Use the AI Industry to Build Your Startup

1. Define your advantage

SHOW A bakery needs faster enquiry replies, not a new foundation model.

EXPLAIN Start with a customer problem and a measurable outcome.

DO Write one customer, one painful task and one weekly success measure.

TEST Could a customer tell whether this solved their problem?

SEE RESULT A testable business hypothesis.

2. Map the ecosystem

SHOW A model API, cloud credit and coding tool solve different problems.

EXPLAIN Benefits have different units and conditions; compare within a category.

DO Find one model, cloud and software record below. Write the role of each.

TEST Have you separated tools from dedicated startup programs?

SEE RESULT A three-role resource shortlist.

3. Credits are not cash

SHOW An advertised maximum is not an award or recurring revenue.

EXPLAIN Budget for zero credits until accepted; check eligible services and expiry.

DO Write monthly usage, paid price, confirmed credits and expiry. Unknown prices stay UNKNOWN.

TEST Can the business pay its bill after credits expire?

SEE RESULT A no-credit baseline and a credit-assisted scenario.

4. Choose software

SHOW A solo founder can test a simple workflow before buying team seats.

EXPLAIN Subscription seats and API credits are separate entitlements.

DO Inspect seats, restrictions and terms for two candidates.

TEST Do you know whether your existing account qualifies?

SEE RESULT A software choice with an unresolved-question list.

5. Find build help

SHOW Documentation differs from an adviser reviewing your architecture.

EXPLAIN Check whether technical help is promised to accepted members or open to everyone.

DO Record support, office hours and how to request help for one provider.

TEST Did the official source confirm the help you need?

SEE RESULT A support route with an evidence link.

6. Learn the missing skill

SHOW A webinar may teach a technique without being a structured course.

EXPLAIN Use the education and courses fields separately.

DO Choose one learning resource; write the task you will perform after it.

TEST Can you demonstrate that task instead of just finishing a video?

SEE RESULT A skill exercise and checkpoint.

7. Prepare launch

SHOW A founder meetup can provide feedback; it does not guarantee customers.

EXPLAIN Events and community are channels for discovery, not sales forecasts.

DO Plan five customer interviews and one measurable pilot.

TEST Have customers agreed to the pilot and its success measure?

SEE RESULT A launch experiment.

8. Plan scale

SHOW Higher traffic can increase model, database and support costs.

EXPLAIN Compare latency, reliability, limits and the cost of leaving a provider.

DO Estimate a tenfold workload; identify a spending limit and fallback.

TEST Can you stop overspend and export business data?

SEE RESULT A scale and recovery plan.

9. Compare offers

SHOW Fit can beat a bigger headline credit balance.

EXPLAIN Use weights: need fit 30, net cost 25, evidence 20, portability 15, help 10. Unknown inputs remain unscored.

DO Score two options 0-5 per known criterion; multiply by weight/5.

TEST Are missing inputs visible rather than replaced by zero or a guessed score?

SEE RESULT A provisional scorecard, not a universal winner.

10. Prepare applications

SHOW An application may require a referral or company verification.

EXPLAIN Acceptance is the provider decision; the Finder never grants eligibility.

DO Gather website, company description, stage, location and required referral evidence.

TEST Have you checked current official terms before submitting?

SEE RESULT An application checklist; do not store private documents here.

11. Check stacking

SHOW Two offers may both exclude previous customers or forbid combination.

EXPLAIN Stacking requires explicit permission for each benefit and billing account.

DO Write each expiry, eligible account, covered service and combination rule.

TEST Does any rule remain UNKNOWN? Ask the provider before assuming savings.

SEE RESULT A restrictions matrix.

12. Design your startup stack

SHOW A complete workflow also needs storage, deployment and support.

EXPLAIN Cover model, coding, database, cloud, marketing, design, analytics, automation, support, video, research and deployment.

DO Assign one candidate and fallback to each role; leave gaps explicit.

TEST Does the workflow deliver the customer outcome with a sustainable budget?

SEE RESULT A stack architecture and gap list.

13. My AI Startup Resource Map

SHOW Your shortlist is an investigation plan, not an acceptance notice.

EXPLAIN Combine the customer goal, budget and evidence into a next-action map.

DO Complete the profile below, select resources and export your map.

TEST Does each chosen resource include its source, restrictions and next question?

SEE RESULT A downloadable personal resource map.

Your founder workshop

Allow 90–150 minutes plus customer interviews. Work through 13 lessons, write each result, answer the checks, then export your resource map. A checked lesson means you produced a note; the capstone rubric in the workbook assesses its quality.

Two worked founder stacks

Bakery owner, bootstrapped, nontechnical, 100 USD/month practice budget. Goal: reply to five routine enquiries in under ten minutes while a human approves every reply. Model: a paid API or existing approved assistant, compare OpenAI and Anthropic resources without assumed awards. Coding: Replit as a prototype candidate, startup credits unconfirmed without a qualifying partner. Database: a local spreadsheet for the first 20 consented test enquiries. Cloud/deployment: existing business website; export the prototype before changing hosts. Marketing/design: human-written email and a simple template. Analytics: spreadsheet counts response time and accepted drafts. Automation/support: manual approval and the owner's inbox. Video: one phone demonstration. Research: five customer interviews and sourced provider documentation. All 12 roles have a concrete small-scale choice; upgrade storage and permissions before real customer deployment.

VC-backed B2B developer team, seed, 10,000 USD/month practice budget. Goal: answer approved product-document questions with citations, 95% acceptable answers on a 40-question evaluation and a human escalation route. Model: compare first-party API and Together/OpenRouter; investor referral does not establish award. Coding: chosen IDE after a team trial, Cursor offer UNKNOWN. Database/cloud: compare Databricks/Neon with Azure/AWS after a measured workload; avoid buying duplicated infrastructure for credits. Deployment: Vercel candidate only if partner and current terms fit. Marketing: five consented design partners; design: existing templates; analytics: request/error/latency and paid-cost dashboards; automation: CI evaluation gate; support: human ticket inbox; video: recorded workflow demo; research: interviews and reproducible benchmark. Fallback: alternate API, data export and a read-only FAQ. Budget all services at paid rates; confirmed credits are a separate scenario.

A worked scorecard

The weights prioritize solving a real need (30), sustainable cost (25), source strength (20), ability to leave (15), and help (10). Scores are learner judgments supported by a measured trial, never provider rankings.

Practice option A: scores 4, 3, 5, 4, 2 → 24 + 15 + 20 + 12 + 4 = 75/100. Option B: 5, UNKNOWN, 4, 3, 4 → 30 + UNKNOWN + 16 + 9 + 8 = 63 known points out of 75 assessable. B cannot be declared better or worse until cost is known. Unknown inputs stay blank; coverage is reported separately.

Where to investigate first

These are situation-specific research routes, based on the dataset rather than universal winners. Early and bootstrapped: AWS Founders and open resources, with a zero-award budget. VC-backed: ask your actual investor about OpenAI, Google, OpenRouter and Vercel partner routes. Developers/coding: trial a coding tool and verify current subscription costs; Replit's partner offer may be relevant. Nontechnical: start with a human-reviewed small workflow and budget for help. Agents: compare real eval results, API limits and fallback on Together/OpenRouter; credits do not certify capability. Infrastructure/cloud: compare AWS/Azure/Google against a measured workload. Education: Hugging Face LLM Course when Python prerequisites fit, NVIDIA training when member terms fit, Alibaba Academy when accepted. Community: NVIDIA, Mistral ambassadors and provider events after checking their responsibilities and dates. Overall value: the option that meets your customer test and remains affordable at paid rates.

Check what you learned

Finish-line checklist

Write all lesson deliverables, compare two options with evidence, cover every stack role, plan one customer pilot, identify paid costs after expiry, and export your map. Use the workbook's 100-point capstone rubric; unanswered eligibility remains a next action. No application is sent and no credit is claimed by this page.

Build Bot Better

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Quality/deployment evidence: Student tests · Independent grade · Mission report. Local evidence and live deployment are reported separately. Public marketing requires human approval.