Thoughts, stories, and ideas from the team at Tosea.ai.
Complete 2026 guide to building an investment committee (IC) memo deck — structure, slide-by-slide content, how partners actually read it, common mistakes, and a Tosea workflow.
300+ best biology and medical topics for students, research papers, theses, and classroom presentations — organized by category from cell biology and genetics to biotech and neuroscience.
100+ best economics topics for students, research, theses, and classroom presentations — organized by category, plus five methods working economists use to find original questions.
How AI slides actually get generated in 2026: the HTML approach vs the image-model approach, what each is good at, and how to pick the right one in Tosea.ai.
Complete 2026 guide to preparing a thesis defense presentation — structure, slide-by-slide content, Q&A tactics, a rehearsal plan, and a Tosea workflow for the dissertation-to-deck handoff.
Complete guide to Ruflo (formerly Claude Flow): the open-source multi-agent orchestration platform for Claude, with hive-mind swarms, SPARC, RAG, and federation.
Complete guide to DeepSeek-TUI: an open-source Rust terminal agent that puts DeepSeek V4's 1M-token context inside your workspace, with parallel reasoning and skills.
60+ ready-to-use AI prompts for PowerPoint presentations in 2026 — covering style, color, data visualization, document conversion, and industry-specific decks.
Free project status report templates from Smartsheet, ProjectManager, and StakeholderMap — plus a five-step writing tutorial covering audience, RAG, milestones, risks, and brevity.
A practical guide to Matt Pocock's mattpocock/skills repository — the .claude directory that makes Claude Code follow team conventions for PRDs, TDD, refactors, and git safety.
Ten expert-level prompts for turning PDFs, financial reports, and research papers into professional presentations — with model-selection guidance for GPT-5.5, DeepSeek V4, and MiMo-V2.5-Pro.
A practical guide to DeepSeek V4, the April 2026 release of the 1T-parameter MoE model with Engram memory, 1M context, and the lowest token pricing of any frontier-tier model.
