Research Workflows: Deep Research, Lit Reviews & Audits from One Command

Research Workflows: Deep Research, Lit Reviews & Audits from One Command

The 5-agent engine behind cited briefs, paper audits, replication and peer review.

Reading time 1 min read

Deep research, with citations

expert-ai deepresearch "the economics of modular construction"

Literature reviews

expert-ai lit "test-time scaling laws"

Paper audits & replication

Command | What it does expert-ai audit <paper> | Compares a paper's claims against its public code; flags mismatches and reproducibility risks. expert-ai replicate <paper> | Plans or executes a full replication workflow. expert-ai review <artifact> | Simulates a tough peer review with objections, severity, and a revision plan. expert-ai compare <topic> | Source-grounded comparison matrix with confidence levels.

Autonomous loops & watches

  • autoresearch — try an idea, measure results, keep what works, discard the rest, repeat.
  • watch — a recurring research watch on a topic, company, or paper area.
  • draft — turn findings into a polished paper-style draft with equations and citations.
  • code — full-spectrum software engineering and technical automation.

The 5-agent engine behind the workflows

Agent | Role Researcher | Gathers evidence, reads sources, explores the web and your vault. Reviewer | Checks the work against criteria and catches gaps. Writer | Drafts the deliverable in a polished, structured form. Verifier | Confirms citations and provenance — marks claims verified/unverified/inferred. Architect | Plans the overall approach and keeps the session on track.

Coding agents & harnesses (the 2026 wave)

  • One-click launch — a .bat/.command launcher gets you a ready-to-run terminal.
  • Real-time transparency — see reasoning steps, approve or reject edits inline.
  • Integrated test bot — auto-creates unit tests, runs them sandboxed, reports pass/fail.
  • Policy-driven security — per-project rules like "no external SDK calls".
  • Persistent knowledge — style guides and library versions stay consistent across sessions.

Why this matters for beginners

Provenance is the superpower. Every output that says "verified" carries a sidecar recording what was actually checked. That is what makes the difference between an AI answer and evidence you can trust.

Continue learning

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