AI market landscape and model comparison slides
AI Technology Evangelist
AI-Powered Technical Presentations with Source-Backed Context
Track model releases, product shifts, and infrastructure changes with evidence-grounded slides. The AI Technology Evangelist creates presentations backed by curated AI news sources and real-time market intelligence.
Capabilities
What the AI Technology Evangelist can do
Technology trend synthesis from curated sources
Product roadmap and architecture overview generation
Framework and tooling comparison presentations
Launch narrative and positioning decks
Technical briefing with evidence trails
Use Cases
Built for real workflows
AI Market Briefings
Generate executive briefings on AI model landscape, infrastructure shifts, and competitive dynamics.
Product Roadmaps
Create visual product roadmap presentations with milestones, dependencies, and strategic themes.
Architecture Overviews
Build technical architecture presentations explaining system design, data flows, and technology choices.
Tech Talks
Prepare conference-ready technical presentations with benchmarks, comparisons, and implementation insights.
Sample Output
AI Model Landscape — Q2 2026
8 slides generated from a single prompt
Model Landscape Overview
- 3 frontier labs: OpenAI, Anthropic, Google DeepMind
- Context windows: 128K–2M tokens
- Multimodal capabilities now standard
Training Infrastructure
- H100/H200 → Blackwell transition underway
- Training costs: $100M+ for frontier models
- Inference cost declining 10x/year
Key Trends
- Agent frameworks maturing (tool calling, MCP)
- On-device models reaching GPT-4 level
- Reasoning models dominating benchmarks
Strategic Implications
- Build for multi-provider flexibility
- Invest in evaluation infrastructure
- Prepare for sub-second latency inference
Try These Prompts
Start with a simple request
“Create an AI model landscape briefing comparing GPT-5, Claude 4.6, and Gemini 2.5”
“Build a product roadmap presentation for our ML platform Q3-Q4 2026”
“Generate a technical architecture overview of our microservices system”
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