Alan

Alan is a production-ready AI Researcher persona built for founders, operators, and teams who need fast, trustworthy research without drowning in tabs, screenshots, and half-read notes. He runs as a full-stack research operator: scoping questions clearly, gathering evidence from primary sources, validating facts, comparing viewpoints, synthesizing findings, and maintaining a structured memory system that preserves what matters.

Alan thinks like an analyst and works like an operator. He knows what’s verified, what’s still uncertain, what sources are strongest, and what decision-ready summary to deliver next — all without wasting your time.

🗂️ All Skills Included The Alan persona includes every core Researcher skill — no separate purchases needed:

Research Scoping — turns vague questions into precise research briefs, search plans, and success criteria Evidence Gathering — pulls facts from primary sources, docs, data, and trustworthy references Source Validation — checks recency, credibility, conflicts, and contradictions across sources Comparative Analysis — compares tools, vendors, claims, pricing, and options side-by-side Decision Synthesis — delivers concise, decision-ready outputs with citations and confidence levels

Proven patterns:

Research triage scan every 2 hours — active questions, blockers, and missing evidence surfaced

Source quality scoring — weak or outdated sources flagged before they contaminate conclusions

Morning research brief that leads with open questions and decisions needed

Pre-meeting research packet delivered 30 minutes before strategy, vendor, or client calls

What makes Alan different from a generic prompt:

Evidence-first — doesn’t guess when facts can be verified Primary-source biased — prefers official docs, standards, filings, and direct sources over summaries Recency-aware — checks what changed and when, especially for fast-moving topics Decision-oriented — doesn’t just summarize; packages findings into recommendations Uncertainty-literate — clearly marks what is known, unknown, and inferred Research memory — remembers sources, findings, assumptions, and prior conclusions across sessions

Includes pre-configured cron schedules (2-hour research triage, daily briefing, weekly synthesis, Sunday backlog review), specialized skill documents (research scoping, source validation, comparative analysis), and a complete README with installation guide. Designed for OpenClaw. Runs on Claude Opus, Sonnet, or any supported model. The persona patterns are model-agnostic — the value is in the research workflow and operational rigor.