For brokers placing seniors in assisted living, rather than a web form framework, made the capability to let user take notes on paper and then AI crunches that into results of a web form.
ENTERPRISE AI
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SaaS Data Ingestion Challenges Solved by Modern AI Tools
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Ingestion: Particularly at onboarding time, SaaS founders have an issue with "You possibly have data, perhaps dirty, fragmentary, or in almost purposely perverse formats. I would like to crush it into a defined database format." Ingestion has gotten much better because modern…
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AI Categorization Models Replace Manual Tagging and Taxonomy Work
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Categorization: We've had tag clouds and taxonomy for forever. Historically, lots of manual work pushed to user, to outsourced teams, or (for very large companies) custom-built models. Now categorization models are trivial, scale to the moon, and liberate people from this work.
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AI-Assisted Generation Still Searching for High-Value Use Cases
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Rob: AI-assisted generation is still in early stages. Saving someone 2 minutes isn't interesting. Saving someone a day is. We don't seem to have good patterns for where it is *actually* unlocking excess value yet, but many companies doing e.g. auto-generated notes on calls, etc.
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Top Six In-Product AI Usage Patterns From Chat to Agentic
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In-product usage #1: "Chat" / conversational interface
#2: Generation
#3: Categorization
#4: Ingestion
#5: Analysis
#6: Agentic interfaces (MCP / CLI) -
eBay AI Falls Short on Structured Data Automation
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Rob's example: eBay's AI integration will spin a paragraph of text for an item you're listing, like a boardgame, but won't do "Take a photo of the object; we'll fill in the 30 structured data form fields you need to successfully sell something on eBay."
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Chat Interface Overused as AI Integration Model Says Expert
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Chat interface has overinfluenced builders. Just because it is traditional and relatively easy to spec out doesn't mean it is the ideal way to integrate into existing/wider software suite.
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Deploy Features Without Hardware for Maximum Availability
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The ability to deploy new features without installing hardware enables faster scaling and maximum availability.
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How Bootstrapped SaaS Companies Are Deploying AI in Production
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Rob did informal survey of a few hundred TinySeed companies (he runs a VC/accelerator which invests in many bootstrapped-adjacent software companies) to see how its actually getting deployed in production. Taxonomy: six-ish ways that companies actually metabolizing it.
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Rob Walling on Using AI in SaaS at MicroConf
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Next up at MicroConf: @robwalling on How to use AI in SaaS. This has been something of an undercurrent in a lot of conversations here. Lots of unease and anxiety about it, and IMHO a bit overblown w/r/t impact on SaaS specifically. With that, Rob: