> ## Content Index
> Fetch the complete content index at: https://ssv.asia/llms.txt
> Use this file to discover other available public pages before exploring further.

# Research Workflows: Deep Research, Lit Reviews & Audits from One Command
- URL: https://ssv.asia/research-workflows-one-command/
- Published: 2026-08-08T13:40:29.000Z
- Updated: 2026-08-08T13:40:29.000Z
- Description: The 5-agent engine behind cited briefs, paper audits, replication and peer review.
- Author: ssv.asia
- Tags: Learn AI, Expert AI

## 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

- Terminal vs ChatGPT — the honest comparison.
- Glossary of every term you just read.