Agent-native micro-SaaS packages
Start with a repeatable job. SaaS.bot returns the app spec, domain model, workflows, brand direction, positioning, competitive analysis, launch checklist, runtime plan, and monitoring loop agents and humans need to build and operate it.
JTBD to micro-SaaS
Use the Mad Lib to find the shape of the work: {Persona A} under {Condition B} wants to {do C} so that they can then {do D}. When that job needs state, roles, workflow, payments, proof, monitoring, or repeat access, micro-SaaS is the right infrastructure for the job.
Solution search
Take the selected job-to-be-done and look for existing tools, manuals, and agent workflows. Then score whether the right answer is to use something existing, build a one-time tool, or launch a micro-SaaS service.
Small gym owner under a Stripe invoice fails wants to recover the payment without awkward follow-up so that they can then protect cash flow and member trust.
Score each checklist item 0-2: 0 = no, 1 = maybe, 2 = yes.
Micro-SaaS score 10+: consider a service. One-time score 4+: build a temporary tool. Existing-solution score 2+: buy, configure, or document the existing path first.
Example package
Recover failed Stripe subscription payments without awkward manual follow-up. One concrete JTBD becomes product, domain model, workflow, brand, positioning, launch, and monitoring guidance.
View full example packageView reusable SaaS templateWhat you get back
SaaS.bot returns a complete micro-SaaS operating package: what the product is, who it serves, why it wins, how the workflow runs, what data it owns, what agents can execute, what humans must review, how to launch it, and how to monitor and improve it.
Small gym owner under a Stripe invoice fails wants to recover the payment without awkward follow-up so that they can then protect cash flow and member trust.
Agent start packet
A good SaaS.bot packet names the customer, trigger, pain, current workaround, actors, inputs, domain objects, workflow states, outputs, competitors, launch channel, success metrics, and monitoring events.
Required start packet fields
jtbd: recover failed Stripe subscription payments for small gyms customer: small gym owner trigger: invoice.payment_failed webhook pain: lost revenue and awkward manual follow-up current_alternatives: Stripe dunning, Churnkey, ProfitWell Retain, manual VA workflow actors: gym owner, staff, member, billing agent inputs: Stripe invoice, member email, subscription status domain_objects: invoice, member, retry, message, payment_link, staff_handoff workflow_states: failed, contacted, link_clicked, paid, escalated, closed outputs: recovery dashboard, member link, staff alert, receipt brand_constraints: trustworthy, direct, not shaming positioning_hypothesis: recover revenue without awkward follow-up competitors: Stripe Billing, Churnkey, ProfitWell Retain pricing_model: recovered-revenue percentage or monthly subscription launch_channel: Stripe app marketplace and gym-owner communities success_metrics: recovery rate, paid invoices, time-to-recovery monitoring_events: email.opened, link.clicked, invoice.paid, staff.intervened constraints: email domain, payment settings, escalation rules, retention policy
customer: Small gym owner
trigger: a Stripe invoice fails
job: recover the payment without awkward follow-up
value_proof: protect cash flow and member trust
JTBD in - micro-SaaS package out
The homepage stays readable, but the package stays structured. Agents can execute it, humans can judge it, and both sides can keep operating the micro-SaaS after launch.
submit_jtbd_packet({
jtbd: "recover failed Stripe subscription payments for small gyms"
})
returns:
product:
name: Recovery Coach
tagline: Recover missed payments without awkward follow-up
audience: small gym owners and billing staff
positioning: revenue recovery assistant for member subscriptions
competitive_wedge: simpler than retention suites, more humane than generic dunning
app:
routes: /dashboard, /members/:id/recovery, /payment-links/:id, /staff/escalations
roles: owner, staff, member, billing_agent
tables: invoices, members, retries, messages, payment_links, staff_handoffs
jobs: classify_failed_invoice, send_recovery_email, retry_payment, escalate_to_staff
events: invoice.payment_failed -> member.contacted -> payment_link.clicked -> invoice.paid
workflows:
happy_path: failed invoice -> email -> payment link -> paid -> receipt
exceptions: bounced email, failed retry, disputed charge, staff intervention
human_review_gates: high-value account, angry reply, repeated failure
launch:
checklist: Stripe webhook, email domain, payment settings, member copy, escalation rules
required_integrations: Stripe, email provider
risks: deliverability, tone, retry timing, customer trust
monitoring:
activation_metric: connected Stripe account
value_metric: recovered invoice dollars
failure_modes: unopened emails, unpaid links, staff backlog
review_cadence: weekly recovery and copy review
agent_ops:
build_instructions: generate routes, schema, jobs, copy, tests, and runbook
test_plan: webhook, email, payment link, escalation, receipt, retention
runbook: inspect failed jobs, tune copy, update competitors, adjust retry rules
next_agent_tasks: improve segmentation, compare dunning alternatives, test pricingRuntime layer
Not every package needs payments or credits on day one. When the job needs a durable app surface, SaaS.bot can attach the runtime pieces after the product, workflow, launch, and monitoring package is clear.
Living system
SaaS.bot does not stop at a static spec. It creates launch checks, metrics, feedback loops, proof records, and monitoring prompts that agents and humans can use after the first version ships.
Example micro-SaaS jobs
Watch funder portals and email attachments, extract requirements, assign document tasks, route director approval, and store submission proof.
Portal/email -> requirement extraction -> task queue -> director approval -> submission proof
Buyer: nonprofit program director. Wedge: fewer missed funder obligations. Monitoring: on-time task completion and submission defects.
Extract referral PDFs, flag missing information, route clinician review, send scheduling links, and preserve audit proof after compliance review.
Fax/PDF -> OCR -> missing-info request -> review gate -> scheduling link -> audit proof
Buyer: specialty clinic operator. Wedge: cleaner intake without replacing staff judgment. Monitoring: missing-info rate and time-to-schedule.
Turn technician photos and field notes into a repair quote draft, route owner review, publish a customer approval link, and create parts-order tasks.
Photo/text -> extraction -> quote draft -> approval link -> parts task -> proof
Buyer: small HVAC owner. Wedge: faster quotes from field notes/photos. Monitoring: quote approval rate, time-to-send, and parts-order errors.
Watch procurement sources, dedupe opportunities, score fit, draft a compliance matrix, route to a reviewer, and export the packet with source evidence.
Sources -> fit score -> response draft -> approval -> export proof
Buyer: services firm operator. Wedge: less wasted bid effort. Monitoring: qualified opportunities, response cycle time, and win-rate signal.
Receive Stripe failure webhooks, send member emails, create payment links, escalate risky accounts, and track recovered invoices for staff.
Webhook -> recovery queue -> email/link -> staff handoff -> receipt
Buyer: small gym owner. Wedge: recover revenue without awkward follow-up. Monitoring: recovery rate, link clicks, and paid invoices.
Turn transcript uploads into sponsor-ready inventory pages, require producer approval, publish private buyer links, and track payment status.
Upload -> generate inventory -> approve -> buyer link -> payment proof
Buyer: independent podcast producer. Wedge: sell sponsor slots from existing episodes. Monitoring: buyer link views and paid placements.
Private preview
The public site documents the package format. Private-preview builds are available for selected workflows and use an agent token, a JSON start packet, status polling, and a proof-package export instead of hidden chat context.
Regulated data boundary: PHI, financial records, and other sensitive workflows require explicit retention, deletion, audit, and compliance review before ingestion.
Request builder accessRead agent API docssubmit_jtbd_packet() -> product_spec -> domain_model -> workflows -> brand_positioning -> competitive_scan -> launch_plan -> monitoring_loop
SaaS.bot vision
SaaS.bot packages the missing layer between agent skills and full companies: small hosted applications that coordinate multiple actors, persist state, enforce access, run jobs, and make the result usable outside the agent chat.
The core purpose is not another landing-page generator. It is a transactional AI factory for agent-era work: research artifacts, product copy, code, auth, payment rails, deployment, analytics hooks, and proof records in one flow.
Open the working proof