Clarice
Copy & narrative lens
Consensus Engine Your AI Strategy Sprint
Decision clarity when the stakes feel heavy
Consensus Engine Your AI Strategy Sprint
When a decision is big enough to keep you up at night, you need more than one opinion and a gut check.
Most AI tools give you one very smart answer and hope that's enough. Consensus Engine runs a coordinated research process that looks at your question from multiple vantage points, lets those perspectives challenge each other, and hands you back a calm, cited brief you can actually act on.
Always-on research partner. Synthesizes data, surfaces insights, delivers briefs for confident decisions.
Who it's for
Founders and operators without a research team who still need research-level clarity on pricing, pivots, positioning, or other moves that change the shape of the business.
Cited briefs, not mystery answersYou still make the call
Not just "more AI"—a different vantage point
Most tools give you one model with a single vantage point. Consensus Engine brings several specialized lenses to your question—copy and narrative, numbers, legal and compliance, and future modelling—then synthesizes what they find into one decision brief. You see options, evidence, tradeoffs, and a recommendation, not just a confident paragraph.
- Several perspectives weigh the same decision, then synthesize a recommendation.
- Transparent reasoning and tradeoffs you can push back on.
- Reusable context so follow-up questions get sharper over time.
You're not handing your toughest calls to a mystery lab. Consensus Engine is built by an independent founder who has spent years training and evaluating frontier models—and who still has to live with the consequences of his own decisions. We start with one big question and earn your trust from there.
Pricing at a glance
$497/mo for up to 4 research queries.
Every free 30-minute consultation comes with one Consensus Engine research brief on a reasonable strategic question, so you can see the process before you ever pay for a plan. Many clients then move to a single, fixed-price research question or a monthly subscription. LGBTQ-owned businesses receive 25% off upfront project fees on approved scopes; subscriptions stay at standard rates. If this level of clarity would materially change your trajectory but the price is out of reach, email about our annual Consensus Engine grant slot.
PROPRIETARY
Consensus Engine Your AI Strategy Sprint
Exclusive to Bespoke Ethos clients
Meet the four fine-tuned researchers that cross-verify 1,000+ sources before you ever see a recommendation.
4 AI Agents1000+ SourcesSuperhuman Speed
Got a big question? Get real answers.
Our proprietary research sprint analyzes 1000+ sources at superhuman speed—SEC filings, patents, journals, tax regulations, and more—then delivers one actionable brief with citations.
4 Specialized AI AgentsLive Web SearchDeep Archives
You Ask
Any business question. Pricing, automation, marketing, compliance-anything.
We Research
4 AI agents independently analyze 1000+ sources, then cross-verify findings.
You Decide
Get one cited, actionable report. Make your call with confidence.
Free With Your Consultation
Every 30-minute consultation includes one free Consensus Engine brief
(Normally $79.99 Ask any business question)
Get Answers Book Free Consultation
30 minutes Zero pressure One free research report
Meet the four research lenses inside the Consensus Engine
Each run brings these lenses to your question, then synthesizes what they find into one calm, cited brief.
Brutus
Finance & numbers lens
Astrid
Legal, tax, & compliance lens
Ember
Future modeling & predictive lens
Case study: Consensus Calendar for Cleveland's LGBTQ+ community
Built for real stakes, not lab demos.
In Cleveland, there wasn't a single, trustworthy place for queer folks to see what was happening this week. Events were scattered across Instagram posts, flyers, and half-updated websites—which meant people often heard about shows and meetups only after they were over.
We turned that into a Consensus Engine problem. Three AI research agents went on independent sprints to find and verify events. Each agent knew it was competing with two others, would lose points for hallucinated or outdated listings, and would earn bonus points for catching bad data from the others. A simple scorecard—verified events, faulty events, unique finds—kept the game honest.
After several rounds, we promoted the winner's findings into a verified feed and manually spot-checked the riskiest entries. The result is Consensus Calendar—a Cleveland LGBTQ+ social calendar hosted on this site and updated on a quarterly cadence so people can actually find each other instead of guessing where to go.
What a Consensus Engine run actually looks like
Under the hood, Consensus Engine walks through your options side by side, shows the evidence each lens leaned on, and explains why the recommended path makes sense. Instead of a single verdict, you get a structured outline of: options, supporting facts, tradeoffs, and a clear "if this, then that" recommendation.
- Your question in plain language, plus any constraints we agree on.
- Several perspectives—story, numbers, legal, and future—summarized separately.
- A synthesized recommendation with citations you can check.
A few questions I’d ask before trusting an AI with big decisions
Answered by Upton, founder of Bespoke Ethos.
Why did you build AI Research Assistant?
Because some questions deserve more than a hunch and a single AI answer. I kept running into decisions in my own work where "it depends" wasn’t good enough—pricing changes, product kills, market pivots. I didn’t want another chatbot; I wanted something that could surround a question from multiple angles, argue with itself a bit, and then hand me a calm, cited brief I could actually act on.
Isn't this just "more AI" or a fancier chatbot?
No. A chatbot is built to talk to your customers in real time. AI Research Assistant is built to talk to your hardest questions. Under the hood we still use modern models, but the value is in how we frame the question, where we pull evidence from, how we let perspectives disagree, and how we package the output. It’s closer to a tiny research desk than anything you’d embed on a website.
Who is AI Research Assistant actually for?
Founders and operators who feel the weight of big decisions and don’t have a research team on payroll. If you’ve ever thought, "I wish I had two or three very smart, very honest colleagues to talk this through with," you’re the person I built this for. It’s not for trivial "what should I post today?" questions—it’s for the calls you lose sleep over.
How does this compare to something like a Bloomberg terminal?
A Bloomberg terminal gives you towering vantage points on markets and instruments if you know how to drive it. AI Research Assistant borrows that spirit—a focus on vantage points and receipts—but points it at your specific question instead of a generic feed. You bring the context of your business; the engine brings structured options, tradeoffs, and cited evidence so you’re not guessing in the dark.
How do I know I can trust the output?
First, you get citations and reasoning, not a mysterious verdict. You’ll see where ideas came from, what each perspective leaned on, and where they disagreed. Second, we start small. Most clients come in with one big question, review the brief together, and decide whether the way we think fits how they want to run the business. You still make the call—AI Research Assistant just makes it a lot harder for blind spots to hide.
Is there any grant access if I truly can’t afford this?
Yes. I keep one standing grant each year for up to four AI Research Assistant research queries. It’s reserved for founders and organizations who genuinely need this level of clarity but can’t reasonably fit it into the budget right now. There’s no fancy application—just email me, tell me what you need my tech for, and if I think we’re a fit, we’ll make it happen. I know this level of research doesn’t come cheap—and I also know it’s underpriced for what it can do when you point it at the right questions.
Want the nerdy version?
Curious how Consensus Engine turns one big question into a calm, cited brief without being a pile of prompts?
Ask for the Consensus Engine technical brief