You can’t see it, but you can feel it. It’s the question nobody can answer in week three. It’s the detail a client mentioned once, on a call, to someone who has since moved on to the next project.
We call it the ghost in the handoff. It isn’t a person and it isn’t a tool. It’s context. The reasons behind the work. And it quietly leaves the room every time a job passes from one set of hands to the next.
One request, told four times.
Picture a simple ask. A client tells your sales lead they want a quarterly report their finance team can actually use. Sales writes a summary for the project lead. The project lead turns it into a brief. The brief becomes a ticket. The ticket becomes a prompt for an AI tool.
Every step is reasonable. Every person did their job well. But by the time the work reaches the AI, it’s hearing a version of a version. “Something finance can actually use” has become “make a quarterly report.” The what survived. The why didn’t.
The ghost has a few favorite rooms.
Context rarely disappears in one dramatic moment. It slips away in small, ordinary places, the kind nobody thinks to check.
- The call nobody wrote downDecisions made out loud, remembered by one person, and never captured anywhere the team can find them.
- The summary of a summaryEach retelling keeps the task and trims the reason. After a few rounds, only the task is left.
- The tool that starts from scratchAn AI that only sees the ticket will answer the ticket, not the need behind it.
- The person who moved onWhen the one who knew the backstory leaves the project, the backstory usually leaves with them.
Context shouldn’t disappear at the handoff.
Open by Design
AI makes the ghost louder, not quieter.
AI is very good at answering the question in front of it. That’s exactly the catch. An AI only knows what’s in front of it when it answers you. Give it a thin brief and you’ll get a confident, polished, thin answer.
As teams add more tools and more steps, they also add more handoffs. Each one is another chance for the why to slip away. None of this is a people problem or a tool problem. It’s a question of how the work is connected.
There’s a reason the biggest names in AI are now sending engineers into the room. This year AWS, Anthropic, OpenAI and Google all started building teams of forward deployed engineers, people who sit with the team doing the work and hear the request firsthand. They’re betting the hard part isn’t the AI. It’s keeping the why attached to the work.
Clear the house, one handoff at a time.
You don’t need a big overhaul to start. You need a few habits that keep the reasons attached to the work as it moves.
- Write the why firstBefore any brief or ticket, add one line on what the client is trying to achieve. Everything else can follow.
- Pass on the source, not just the summaryLink the call notes or the original email so the next person can hear the request in the client’s own words.
- Give AI the same context your people getIf a new teammate would need the background, so does the tool. Better context, better answers.
- Put an engineer in the roomWhoever builds your AI should sit with the people doing the work and hear the request firsthand, not a retelling of it. That’s the idea behind forward deployed engineering.
That’s what we build at Waifinder. AI that’s connected to how your work actually gets done, so people and tools work from the same context and the reasons travel with the work.
It’s also how we build it. One person from our team owns your problem from the first conversation through delivery, and our engineers build around how your team really works. The why never has to survive a handoff, because the people building your AI heard it firsthand.
- No black boxes
- Everyone in the loop, from day one
Happy Halloween from all of us at Waifinder.