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Prove the workflow before the app shell. Define the narrow painful workflow, find a reachable buyer, deliver manually, sell a small paid pilot, measure repeated use, collect before/after evidence, and only then add login, billing, dashboards, or automation.
Many AI SaaS attempts fail after too much product plumbing has already been built. This playbook moves the hard evidence forward: buyer access, willingness to pay, repeat behavior, delivery cost, review burden, and before/after value.
The first artifact can be a script, spreadsheet, SQLite tracker, DuckDB scratch mart, materialized retrieval output, reviewed label queue, static memo, or manually delivered dashboard snapshot. The point is to learn what must repeat before turning the workflow into software.
The next AI workplace artifact needs sharper proof gates before another complete app shell absorbs the work.
Each gate has a script, evidence requirement, pass signal, failure threshold, and infrastructure to delay.
Can one person name the exact recurring moment where the current workflow wastes time, creates risk, or blocks a decision?
When this workflow goes badly, what do you do next, who notices, and what decision gets delayed?
The user corrects your workflow description, adds missing edge cases, and can show a recent example.
Stop or narrow if five targeted conversations cannot produce one repeated workflow with a real consequence.
login, billing, dashboards, automation, integrations
Can you reach the person who feels the pain and the person who can approve a small pilot without a long enterprise process?
I am testing a manual service for teams that need [artifact] from [input] before [decision]. Who owns that today, and would a paid pilot be possible if the first sample is useful?
Three qualified people agree to inspect a concrete sample or book a workflow call.
Stop if 20 targeted asks produce fewer than three qualified conversations or no clear buyer path.
account roles, team permissions, pricing pages, self-serve onboarding
Can you deliver the promised result by hand fast enough to learn what the product must actually automate?
I will deliver this manually first so we can see whether the output is useful before I ask you to adopt software. The pilot artifact will include the input, the result, the evidence, and the next action.
The user accepts the manual process, gives specific feedback, and asks for another run or a paid pilot.
Stop if manual delivery takes more than one workday per artifact without revealing a smaller repeatable wedge.
background jobs, webhooks, admin panels, cron, notification systems
Will the buyer pay for the result before you package the workflow as SaaS?
The paid pilot is two weeks, three manual deliveries, and a final before/after summary. It costs $X. We continue only if the artifact saves time, reduces risk, or improves a decision you already make.
The buyer pays or signs a small pilot agreement without needing a self-serve app first.
Stop if ten qualified pilot asks create praise but no payment, approval, or concrete procurement path.
Stripe subscriptions, plan tiers, checkout flows, customer portals
Does the workflow repeat after the novelty of the first artifact is gone?
Should we run this again next week, and what would make the next run more valuable than the first one?
At least two users or one buyer across three cycles asks for the next run without being chased.
Stop if the artifact is praised once but not reused, forwarded, paid for again, or tied to a recurring operating rhythm.
product analytics, growth dashboards, lifecycle email, general automation
Can the buyer show a measurable difference between the old workflow and the pilot workflow?
Before this pilot, how did you handle the workflow, how long did it take, and what changed after the delivered artifact?
The buyer can name a saved step, clearer decision, reduced risk, or repeatable operating improvement.
Stop if neither user nor buyer can describe what improved after three delivered artifacts.
case-study pages, testimonial widgets, public claims, advanced reporting
Which repeated bottleneck is now painful enough that software is the cheapest way to remove it?
This feature exists because the paid pilot repeated this step enough times to make manual operation slower, riskier, or more expensive than a small product layer.
The first software layer reduces a known delivery bottleneck without widening the product beyond the validated workflow.
Stop expanding if activation needs constant founder intervention, repeat use drops, or delivery cost scales faster than retained value.
platform expansion, new personas, generic connectors, enterprise features
Score each criterion from 0 to 2. A high score does not justify a full platform; it just earns the right to run manual delivery and ask for a paid pilot.
0 pointsInteresting but rare.
1 pointMonthly or irregular.
2 pointsWeekly or tied to a repeated operating rhythm.
0 pointsNo clear budget owner.
1 pointA user feels pain but buyer access is indirect.
2 pointsBuyer or buyer-influencer can be contacted this week.
0 pointsRequires a full platform to demonstrate.
1 pointCan be mocked once with heavy founder effort.
2 pointsCan be delivered manually in a repeatable checklist.
0 pointsCompliments only.
1 pointBudget hinted but not committed.
2 pointsPaid pilot, invoice, or written approval is plausible now.
0 pointsOutcome is subjective and hard to inspect.
1 pointA proxy metric exists.
2 pointsThe buyer already tracks or can describe the before state.
0 pointsNo specific channel.
1 pointA channel exists but the artifact is not shareable.
2 pointsThe artifact can travel as a public-source template, teardown, or script.
0 pointsUnknown model, review, and support costs.
1 pointCosts can be estimated after one delivery.
2 pointsCosts are tracked per artifact from the first run.
0 pointsRequires login, billing, dashboards, and automation before proof.
1 pointSome infrastructure is tempting but avoidable.
2 pointsThe first proof can run through scripts, spreadsheets, SQLite, DuckDB, and direct delivery.
12-16: run manual delivery and sell a paid pilot.
8-11: narrow the workflow, buyer, or distribution wedge before building.
0-7: kill or park the idea until a sharper pain and buyer appear.
Use direct language. The goal is proof, not polish.
I am studying how teams handle [workflow]. When it breaks, what is the cost, who notices, and what do you do today?
Before I build software, I can deliver the result manually from one sample input and show the evidence trail. If it is useful, we can scope a small paid pilot.
The pilot is [duration], [number] deliveries, [artifact], and [success metric]. It costs [price]. We continue only if the before/after evidence is strong enough.
Do you want the next run on the same cadence, and what would you remove, keep, or change before this becomes software?
Which repeated manual step is now expensive, risky, or slow enough that login, billing, dashboards, or automation would pay for itself?
Write the stop rule before building.
Do not promote the idea to software until the pilot folder contains these items.
One narrow painful workflow with a named trigger and owner.
A reachable buyer or buyer-influencer contacted through a specific channel.
A manual delivery log with operator time, AI cost, review corrections, and delivery status.
A paid pilot agreement, invoice, payment link, or written approval.
Repeated use across at least two cycles or a buyer request for the next run.
Before/after evidence tied to time, quality, risk, decision clarity, follow-through, or cost.
A failure threshold written before adding login, billing, dashboards, or automation.
Once a paid pilot repeats, use the infrastructure guide to decide which product layer removes the next bottleneck without widening the promise.
It means proving the painful workflow, reachable buyer, manual delivery path, paid pilot, repeated use, and before/after evidence before adding product plumbing such as login, billing, dashboards, and automation.
A small paid pilot is a fixed-scope manual delivery engagement with one workflow, one buyer, a clear artifact, a success metric, a price, and a stop or renewal date.
Add them only after they remove a repeated bottleneck from paid delivery: private state, repeated payment collection, recurring inspection, or repeated handoffs that are now too slow or risky by hand.
No. Use generalized public-source patterns, synthetic inputs, and private delivery logs. Do not publish customer material, employer-specific claims, private workflows, or proprietary operational detail.
The right first version is not a full SaaS shell. It is a manual proof loop with a buyer, a paid pilot, repeated use, before/after evidence, and explicit thresholds for stopping.
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