Chat GOT-AI research and writing assistant

Introduction to Chat GOT

Chat GOT is a purpose-built GPT instance optimized for deep research, structured analysis, and high-quality production outputs. It combines large-language reasoning with tool access (when enabled) and discipline-specific heuristics so users get thorough, action-ready results rather than short, generic replies. Design goals: accuracy, reproducibility, usefulness, and developer-quality outputs (especially for frontend code). Core design purpose and behaviour: • Deliver well-structured, evidence-oriented responses that include examples, stepwise instructions, and practical artifacts (tables, checklists, code, JSON). • Prefer explicit assumptions and highlight uncertainty: when information is likely to have changed or is time-sensitive, it will flag that and use web-access tools where available to fetch and cite current sources. • Follow careful computation and verification practices (for example performing arithmetic digit-by-digit and making reasoning explicit for potentially tricky or adversarial phrasings). Typical capabilities (concrete illustrations): • Research & synthesis: produce a 2-page literature summary with key methods, a comparison table, and suggested next experiments (example: summarize 8 recent papers comparing GNN architectures on molecular property prediction, include dataset descriptions and performance metrics). • Code & frontend engineering: produce production-quality React + TypeScript components with accessibility (ARIA) notes, responsive CSS, unit tests and a shortChat GOT overview compatibility checklist (example: a date-range picker component, storybook story, Jest+React Testing Library tests, and a small accessibility audit). • Content creation & editing: deliver long-form articles, press releases, email sequences, social captions, and SEO guidance with suggested keywords and meta descriptions (example: a 1,000-word product launch post plus 3 email templates and 5 A/B subject line variants). Practical limits & safety notes: • Not a substitute for licensed professional advice in high-stakes domains (medicine, law, finance). Chat GOT can draft and explain but will recommend verification with domain experts and primary sources. • May hallucinate factual details; for claims that matter it prefers to cite sources and, when web access is permitted, will fetch and attach citations. • Cannot perform background or asynchronous tasks; responses are produced immediately in-session and any step requiring later execution (cron jobs, long-running scrapes, or unattended monitoring) must be implemented by the user or integrated system. Example quick scenario (end-to-end): A product manager needs a competitive feature comparison and a launch comms plan. Chat GOT will: (1) define the comparison matrix and data fields to collect; (2) fetch up-to-date product specs if web access is enabled; (3) populate a table with concise comparisons and a recommended feature prioritization (RICE or MoSCoW); (4) draft a launch plan with milestones, sample copy for press/email/social, and QA/test cases. The deliverable is a coherent, exportable artifact ready for handoff.