Your business runs on knowledge nobody wrote down
Everform turns that fragile knowledge into workflows AI can actually run — drafted by Eve, scored against structure, and proven with evidence before anything earns autonomy.
Cloud canvas·Local CLI·Your data stays yours
Workflow Architecture Intelligence: unstructured data and hidden organizational knowledge, turned into workflow architecture that is legible for AI and built to earn its way to production. Eve asks where your work breaks, slows down, creates risk, or consumes attention. You answer with the context you already have — transcripts, documents, exports, things told but never written down. An illustrative saturation model tracks eight criteria (identity and purpose, operating model, tools and systems, recurring work candidates, bottleneck and consequence, current-state process, authority boundary, source confidence) until Eve can draft with assumptions — no live connectors involved.
Your words in. Eve drafts the architecture. A bottleneck described in plain language becomes a structured, inspectable workflow, with every gap flagged honestly before anything runs. Every step scored against structure. Zero to one hundred. No vibes. Twelve structural criteria from the scoring engine, weighted and deterministic. Structural readiness shows where the architecture is sound — execution evidence earns the rest — and exactly where the points went. Eve prescribes how each step should run. Deterministic script, guided form, creative draft, human call, formal handoff, or autonomous agent. Per step, with governance attached, never one-size-fits-all. Evidence climbs the ladder. Autonomy is earned, not assumed. Sandbox proves it runs, not that it is worth running. Every claim stays labeled until the run history exists — the climb below is the model, illustrated. The example workflow scores 76of 100 against the twelve structural criteria, and each of its eight steps receives a paradigm prescription. The production-readiness ladder then climbs five stages — estimated, simulated, sandbox, pilot, production — with honesty labels (claimed, tested, earned) at every stage. All figures are illustrative; the interactive step nodes below can be opened for each step’s purpose, assumption, suitability, and consequence.
One reasoning agent reads every lead — routine or not. It works. It also spends €1.20 on cases a lookup could settle. Keep this in draft.
Step 03 decides quality. I prescribe deterministic enrichment plus a small model for routine leads — a stronger model only when the lead is uncertain or high-value.
Sandbox runs prove the routing. Booking and error thresholds hold. Human approval stays before every send.
Example workflow, illustrative scores, honest labels · Interactive illustration — not customer results.
the loop · 01 rewind
The last act ended with v8 earning production. Rewind — this is how it got there. One reasoning agent reads every lead: €1.20 each.
the loop · 02 the temptation
−63% per lead. Bookings collapse below the guardrail, complaints triple. The spreadsheet smiled. The business did not.
the loop · 03 eve’s counter
Deterministic enrichment. A small model for routine leads. Escalation for uncertainty. Approval stays human.
the loop · 04 evidence first
Replay 1,000 · sandbox 100 · independent review · a 10% canary. Dashed = not yet run at this point of the story.
the loop · 05 your call
Promote v8 or return to v7. Either way the history is kept — the system never forgets a version.
The illustrative canary matches the estimate. Your call:
Interactive illustration — not customer results.
Illustrative case, not customer results. Current v7: €1.20 per lead, 8.0% booking, 1.0% complaints. The cheapest candidate cuts cost 63% but breaks the booking and complaint guardrails (5.5% booking, 3.5% complaints). Eve's hybrid v8: €0.72 per lead (−40%), 8.4% booking, 0.8% complaints — numeric guardrails hold, PII remains unverified. Human approval before sending stays. No increase in send authority. Evidence plan before exposure: baseline, replay of 1,000 historical leads, sandbox of 100 redacted cases, independent review, then a 10% canary. The decision below promotes v8 or returns to v7; either way history is retained.
Organizational learning
Every run’s evidence is captured and kept in your organization’s memory — nothing your business learns is lost. The ratchet turns one way on memory: scores can still fall when reality disagrees, but the evidence they stand on never shrinks — and it compounds into sharper scoring and prescriptions.
the climb below — illustrative, not a customer result
One brain, two surfaces
Eve's intelligence runs in Everform's own stack, never a hosted agent runtime. The cloud canvas renders her for operators. The CLI renders her for builders, local and private.
Eve at the center, the live constellation, approvals, evidence, and memory. The full product experience in the browser.
Illustrative canvas preview: a workflow constellation with per-step scores, an estimated-onboarding stage chip, and Eve at the center — not a live account.
The full engine beside your repos and files — local, private, and scoring is deterministic, no model call needed to get a number.
Illustrative terminal session: the eve CLI ingests context, drafts the same workflow, and prints deterministic scores with the same honesty labels as the canvas.
Same scoring engine. Same governance schema. Same process memory. Two renderings of one brain.
Proof, not promises
who runs on it
Deveras and CommitGate — both owned by the founder — run their operations through Everform. They are dogfood pilots, not customers, and we say so.
what actually runs
The scores in the story above are illustrative, and labeled as such. Real workspaces score through the deterministic 12-criterion structural engine — the same code path our own pilot workflows run on production infrastructure.
why you can trust a number
Structural scoring makes zero model calls: 777 lines, weighted criteria, the same input always scores the same. Model-driven judgments stay labeled as estimates until run evidence exists.
Customer results will earn their place here with the same evidence labels — nothing on this page is one. Step into the Evidence Room →
The constellation
Not an org chart. Not a folder of automations. A system that runs, learns, and compounds, with Eve at the center. It is about to appear.
Your constellation
Feed Eve what you know. Watch your first workflow get drafted, scored, prescribed, and tested, before you trust it with anything real.
Cloud canvas·Local CLI·Your data stays yours