Inconsistency is the top reason AI tools get abandoned, so we engineered against it twice. Heavy document and spreadsheet work runs through purpose-built tools (OCR for PDFs, a real spreadsheet engine for Excel) that produce the same result every run instead of asking the AI to re-derive it. And every agent our engineer builds is tested before it's handed off: delivered working, not delivered promising. Nothing is hidden when output drifts. Every agent's instructions are readable by your team, and tuning happens in plain conversation.

Either we do, or our AI helpers walk you through it. There is no blank canvas here. Book a call and your engineer designs and builds the first agent around your actual workflow, connected to your real tools. Or build it yourself: it's a conversation, not a flowchart editor, and no developer is required. Either way, the tokens spent building and tuning with the helpers are never billed to you.

One number on your bill: your plan's flat monthly price ($99 to $999), which covers a bundle of AI work at typically pennies per task. Every model's real per-task cost is published on our model catalog. You can set a hard dollar cap in-app: when you hit it, no new work starts. No seat fees, no per-connector fees, no opaque credit packs. And building your agents never draws from the bundle, so you're not paying to learn.

Over 120 integrations are included: email, HubSpot, QuickBooks, Azure DevOps, and the rest of the usual stack. If the system you rely on isn't on the list, that's not a dead end. Your Dedicated Engineer builds a custom integration to any system with a public API, included in the flat $999/mo and never sold back to you as change orders.

Yes, and not by brute force. Most agents push the entire file through the AI and pay tokens for every page, every run, with slightly different answers each time. skillfaber agents hand files to purpose-built machinery: OCR for PDFs, a true spreadsheet engine for Excel, a document engine for Word. A fraction of the tokens, and the same result every time. Even AI models that can't read PDFs natively handle them here, because the tool does the reading.

Agents don't rot in the dark here. The tune helper reads your agent's actual output with you and helps you evolve the role in plain conversation, with no developer and no prompt-engineering degree. Every agent keeps a readable record of how it's configured and why, so nothing depends on the memory of whoever set it up. And if you'd rather not touch it at all, re-engage your engineer for a month whenever something needs real work.

You own everything. Every agent is a readable configuration in your workspace: instructions, connections, model choice. Never a consultant's black box you can't open. Stop paying for the engineer and nothing happens to your agents: they keep running and billing drops to plain usage. The handoff isn't an exit fee waiting to happen; it's designed in from day one.

Dedicated Engineer subscribers have a named engineer who already knows their setup: the same person from the weekly working sessions, not a ticket queue. And everyone reaches humans through the form below; it goes to people who respond, not into a void. (The chat on this page is one of our agents, and when it can't help, it says so and points you to a person rather than pretending.)

Only if it pretends to be human. People forgive a robot for being a robot; they don't forgive it for pretending. That's why customer-facing agents introduce themselves as automated, and you decide per agent when a human must approve an action or take over the conversation. Judge it live: the chat bubble on this page is a skillfaber agent doing exactly this job.

Tell them what we build: agents take over a role's busywork, not the role. The bookkeeper stops re-keying receipts and keeps the judgment calls; the coordinator stops chasing status updates and keeps running the project. In a small team, taking the drudge work off the person doing three jobs is a gift. Rolling it out honestly, with your people tuning their own agents, is what makes it stick.

Your data lives in a locked-down AWS environment and is never used to train AI models. For nearly every model in the catalog, the AI provider never receives your data at all. These protections are backed by AWS Bedrock's own service terms and inherit AWS's compliance certifications (SOC 2 Type II, ISO 27001). Security specifics for your industry are exactly what the first call is for.