Power PlatformMar 23, 2026
The schema name you pick for a Dataverse column is a decision you live with for the life of the solution. Here is the convention we enforce on every project, including the publisher prefix rule that new teams wish they had set earlier.
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Marketing CloudMar 22, 2026
SQL Query is the only Automation Studio Activity that can join multiple Data Extensions, aggregate data, or do anything a Filter Activity can't. Here are the three patterns we use most on production builds.
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Dynamics 365Mar 21, 2026
Dual-write is the recommended integration between D365 F&O and Dynamics 365 Customer Engagement apps. It's not one-way, it's not a periodic export, and it's not a schema duplicator. Here's what architects need to understand before configuring it.
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ShopifyMar 20, 2026
A client wants Shopify talking to an external system for customer-data sync. The project is MVP-scope - prove the connection works, iterate later. The right approach isn't a full middleware build; it's the simplest integration surface that gets data flowing.
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AI AgentsMar 19, 2026
A founder forwarded a vendor invoice that was 6.4x his projection. The system was a 'multi-agent crew of specialists' that the vendor pitched as the next-generation upgrade from his single-agent chatbot. The accuracy lift was 4 percentage points. Here is how Sapota decides when multi-agent is worth its real cost.
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Marketing CloudMar 19, 2026
Banking client's morning file arrived with 50 rows instead of 10,000. Automation sent reminders to those 50 and skipped the other 9,950. Verification Activity is the check that would have stopped it.
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RAG SystemsMar 18, 2026
A founder forwarded an email from his CFO three days before a board meeting: 'before we approve the AI budget, can engineering give us a number for accuracy?' The team had no number. They had vibes. Here are the three Ragas metrics Sapota ships before any RAG system goes to production.
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AI AgentsMar 12, 2026
A founder asked us why his AI assistant kept forgetting the user's name between messages. The team had followed a tutorial that called the API in a loop. Nobody had told them that LLMs are stateless and that 'memory' is something the system has to engineer outside the model. Here is the layer most teams discover the hard way.
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RAG SystemsMar 11, 2026
A team came to us frustrated that their semantic search was missing exact product codes like 'GPT-4o' even though those tokens appeared in the indexed content. The fix was a single config change. The reason most teams skip it is the same reason most teams ship vector-only search in the first place.
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