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A Prompt for Extracting Structured Data From Invoices With Validation
When AI invoice extraction pays for itself, and how to build it: a cost-per-invoice model, a prompt with a JSON schema, OCR safeguards, arithmetic checks, review routing and labeled accuracy tests.
When Human Review Becomes the Bottleneck: Capacity Planning for AI Workflows
Build a defensible human review staffing model for AI workflows with risk bands, SLA capacity, backlog sensitivity, sampling, and clear overflow rules.
Reverse trials for SaaS: the downgrade decides whether users trust you
Learn when a reverse trial fits a SaaS product, how to design a safe downgrade to free, and which cohorts, events, and guardrails protect trust.
Outcome-Based Pricing for AI Agents: Define the Result Before the Invoice
Learn to price AI agents per verified outcome using acceptance rules, reversal windows, margin math, anti-gaming controls, and clear invoice logic.
A PQL Score Sales Can Trust: Events, Fit, Decay, and Thresholds
Build a PQL scoring model sales can trust with event definitions, fit, time decay, exclusions, SQL, backtests, calibrated thresholds, and review.
Design partner qualification: score commitment before you build
Learn how to qualify design partners before a B2B co-build starts. Use a practical scorecard to separate commitment from free-pilot intent early.
Feature adoption can be measured before analytics is instrumented
Measure feature adoption before analytics exists using database queries, audit logs, CRM evidence, manual cohorts, and confidence grades for sound decisions.
How to Synthesize 3-8 Product Discovery Interviews Without Overclaiming
Learn product interview synthesis from 3-8 discovery calls: build a B2B evidence matrix, expose contradictions, label confidence, and make decisions.
Teaching Product Craft the Way Musicians Learn
Learn how deliberate practice can reshape product education through drills, repertoire, feedback loops, and assessment that tests execution.
Product simulations without regulatory constraint train the wrong reflex
A record £19.2m UK settlement shows what rule-blind product decisions cost. How to build PM simulations where eligibility, stake limits, suppression rules and bonus economics change the answer before anyone drafts a solution.
From product simulator to interview-ready product judgment
Practice product judgment before the interview loop with product simulators that test trade-offs, economics, stakeholder framing, and evidence.
What AI analytics is worth to an iGaming operator, loop by loop
One hypothetical operator, five AI analytics loops and one P&L: what support deflection, churn uplift, fraud queues, forecasting and personalisation return, and where the numbers stop adding up.
AI strategies for iGaming: make the first project the boring one
Most first AI projects in iGaming stall between pilot and production. Why support deflection makes a safer start than game recommendations, with illustrative arithmetic and the questions to settle before launch.
AI at SBC Summit and other iGaming shows: how to audit vendor claims on the floor
A field method for auditing AI vendor claims at SBC Summit Lisbon or any iGaming trade show: five questions, a scoring sheet, the cost of integration and a plan for three show days.
Inside the iGaming Personalization Ecosystem
iGaming personalization is a connected stack, from identity stitching to real-time scoring and compliance guardrails. What a programme costs, what it has to earn back, where measurement misleads and how to evaluate a platform.
Building music-tech in Europe means fixing habits before ideas
A creator tool can win 4,000 signups and keep Six failure modes behind that pattern, the signal that catches each early, and a 90-day plan for founders building music-tech in Europe from a Portugal base.
Unit economics calculator: the same formulas give different answers at each stage
A $50 subscription can look like a $760 customer and be worth $600 on net revenue. Eight lifecycle stages, from choosing the unit to running several economic engines, with a worked contribution walk and the guardrails each stage needs.
A/B testing in the AI era: lean startups need fewer tests and harder metrics
Peeking turns a 5% false-positive rate into 26.1%, and AI makes variants cheap enough to peek at ten a week. How lean startups define evidence, size tests, pin down drifting treatments and set guardrails for trust and cost.
Product manager assessments now score decisions under constraint
PM interviews have turned into work samples. What modern assessments predict, the four formats they reuse, an 18-point scoring sheet and five scenarios where the first metric that moved is the one that misleads.
A business strategy is only as strong as its unit economics under load
A strategy that persuades a board can still fail under load. This blueprint ties lean experiments, AI cost controls, unit economics and designed growth loops into a plan a team can build from and revise.