Results for “ma”

Maps where a movement leader's content and relationships live, producing a fragmentation report from existing research files.

Formalizes narrative technical documents into structured mathematical problem specifications with variables, constraints, objectives, and uncertainty, citing evidence and flagging missing information.

Browser-automates Google's NotebookLM to read notebooks, add sources, generate Studio outputs (Audio/Video Overviews, Mind Maps, Reports), and create new notebooks.

Create a comprehensive company research brief with executive quotes, product strategy, and organizational context for competitive analysis, partnership evaluation, interview preparation, or market entry decisions.

Look up and read Hugging Face paper pages in markdown, and use the papers API for structured metadata such as authors, linked models/datasets/spaces, Github repo and project page.

Adopts the perspective of Naval Ravikant to answer questions using his mental models, decision heuristics, and core concepts like leverage, specific knowledge, and desire management.

Routes a research topic through a structured two-phase workflow: generate an extensible outline, then fan out parallel web-search agents to investigate each item into validated JSON, producing a complete markdown report with table of contents.

Prepare meeting materials by pulling context from Notion, tailoring agendas and pre-reads, and enriching with research.

Prepare meeting materials by gathering context from Notion, drafting agendas and pre-reads, and enriching with Codex research.

Merges multiple research, analysis, or brainstorming inputs into a single coherent synthesis with key insights and a recommended action.

Analyze user feedback data to identify segments with sentiment scores, JTBD, and product satisfaction insights.

Generates and refactors content optimized for AI Overviews, ChatGPT, and Gemini with a structure that is easy to cite and summarize.

Analyzes documents and produces a Word document with inline highlighted screenshots from the source material, enabling visual verification of every factual claim.

Generates a strategic NIH funding overview as an editable .docx file, including research positioning analysis, institute mapping, targeted grant discovery, and strategic recommendations for clinical researchers.

Runs evidence-first research workflows by combining search, synthesis, and recommendation skills for current facts, comparisons, or enrichment.

Conduct systematic literature reviews by searching multiple academic databases, synthesizing findings, and generating professionally formatted documents with verified citations.

Automatically detect and analyze scientific data files across 200+ formats, generating detailed markdown reports with quality metrics and analysis recommendations.

Collaborates on writing projects by researching topics, structuring outlines, improving hooks, providing section-by-section feedback, and managing citations while preserving the writer's voice.

Chat with your agent about projects, recommendations, and canonical papers in Paperzilla. Fetch feeds, read papers, leave feedback, and export data using the pz CLI.

Transforms chaotic notes, voice dumps, and meeting transcripts into a structured, interlinked knowledge base inside Obsidian by extracting entities, generating wikilinks, and surfacing forgotten context.

Orchestrates end-to-end autonomous AI research projects using a two-loop architecture for rapid experimentation and synthesis, producing papers and presentations.

Write academic papers with a 12-agent pipeline supporting full drafting, revision, citation checks, and LaTeX/DOCX output across multiple disciplines and paper types.

Conducts exhaustive multi-source research on a topic, tagging each claim with source class and confidence, and includes a mandatory adversarial counterpoint and open-questions list.

Orchestrates evidence-based research across local PDFs, scholarly search, citation-context tools, web sources, and code repositories to produce traceable syntheses with counterevidence audits.

Applies cognitive science frameworks for creative thinking to CS and AI research ideation, using combinatorial creativity, analogical reasoning, constraint manipulation, and other empirically grounded strategies.

Coleta a linguagem literal do público em avaliações, fóruns, redes sociais, tickets de suporte e transcrições de vendas para gerar um banco de frases verbatim que orienta a escrita de copy.

Verifies that every number, comparison, and scope claim in a research paper matches raw result files, using a fresh cross-model reviewer with no prior context to prevent confirmation bias.

Run structured What-If scenario analysis with 4-6 branch possibility exploration (best, likely, worst, wild card, contrarian, second-order). Use for speculative questions about uncertain futures, strategic forks, contingency planning, or stress-testing decisions.

Verifies claims, articles, screenshots, and URLs through source-grounded analysis with an evidence ledger, source credibility evaluation, and manipulation detection. Supports quick checks, full fact-check cards, two-source comparisons, and prebunking in multiple languages and policy contexts.