What’s wild is how many unexplored AI Agent products are just sitting inside AI models today. These models pack enough intelligence to support most workflows. They just need someone with domain expertise, the right prompt, data for context, and UX to unlock the use case.
Health system profit margins have been tight for decades.
Companies like @the_superbill are working tirelessly to improve revenue cycle efficiency so these organizations get paid more quickly with less administrative overhead.
Patients across the country rely on these systems for care - this bill is an opportunity to embrace efficiency and come through stronger than ever.
AHA President and CEO on Senate passage of One Big Beautiful Bill: “The real-life consequences of these nearly $1 trillion in Medicaid cuts – the largest ever proposed by Congress – will result in irreparable harm to our health care system. We urge the House to mitigate this legislation and protect access to health care for patients and communities. ” https://t.co/pJgvq6Pja5
+1 for "context engineering" over "prompt engineering".
People associate prompts with short task descriptions you'd give an LLM in your day-to-day use. When in every industrial-strength LLM app, context engineering is the delicate art and science of filling the context window with just the right information for the next step. Science because doing this right involves task descriptions and explanations, few shot examples, RAG, related (possibly multimodal) data, tools, state and history, compacting... Too little or of the wrong form and the LLM doesn't have the right context for optimal performance. Too much or too irrelevant and the LLM costs might go up and performance might come down. Doing this well is highly non-trivial. And art because of the guiding intuition around LLM psychology of people spirits.
On top of context engineering itself, an LLM app has to:
- break up problems just right into control flows
- pack the context windows just right
- dispatch calls to LLMs of the right kind and capability
- handle generation-verification UIUX flows
- a lot more - guardrails, security, evals, parallelism, prefetching, ...
So context engineering is just one small piece of an emerging thick layer of non-trivial software that coordinates individual LLM calls (and a lot more) into full LLM apps. The term "ChatGPT wrapper" is tired and really, really wrong.
Thanks to Heather Landi and @FierceHealth for spreading the word about SuperDial's Series A and the work we're doing to automate healthcare's billions of tedious administrative phone calls
Superdial raises a $15M Series A led by @SignalFire and we hosted @sam_schwager (Co-founder & CEO) on the show.
"Our core is handling phone calls between RCM (Revenue Cycle Management) companies and the billing teams within providers, or outbound calls to insurers."
"There are billions of these calls, a huge high volume use case, but fewer companies addressing it."
Forget AI agents, AI orchestration is the next battle. @sam_schwager is already seeing this happen with SuperDial's customers.
Much of healthcare still relies on phone calls and even fax machines, but that's going to change. We all know that.
The real opportunity isn’t just automating calls, it’s reimagining how information flows.
Eventually letting AI agents handle the entire process, which will require an entirely different infrastructure stack but SuperDial is ahead of the game.
SuperDial is a prime example of an “AI cherry-on-top” company: the pain point existed long before LLMs, but now, with AI, the solution has scaled.
Most importantly: it’s saving customers real money.
Really excited to triple down on Superdial in their $15 million Series A led by @SignalFire.
Superdial is helping providers and insurers automate phone calls. Eventually it can flip to a network model and obviate voice calls altogether.
That work is just beginning.
Superdial was founded by Sam Schwager and Harrison Caruthers who are exceptionally gritty, high velocity, high agency. They’ve become great leaders and it’s been super fun to have a front row seat.
They are hiring across engineering, sales, and design for their NY-based team.
SuperDial, founded by @sam_schwager and @hrrsn__crthrs, announces its Series A, to tackle the reason your doctor can’t see you right away: they’re buried in admin work and burnt out from fighting insurance.
Doctors at a major US insurance company deny tens of thousands of claims a month without even looking at patients’ files.
“We literally click & submit,” a former Cigna doctor told @ProPublica & @Capitol_Forum. “It takes all of 10 seconds to do 50 at a time.”
The inside story 🧵