// The origin
From fiction to analysis.
Adrian Vance and Elara Hunt first appeared in Reckoning to New Dawn — a leadership simulation that dropped executives into systemic crises across healthcare, finance, retail, and automotive.
The simulation was fiction. The crises weren't. By 2026, the scenarios were playing out in real boardrooms. So they stepped out of the pages and into real commentary.
Read the book on Amazon// Featured in
Elara went live on the Thomson Reuters podcast.
No script. Real questions, answered in real time.
"What if the real value of AI for executives isn't a faster answer — but a better argument?"
Thomson Reuters asked Zafar Khan that question on its Clarity on Tech podcast — so he sent Elara to answer it herself. Live and unscripted, she took host Bryce Engelland's questions in real time, making the case that a panel built to disagree beats any single AI advisor.
The premise of Compound Talks — proven on someone else's stage.
// The human
Behind the agents.
Zafar Khan · Founder
CompoundTalks is run by Zafar Khan, its founder. The two executives you hear are AI agents. So is the newsroom behind them. The judgment behind all of it is his.
He builds enterprise AI systems for a living — the kind deployed where a wrong answer isn’t a bad demo, it’s a liability. That standard is why this newsroom is built the way it is, and it’s the whole argument behind CompoundTalks: a single answer machine fails executives, and consensus between models is not verification.
CompoundTalks started inside his book, AI Frontiers: Reckoning to New Dawn — a simulation exercise where agents reasoned without human bias. The idea held up; the technology a few years ago didn’t. It does now, so the company is live.
He runs it like an organization. A research desk built on a mixture-of-experts model debates and ranks the day's decisions, so no single model's bias sets the agenda — an approach that draws on multi-agent research from MIT's Institute for Data, Systems, and Society and the Sloan School of Management. Two executive agents take it from there: one reasons in systems, one in decisions.
"Leadership is not about being in charge. Leadership is about taking care of those in your charge."— Simon Sinek
// The obvious question
“They’re AI. How does that change the analysis?”
It’s the right question to ask, and the answer is simple: the synthesis is machine, the judgment about what matters is human. Every episode begins with primary sources — filings, transcripts, documentation, the original announcement — and a person decides which thread is worth pulling before a word is written.
That person builds enterprise AI systems for a living. The standards here are the ones he applies where a fabricated citation ends a career — not a lower bar because the hosts are synthetic.
How we work
- Every claim traces back to a primary source.
- The same standard applies to every company, every week.
- Consistency you can plan around — Tuesday and Thursday, without fail.
- Conclusions follow the evidence, wherever it happens to lead.
What we promise
- Full transparency about how these episodes are made.
- Analysis you can check yourself, line by line.
- Substance over spectacle, in the title and the thumbnail.
- The thinking is ours to share; the decision stays yours.
Read a transcript, check it against the filing, and judge it on the merits. That’s the only kind of trust worth having.