HOW WE WORK
FutCo works from a shared-cognition ledger: an evidence-linked record of the relevant inputs, model contributions, disagreements, decisions, and outcomes behind the work. Multiple models help challenge assumptions, while people remain responsible for judgment and decisions. Every recommendation in an Audit or Sprint comes from practices and tooling used daily to run FutCo and E3D — not slideware.
Status labels distinguish what runs today from work still being evaluated:
THE SHARED-COGNITION WORKFLOW
The workflow keeps context, competing views, human decisions, and results connected. Governance, review, and approval controls support the process; models contribute perspectives and evidence, but people remain accountable for judgment and decisions.
Retain — shared-cognition ledger
LIVEDurable working context
Challenge — multi-model debate
Evidence-linked perspectives
Record — decisions and outcomes
LIVEHuman accountability and learning
Trace — emerging provenance graph
EXPERIMENTALEvaluated, read-only, and incomplete
BEYOND E3D
The shared-cognition workflow can span several company systems: e3d-corp records governed opportunities and decisions, specialized systems execute approved work in capital, build, and content, and E3D supplies domain evidence. The ledger keeps their context and handoffs connected without treating any model or system as the sole source of truth.
For a client, the relevant evidence may come from CRM, documents, email, ERP, transaction history, support tickets, and internal knowledge. The pattern is the same: retain useful context, challenge interpretations against evidence, keep people accountable for decisions, and record outcomes so later work can learn from what happened.
CURRENT EXPERIMENT
e3d-trade already ran continuously against live E3D signals in paper mode on its own judgment — five agents propose, deterministic code enforces every risk limit, real order submission stays off. That's still true. What's new: e3d-corp can now turn live E3D evidence into an investing Opportunity, draft a capital_mandate Proposal, require a human decision, and hand the approved mandate to e3d-trade — tagged and traceable end to end back through the same event log. We've stood up two identical paper books trading the same live signals over a predeclared window against a BTC-hold benchmark: one operates under an active governance mandate, the other doesn't. That comparison is running now, on simulated capital.
The rule was fixed before the link went live: e3d-trade exercises only the authority e3d-corp delegates to it, and a mandate can only tighten e3d-trade's own risk limits, never loosen them. We're not assuming governance improves autonomous systems. We're measuring whether it does — on paper capital, against a predeclared benchmark, before this touches anything real.
THE MACHINERY UNDERNEATH IT
These models, context services, build tools, and interfaces support the shared-cognition workflow and the company systems that act on approved work.
Models are interchangeable compute, chosen for capability, privacy, latency, and cost — not brand loyalty.
THE TRUST LAYER
e3d-corp allocates authority. Specialized systems — trading, building, publishing, and whatever comes next — exercise only what's delegated to them, nothing more. An execution system never inherits unlimited authority just because it can reason well; every arm answers to the same rules.
PROOF THAT IT RUNS
"We run this ourselves" should be checkable, not just asserted. Every row below links to the real thing — a live product or a public repo, not a screenshot.
Runs FutCo's own opportunity pipeline — research, score, propose, human decision, action, outcome.
View on GitHub ↗Proposes work, gets multi-model and human approval, and opens draft PRs across FutCo's repo fleet.
View on GitHub ↗Built this website, phase by phase, from a written spec.
View on GitHub ↗Cycles continuously against live E3D signals with deterministic risk enforcement, real orders off.
View on GitHub ↗A capital_mandate proposal, action, and outcome webhook now connect the two — running a live governed-vs-ungoverned paper-trading experiment.
Read the experiment design ↗Turns audio or a transcript into a finished, published video — a paid production service, not a demo.
Visit cast.e3d.ai ↗On-chain navigation intelligence, live today at maps.e3d.ai.
Visit maps.e3d.ai ↗WHY THIS MATTERS TO CLIENTS
We operate the same patterns ourselves: give AI enough context to reason, constrain what it can do, separate decision-making from execution, log what happened, measure the result, and expand autonomy only when the evidence supports it.
A client doesn't need FutCo's exact repo stack. The pattern underneath it is reusable.
"Measured outcome" is doing a lot of work in that diagram. Not every outcome is worth the same thing — here's how we tell captured value apart from activity that only looks like progress. How Value Flows
That's the shape of an Audit or Sprint: find the decision, put a human gate in front of the consequential step, delegate the rest to the system built for it, and measure what happens. AI Opportunity Audit · AI Business Upgrade Sprint
An AI Opportunity Audit finds the workflows in your business where this kind of leverage — decision, delegation, measurement — actually applies.
