TOOL LAB Research Intermediate Tested October 2026

Flowith: Multi-Step Deep Research (2026)

⚡ VERDICT

Best for: Researchers and analysts who want an agentic research workflow that plans sub-questions and compiles cited reports without manual prompt chaining.

Skip if: You need guaranteed source-level accuracy without human review, or you are on a strict free plan with heavy daily usage.

Price: Free plan available; paid tiers start around $19/month (checked 2026-10-15)

Skill level: Intermediate

Time to first result: [TODO: our test] measure, don't estimate

Score: [TODO: our test] measure, don't estimate

🚀 Quick start

Create a Flowith account and open a new conversation.
Enable Oracle Mode or Deep Research from the model or settings area.
Enter a broad research question and review the generated sub-question plan.
Execute the plan, monitor progress, and export the cited report.

💡 Why use Flowith for this

Flowith's Oracle Mode is an agentic research feature that takes a single question, generates a plan of sub-questions, runs each one across web searches or documents, and compiles a cited report. It is designed to reduce the manual back-and-forth of prompt chaining, but plan limits and model choice affect execution depth. Pricing and feature availability checked 2026-10-15; verify current tiers on Flowith's official pricing page before relying on specific limits.

🛠️ How to Multi-Step Deep Research (6 steps)

Step 1

Open Flowith and start a new conversation. Select a capable model such as GPT-4o or Claude 3.5 Sonnet from the model selector.

Step 2

Locate the Oracle Mode or Deep Research toggle near the model selector or in conversation settings, and turn it on.

Step 3

Type a broad, open-ended research question into the input box. Example: 'What are the main trends in AI-powered customer support tools in 2026?'

Step 4

Wait for the planner to generate 3–8 sub-questions. Review them and edit, add, or delete sub-questions directly before execution.

Step 5

Click Execute or Start Research. Watch progress in real time; each completed sub-question shows a brief summary.

Step 6

If the run goes off-track, interrupt it, refine the plan, and resume. When finished, review the compiled report and citations.

📦 What you'll get

You receive a structured report with sections corresponding to each sub-question, inline citations with URLs, and a synthesized summary. The exact format and citation reliability depend on the model and sources used.

💰 Pricing (checked 2026-10-15)

Plan	Price	What you get for this workflow	Official link
Plan	`Price`	What you get	pricing ↗
Free	`$0`	Basic access with limited Oracle Mode execution time and sub-questions	pricing ↗
Pro	`~$19/month`	Longer execution times, more sub-questions, priority model access	pricing ↗
Enterprise	`Custom`	Team features, higher limits, dedicated support	pricing ↗

📋 Copy-paste prompts

PROMPT 1 — Competitive landscape research

"Research the top 5 competitors in [industry]. For each, provide: their core product, target customer, pricing model (rough tier), and recent funding or revenue data. Include at least one source per competitor. Cite all sources with URLs."

PROMPT 2 — Technical feasibility study

"Evaluate the feasibility of implementing [technology] for a mid-size SaaS company. Cover: required infrastructure, typical implementation timeline, cost range, common pitfalls, and case studies. Provide 3–5 cited sources."

PROMPT 3 — Market sizing and trends

"Estimate the market size for [product category] in [region] for 2026. Include growth rate, key drivers, and major market segments. Use reputable market research sources (e.g., Gartner, IDC, Statista). Cite at least 3 sources."

⚠️ Common mistakes

❌ Asking an overly narrow question that limits exploration.

Why it happens: Old habit of prompt engineering where you control every detail.

✅ Quick Fix: Start broad, then use follow-ups to zoom in.

❌ Not reviewing the planner before hitting execute.

Why it happens: Excitement to get results fast.

✅ Quick Fix: Always spend 30 seconds scanning the plan — it can save minutes of wasted execution.

❌ Expecting real-time updates if the model is slow.

Why it happens: Multi-step research takes time; some models are faster than others.

✅ Quick Fix: Use a faster model for initial exploration, then switch to a deeper model for final synthesis.

⚖️ Flowith vs Alternatives

Tool	Price	Best For	Verdict
	`Free; Pro $20/month (checked 2026-10-15)`
	`Free; Plus $12/month; Pro $49/month (checked 2026-10-15)`

❓ Frequently Asked Questions

Q: What is Flowith Oracle Mode?

Oracle Mode is Flowith's agentic research feature that generates a plan of sub-questions, executes each one, and compiles a cited report from a single prompt.

Q: Is Flowith Oracle Mode free?

Flowith offers a free plan with limited Oracle Mode execution time and sub-questions. Paid tiers unlock longer runs and more sub-questions. Check the official pricing page for current limits.

Q: How does Oracle Mode differ from manual prompt chaining?

Oracle Mode automatically plans and runs sub-questions, whereas manual prompt chaining requires you to write and manage each follow-up prompt yourself.

Q: Can I edit the research plan before execution?

Yes. After the planner generates sub-questions, you can edit, add, or delete them before clicking Execute.

Q: What models work best with Oracle Mode?

Flowith supports multiple models. Faster models can speed up initial exploration, while deeper models may improve final synthesis. Availability depends on your plan.

🛡️ Facts checked against official pages on October 2026:

flowith.io ↗ · flowith.io ↗ · flowith.io ↗ · flowith.io ↗