Plans, executes, and returns a deliverable for high-context multi-step work. Good for research, list building, lightweight analysis. The right pick when the task would otherwise be a dozen chat turns and a human aggregator.
Autonomous research agent
When the task is 'research this market and write a 3-page summary' or 'find me 50 leads in this niche with verified contact info', a chat LLM is the wrong tool — too much hand-holding. Manus runs the multi-step plan autonomously and returns a deliverable. Claude is the QA gate before you trust it.
Read the Manus output critically. Cross-check 3 to 5 claims with citations. Don't act on autonomous output without a human-in-the-loop pass.
- manusFree trial
- claude$20 (QA)
- manus$39 Starter
- claude$20
- manus$199 Pro
- claude$20
- 1Write the goal, not the stepsManus
Manus plans best when given the destination, not the route. 'Find me 30 EU-based SaaS companies in the HR space with public funding rounds in 2025' beats 'first search Crunchbase, then…'.
Prompt · Goal-shaped Manus promptI want a deliverable, not a chat. Here's the goal. Goal: """ {{describe the deliverable: what it is, who it's for, what 'done' looks like}} """ Constraints: - Time budget: {{e.g. "no more than 30 min of agent time"}} - Quality bar: {{e.g. "every claim has a primary-source link"}} - Format: {{Markdown / Google Doc / CSV with these columns / etc.}} - Out of scope: {{things you should NOT spend cycles on}} Run the plan. Hand me the deliverable when it's done. - 2Watch the first 2 to 3 stepsManus
Manus is autonomous, not magical. The first few steps tell you whether the plan is on the right track. Cancel + re-prompt if it's drifting.
- 3QA with ClaudeClaude
Don't act on autonomous output blind. Run a structured QA pass against the deliverable.
Prompt · QA pass on autonomous outputAudit the deliverable below for trustworthiness before I act on it. Deliverable: """ {{paste Manus output}} """ Goal it was supposed to satisfy: """ {{paste original goal}} """ Output: 1. **Coverage** — did it actually answer the goal? Anything missing? 2. **Trust spot-checks** — pick 3 specific claims and tell me which I should verify by hand. 3. **Format issues** — does it match the requested format? Are headings, columns, links right? 4. **Red flags** — fabricated facts, broken links, hallucinated names. List specifically. 5. **Verdict** — ship as-is / fix list / re-run with a tighter prompt. Be a skeptical reviewer, not a polite one.
Replaced 3 hours of manual Crunchbase / LinkedIn search per week with a Manus run. Quality was within 90% on the first pass after the QA step caught 4 fabricated funding rounds. The QA gate is non-optional.
Manus hallucinates with the same physics as any LLM — just over more steps, with more confidence. The Claude QA step is the only thing keeping bad data out of your decisions.
'Research the EU SaaS market' is unbounded. Tight constraints make Manus useful; loose ones make it expensive.