using Synapse architecture (routing between AGM-2, GPT-5, Claude based on task)
One-click adjustments to length, vibe, or language
Full draft regeneration with preserved context
Edit Phase:
Standard text editor with AI power-ups
Highlight any text → regenerate with AI
Add AI-generated paragraphs, images, infographics between sections
Full collaborative editing
Output:
Save as .AVRI files (native format maintaining full editability and AI context)
Download in standard formats
Share with experts in the workspace for refinement
The Workspace Architecture
Brand Core: Central repository for mission, values, brand voice, ideal customers, goals. Trains the AI and provides persistent context across all interactions.
Library System:
System Folders: Marketing Plans, ICPs, Products, Saved AI Conversations
Custom Folders: Organize content however you want, train AI on specific contexts
.AVRI files open directly in edit phase for seamless collaboration
Expert Network Integration: Type /intro to request vetted marketing specialists. Review profiles, activate experts, collaborate in the workspace.
What Makes This Different
1. Complete workflow, not isolated tasks: Most tools solve for one phase (strategy OR creation OR execution). Averi enables the full flow with persistent context throughout.
2. Context-aware by design: The AI doesn't just respond to your prompt. It knows your brand, your active plans, your audience, your goals—and maintains that context.
3. Execution-first: We don't stop at suggestions or strategy. The workspace takes you from first thought to deployment-ready assets to measurable results.
4. AI + Human, built in: Expert collaboration isn't a separate marketplace—it's native to the workspace.
5. Compounding institutional memory: Library and .AVRI files create a feedback loop. Every successful project makes future work better.
Open Questions We're Exploring
1. Workspace vs. Tool Mental Model: How do you get users to think of this as "where they work" vs. "a tool they use for 10 minutes"? We've found the multi-tab interface helps, but curious about other approaches.
2. File Format Ecosystem: We're betting that .AVRI files (maintaining full AI context + edit history) become a standard for marketing collaboration.
3. Self-Serve Conversion: We just opened self-serve today. Historically we were demo-driven. Interested in what others have learned about freemium → paid.
4. Integration Strategy: We're building integrations to CMS, email platforms, social schedulers. Question: do users want to push directly from Averi, or prefer to download and upload themselves?
I'm Zack, CEO at Averi. We just launched what we're calling The AI Marketing Workspace—a complete rebuild of how we think marketing teams should work with AI.
Most AI marketing tools solve for one narrow use case:
-AI copywriting tools that spit out generic content -Strategy platforms that stop at recommendations -Analytics dashboards that show what happened but don't help you act
Our Approach: Workspace > Tool
Instead of building another point solution, we built a workspace that enables complete marketing workflows: Plan → Create → Execute → Scale.
What that means:
Plan: AI-powered strategy and planning with your brand context built in. Activate expert strategists when needed. Create: /create mode takes briefs to deployment-ready assets. Collaborate with specialists in real-time. Execute: Deploy with full context preserved. Experts see your strategy, drafts, and brand. Scale: Library captures what worked. Every project trains the AI and makes future work faster.
What We Built
/create Mode: Three-Phase Creation Engine The execution system at the heart of the workspace.
Discuss Phase: Brief the AI with contextual questions specific to each asset type
Draft Phase: AI generates first draft using Synapse architecture (routing between AGM-2, GPT-5, Claude based on task) One-click adjustments to length, vibe, or language Full draft regeneration with preserved context
Edit Phase: Standard text editor with AI power-ups Highlight any text → regenerate with AI Add AI-generated paragraphs, images, infographics between sections Full collaborative editing
Output: Save as .AVRI files (native format maintaining full editability and AI context) Download in standard formats Share with experts in the workspace for refinement
The Workspace Architecture
Brand Core: Central repository for mission, values, brand voice, ideal customers, goals. Trains the AI and provides persistent context across all interactions.
Library System:
System Folders: Marketing Plans, ICPs, Products, Saved AI Conversations Custom Folders: Organize content however you want, train AI on specific contexts .AVRI files open directly in edit phase for seamless collaboration Expert Network Integration: Type /intro to request vetted marketing specialists. Review profiles, activate experts, collaborate in the workspace.
What Makes This Different
1. Complete workflow, not isolated tasks: Most tools solve for one phase (strategy OR creation OR execution). Averi enables the full flow with persistent context throughout. 2. Context-aware by design: The AI doesn't just respond to your prompt. It knows your brand, your active plans, your audience, your goals—and maintains that context. 3. Execution-first: We don't stop at suggestions or strategy. The workspace takes you from first thought to deployment-ready assets to measurable results. 4. AI + Human, built in: Expert collaboration isn't a separate marketplace—it's native to the workspace. 5. Compounding institutional memory: Library and .AVRI files create a feedback loop. Every successful project makes future work better.
Open Questions We're Exploring
1. Workspace vs. Tool Mental Model: How do you get users to think of this as "where they work" vs. "a tool they use for 10 minutes"? We've found the multi-tab interface helps, but curious about other approaches. 2. File Format Ecosystem: We're betting that .AVRI files (maintaining full AI context + edit history) become a standard for marketing collaboration. 3. Self-Serve Conversion: We just opened self-serve today. Historically we were demo-driven. Interested in what others have learned about freemium → paid. 4. Integration Strategy: We're building integrations to CMS, email platforms, social schedulers. Question: do users want to push directly from Averi, or prefer to download and upload themselves?
Try It
Sign up: https://averi.ai
Thanks! Zack