What Ships On Day One

Turn recordings — or PDFs, or a folder of screenshots — into a real manual

• Upload a screen recording and it starts working automatically; no separate “start” step, no manual frame-picking.
• Don’t have video? Upload a folder of screenshots, or an existing PDF procedure — same pipeline, same polished result, no re-recording required.
• Built-in quality checks catch blurry, dark, or unusable footage before you waste time waiting on a bad source.
• Pick the document type that matches your industry — IT operations, construction, healthcare, and more — and get terminology and structure that actually fits, not a generic template stretched to cover everything.
• The final manual is a professional, multi-sheet document with the right screenshot next to every step — ready to hand to a new hire, not a raw AI transcript to clean up.

Manuals that read like a person wrote them, not like a machine transcribed them

• Repetitive, near-duplicate steps collapse into a clean, chronological list — no “click next” repeated eleven times.
• Long procedures get organized into logical sections with real headers, following how the work actually flows (setup → execution → verification), not arbitrary breaks.
• Available in multiple languages out of the box, so global teams get consistent documentation regardless of which office recorded the source video.
• An admin-facing tuning workspace lets your team preview, on real sample footage, how a document will be organized before committing to a full production run — no guessing, no wasted reprocessing.

Compliance rules your team writes in plain English — enforced the same way, every time

• Type a rule the way you’d explain it to a new employee; it becomes a repeatable transformation that runs identically on every document, forever — not a suggestion the AI might follow differently next time.
• Choose, per rule, whether it applies silently and automatically or waits for a human to approve it — no black-box confidence guessing.
• Review every proposed and auto-applied change in a visual before/after before anything ships — accept, reject, or revert with a comment.
• Rejected changes and reviewer comments feed back into the rule, so it gets more accurate to your organization’s vocabulary over time.
• Rules are organized and versioned so large enterprises can manage hundreds of standards without hand-mapping each one, and promoting a rule to production is an explicit, logged decision — never an accidental swap.
• Bulk-cleanse an entire backlog of legacy procedures against your current standards in one pass, instead of one document at a time.

A conversational assistant that actually gets things done

• Ask questions in plain language and get answers grounded in your real, live data — not generic text.
• Go beyond Q&A: trigger real actions from the conversation — check status, kick off a job, generate a manual — and follow up in context without repeating yourself.
• Remembers the conversation and draws on what worked well in similar past requests to respond better over time.
• New assistant capabilities can be added through configuration by your own admins — no waiting on an engineering release.

Turn a one-time recording into a skill your team can run again and again

• A procedure captured once becomes a reusable, versioned skill — not a document that goes stale the moment the interface changes.
• When the underlying screen or workflow changes, the skill adapts instead of silently breaking or producing a wrong manual next time.
• Failed automated runs turn into reviewable, actionable lessons — not just an error in a log nobody reads.
• Repairs and fixes made once are documented and reusable, so the same class of problem doesn’t have to be solved from scratch on every similar case (broader automatic reuse across different apps is on the roadmap).
• A visual health view shows the success rate, trustworthiness, and status of every skill your organization runs — one place to know what’s working and what needs attention.

Verified proof for every autonomous run — not just a claim

• Every automated or agent-run task leaves behind a verifiable record of what actually happened on screen — not just a self-reported “done.”
• Get a clear, plain-language verdict for each run — correct, incomplete, or something that needs a human look — plus a machine-readable version any system can act on automatically.
• See exactly which facts and rules influenced a given run, so trust in automation is earned through visibility, not blind faith.
• A dedicated executive view shows overall system health at a glance — stable, degrading, or needs attention — instead of a wall of raw logs.

A knowledge base that gets smarter, not just bigger

• The system remembers what it has learned from evidence across every run — and lets your team ask it directly what it currently knows for a given business area.
• Knowledge that’s contradicted by newer evidence gets flagged and downgraded — old facts don’t sit around pretending to still be true forever.
• Subscribe to be notified the moment new, relevant information shows up — no manual checking required.
• Low-value or unused knowledge gets flagged for cleanup instead of quietly bloating the system forever — with a human always in the loop before anything is removed.
• Package up a business area’s mission, its best-proven procedures, and clear usage guidance into one shareable file — ready to hand to another team or another system as a starting point instead of a blank page.

Automation that scales without rebuilding everything for every workflow

• Reasoning tasks (deciding, summarizing, drafting) and hands-on action tasks (clicking, filling, submitting) are handled as separate, reusable building blocks — so one doesn’t have to be duplicated every time the other changes.
• A completed step can automatically hand off to the next one in a chain — with the right values filled in fresh every time — instead of requiring a person to manually re-trigger and re-type each stage.
• The same action doesn’t need to be cloned for every workflow that wants to use it — it can be reused across many different chains without copy-pasting.
• Run your automation on our infrastructure, or on a machine inside your own network — the same verification, screenshots, and audit trail either way, so the choice is about where it runs, not what you get.
• The same “watch, decide, act” approach that drives on-screen automation also extends to physical/operational triggers (roadmap — flagship pilot stage), for teams whose work isn’t confined to a browser tab.

Governance and access control that hold up to scrutiny

• Every account is protected against repeated break-in attempts, with administrators able to see and manage lockouts without digging through logs.
• Role-based access means people only see and touch what their job actually requires — admin, editor, or viewer, enforced consistently, with no privileged bypass.
• Multi-client and multi-team deployments are fully walled off from each other — one client’s data, rules, and knowledge never leak into another’s, by design.
• Choose where different workloads run — enterprises can keep sensitive processing on infrastructure of their choice while still running the same governed pipeline.
• Full audit trail: every rule application, every login event, every account change is logged for review, retro, or compliance.

Visibility and control for the people running the platform

• A live view shows every job’s position in the pipeline — from upload to finished manual — so nothing silently gets stuck.
• Administrators can reprioritize, restart, or reset a stuck job without asking anyone to re-upload anything.
• A full REST API exposes the entire lifecycle — authenticate, upload, monitor, generate, download — for teams who want to build their own integrations on top.
• Deploy in the cloud, in a private network, or fully on-prem, with the same governance and audit trail in every mode.