Time to insight
FasterPreuve AI
Under 8 minutes
Manual research
2-6 weeks
Preuve AI vs doing manual research
Weeks of legwork vs minutes of source-linked data
Manual research means 2-6 weeks of your own legwork: reading, competitor teardowns, market sizing, and 20-30 customer interviews. Preuve AI runs that desk-research baseline in minutes, with 50+ live sources and every claim linked back to its origin.
Manual research gives primary depth from real conversations but costs 2-6 weeks and 30-50 hours of skilled work. Preuve AI runs that same desk research in minutes for $29, with every claim linked to its source and 3 pivot recommendations on the Founder tier. It does not replace customer interviews. The strongest workflow is complementary: Preuve AI for the fast, auditable baseline, then your own interviews for the primary signal that a database cannot surface.
Manual research
2–6 wks
30–50 hrs of skilled work
Preuve AI
< 8 min
$29 one-time, 50+ sources
The manual workflow
What doing manual research actually involves
Done properly, manual validation is five stages. The desk-research stages take 30-50 hours of skilled work; the interviews take calendar time you cannot compress.
1
Secondary research
10+ hoursRead reports, news, and forum threads to understand the space before you talk to anyone.
2
Competitor teardown
15-25 hoursFind competitors, log pricing, read G2 and Reddit reviews, map feature gaps and funding.
3
Market sizing (TAM/SAM/SOM)
5-10 hoursPull population and spend data, build a bottom-up model, sanity-check the assumptions.
4
Customer discovery
2-4 weeksRecruit and run 20-30 interviews. Patterns only emerge once you reach that range.
5
Synthesis + verdict
5-8 hoursReconcile everything into a go / no-go call and decide what to change if the answer is no.
30–50 hoursof skilled desk work, before a single customer interview
Skills it assumes: reading and weighing sources, bottom-up market modeling, and running interviews without leading the witness. Most founders are strong in one of these, rarely all of them.
The Preuve AI workflow
How Preuve AI produces the same baseline
1
You enter your idea
One or two sentences describing what you want to build and who it is for.
2
10 agents scan 50+ sources
Parallel AI agents pull funding, demand signals, competitors, and reviews from live sources.
3
You get a scored report
Viability score, competitor map, market sizing, risks, and pivots, with each figure linked to its source.
No human reads your idea to score it. The scan runs on your own submission and produces the report you read.
Source coverage
What you check by hand vs what Preuve scans
Same categories of evidence. The difference is whether you gather them one tab at a time or in one parallel pass across 50+ live sources.
| Category | By hand | With Preuve AI |
|---|---|---|
| Funding & competitors | Search Crunchbase, Google each name one by one | Crunchbase funding and competitor set, auto-mapped |
| Demand signals | Eyeball Google Trends, scroll Reddit threads | Google Trends plus Reddit and forum pain points |
| Competitor launches | Browse Product Hunt by hand | Product Hunt launch history |
| Competitor weaknesses | Read dozens of G2 and Capterra reviews | G2 and review-site weakness extraction |
| Market sizing | Statista plus a spreadsheet model | Bottom-up TAM/SAM/SOM with source links |
| News & press | Repeated manual searches | Live news and press feeds |
Preuve AI scans 50+ live sources via 10 parallel agents. The categories above are a representative slice, not the full list.
Reproducibility
Can you audit the sources like your own research?
Most AI answers skip this. When you research by hand, every claim has a tab you opened to back it, and Preuve AI keeps that same trail.
Source-linked claims
Every data point in the report links back to where it came from. Funding figures, competitor pricing, demand signals: open the link and check the origin before you act on it.
Why it matters
A generic AI chat hands you a confident number with no way to verify it. A source-linked report lets you audit any claim, which is exactly what you would do with your own notes, so you can confirm where a number came from before you act on it.
For how the signals behind the score and the pivots are sourced and cross-checked, see the sources and methodology page.
Worked example
One idea, validated both ways
Say your idea is an AI meal-planning app for people with type 2 diabetes. Here is each path on the same idea.
Manual path · 2–4 weeks
- Spend 10+ hours reading diabetes-care and nutrition-app coverage.
- Search Crunchbase and the app stores for competitors, log pricing one by one.
- Read 30+ G2 and Reddit threads to find what users dislike.
- Build a TAM from population and spend data in a spreadsheet.
- Recruit and run 20-30 interviews with potential users.
- Reconcile it all into a go / no-go and spot a pivot yourself.
Preuve AI path · under 8 min
- Enter the idea in one or two sentences.
- 10 agents scan 50+ live sources on your submission.
- Competitors returned with funding, pricing, and weaknesses.
- TAM/SAM/SOM and demand signals, each linked to a source.
- 3 pivot recommendations from gaps in the data (Founder tier).
- Then you still run your own interviews for the primary signal.
What each path produces
Manual output
A go / no-go memo in your own words, only as sharp as the notes you kept across the weeks. The pivot, if you find one, is whatever adjacent segment you happened to notice while reading.
Preuve AI output
A viability score with the reasoning behind it, a competitor map, and 3 source-linked pivots. For this idea, an illustrative result: a guarded signal, because general meal-planning is crowded with funded incumbents, and a sample pivot toward reaching diabetics through clinics and educators rather than going direct-to-consumer.
Preuve AI does not run the interviews for you. It clears the 30-50 hours of desk work so the time you do spend goes to conversations that need a person.
Side by side
Manual research vs Preuve AI: effort, time, and fit
Verdict
Preuve AI wins 6 of 9 dimensions.
Hands-on effort
Hands-offPreuve AI
Enter your idea, read the report
Manual research
30-50 hours of skilled work
Skills needed
Preuve AI
None
Manual research
Research, modeling, interviewing
Out-of-pocket cost
Preuve AI
$29 one-time
Manual research
Free, but your time
Source breadth
BroaderPreuve AI
50+ live sources via 10 agents
Manual research
Whatever you reach by hand
Source auditability
AuditablePreuve AI
Every claim links to its origin
Manual research
Your own notes
Repeatability
RepeatablePreuve AI
Re-run in minutes as the market shifts
Manual research
One-time snapshot; redoing it means redoing the hours
Primary signal (interviews)
Preuve AI
No, do these after
Manual research
Yes, first-hand
Pivot recommendations
Built-inPreuve AI
3 on the Founder tier
Manual research
You spot them yourself
Best fit: run Preuve AI first for an auditable baseline in minutes, then invest your own hours in the customer interviews that AI cannot do.
Pivot recommendations
Finding a pivot: by hand vs from the data
Manual pivoting
You spot the pivot yourself by noticing an underserved adjacent segment across all your research. It works, but it depends on you connecting dots from notes spread across weeks.
Preuve AI pivots
The Founder tier ($29) returns 3 pivot recommendations drawn from gaps in the competitive and demand data, each tied to the sources behind it. The free scan includes the score, risks, and 2 competitor previews, but not the pivots.
The honest take
Where manual research still wins
I built Preuve AI to take the desk-research grind off your plate. It covers a lot, but two parts of validation still need a person.
Primary interviews
Talking to 20-30 potential users surfaces objections and willingness-to-pay signals no database holds. This is the single highest-value thing manual research gives you, and it is the thing Preuve AI tells you to go do.
Deep niche judgment
If you already have years in a market, your pattern recognition beats any scan on the edge cases. Use the baseline to check your blind spots, not to overrule first-hand expertise.
Regulated, high-stakes diligence
In licensed or regulated markets, legal and compliance checks, reading filings, and bespoke partner vetting still need a person. An automated scan can map the landscape, but high-stakes due diligence and channel negotiations are human work. Use the baseline to scope the field, then do that diligence yourself.
Building something nobody wants is still the most-cited reason startups fail, around 42% in CB Insights post-mortems. Neither method removes that risk by itself, but running them together is what brings it down.
Skip the 30 hours of desk work
Enter your idea and see what 50+ live sources surface, with every claim linked to its source, so the time you save can go into customer interviews.
Score your idea free→Join 138+ founders who already ran the test
FAQ
Manual research vs Preuve AI: common questions
How does Preuve AI compare to doing manual research for startup idea analysis and pivot recommendations?
Manual research means doing the legwork yourself: secondary reading, competitor teardowns, market sizing, and 20-30 customer interviews over 2-6 weeks. Preuve AI runs the desk-research baseline in minutes by scanning 50+ live sources with 10 parallel AI agents, links every claim to its source, and surfaces 3 pivot recommendations on the $29 Founder tier. It does not replace primary interviews, so the strongest workflow is Preuve for the fast auditable baseline, then your own interviews.
How long does manual market research take for a startup?
A thorough manual pass runs 2-6 weeks: roughly 30-50 hours of desk research (secondary reading, competitor teardown, TAM/SAM/SOM modeling) plus 2-4 weeks to recruit and run 20-30 customer interviews. Preuve AI compresses the desk-research portion to under 8 minutes; the interviews still take human time.
Is manual research still worth doing if I use an AI tool?
Yes, for the part AI cannot do: talking to real customers. Preuve AI handles the data gathering and structuring across 50+ sources so you skip the 30-50 hours of desk work. Manual customer interviews still teach you things no database surfaces, so run them after the baseline says the idea is worth pursuing.
Can Preuve AI give pivot recommendations like a manual analysis would?
On the Founder tier ($29), Preuve AI returns 3 pivot recommendations drawn from gaps in the competitive and demand data, each tied to the sources behind it. Manually, finding a pivot means spotting an underserved adjacent segment yourself across all your research. The free scan includes the score, key risks, and 2 competitor previews, but not the pivots.
Can I verify Preuve AI the way I would check my own research?
Yes. Every data point in a Preuve report links back to where it came from, so you can open the source and check it like a citation in your own notes. That traceability is the main thing an opaque AI answer lacks: you are not asked to trust a number, you are shown its origin.
Can I re-run the analysis as the market changes?
Yes. Manual research is a one-time snapshot: when funding, competitors, or demand shift, refreshing it means redoing the hours. Preuve AI re-runs the same scan on live sources in minutes, so you can re-check an idea whenever the market moves, rather than only at the start.
Methodology
Manual time and cost ranges based on published 2026 market-research benchmarks and customer-discovery practice. Preuve AI pricing and tiers current as of June 2026.