Step 1
Call
Walking to the car, between calls, on the platform. You dial your assistant the way you'd call a colleague to say how it went.
Strategy + Innovation.
Built by Hayloft
Postgai.me is a voice AI debriefer that Hayloft designed, built, and has run in production since April 2026. Call it when you walk out of a meeting and talk through what happened. A structured summary lands in your inbox before you've reached the next thing. Nothing joins your meeting and nothing records it — the call happens afterward, with you. We built it for our own advisory work, then opened it to everyone — the short version of how we work.
The problem
Most meeting tools solve for transcription. They put a bot in the room, record everything, and hand back a wall of text that is technically complete and strategically empty. What they miss is the part that only exists in your head for about fifteen minutes afterward — who was actually deciding, what went unsaid, which way the room was leaning, and what you now think you should do about it.
That reading is the valuable asset, and it degrades fast. By the time you sit down to write it up, the next meeting has started and the nuance is gone.
There is also a whole category of meeting where nobody is going to accept a bot on the call. Hill meetings. Board sessions. Anything with a regulator or a counterparty across the table. Tools that work by joining the meeting are simply not in play there, and the higher the stakes the more likely that is. Postgai.me sidesteps the question because it is never in the room to begin with. What you tell it afterward is your own account, and you decide what goes into it.
How it works
Step 1
Walking to the car, between calls, on the platform. You dial your assistant the way you'd call a colleague to say how it went.
Step 2
It asks the follow-up questions a good chief of staff would ask. The readout surfaces decisions, commitments, and the read of the room — not a replay of the agenda.
Step 3
A structured written summary arrives in your inbox — ready to forward, file, or drop into whatever system your team already runs on.
What it is not
Why we built it
Hayloft's advisory work runs on conversations — client sessions, stakeholder interviews, internal debates that shape a recommendation weeks later. We built an internal assistant to catch what those conversations produced, because losing the reading of a room is expensive when your product is judgment.
It worked well enough that we kept using it, then well enough that people who saw it asked for access. Postgai.me is that internal tool, productized: multi-tenant, self-serve, and open to anyone who runs on meetings.
That path is the point. It is the same pattern behind the Executive Decision Lab and the work we do for clients. Build the working system, run it against real problems, then turn it into something someone else can hold. Software we haven't put weight on ourselves isn't something we'd ask you to rely on. So when we tell you an AI approach will or will not survive contact with your organization, we are speaking from having shipped one, billed for it, and maintained it. Not from a deck.
Who it's for
Public affairs and government relations professionals running a week of Hill meetings. Consultants moving between client contexts. Business development leads whose pipeline lives in conversations. Founders and executives whose institutional memory currently lives in their own head and nowhere else.
Some organizations want this at team scale: shared knowledge, admin controls, integration with what you already run. Postgai.me is taking on design partners to shape that version. That conversation starts at enterprise@postgai.me.
The readout
The vocabulary is worth being precise about, because the three things are different. A transcript is a record of what was said in the room. A debrief is the call you make afterward, where you say what you think happened. A readout is what lands in your inbox — the decisions, the commitments, and the read of the room, written down.
The shape is the same every time, so you learn to read it in seconds. The summary is the part you act on. The full call transcript sits below it for the times you need to go back and check exactly what you said.
Postgai.me Call Debrief
Your call summary from Alex
Headline
Coalition Steering Call — Launch Window Moves Earlier, Two Members Quietly Cooling
Summary
Dana debriefed a steering call with the four member organizations of the coalition, held to lock the launch window and confirm the joint letter. The group agreed to move launch to the first week of the session rather than the recess week, and to lead with the economic framing, with the health argument demoted to supporting material. The more significant read was unspoken: two of the four members were noticeably less engaged than on the previous call, raising cost questions rather than objecting to strategy — which Dana took as soft withdrawal rather than budget concern. Nobody claimed responsibility for briefing committee staff, and the timeline assumes the markup holds with no fallback discussed.
Next steps
Transcript
AI: Hello Dana, it's your assistant Alex.
AI: Let's start with the basics. Where were you, who were you meeting with, and what was the purpose of the meeting?
User: Just came out of the coalition steering call. Four member orgs, we were supposed to lock the launch window…
Full transcript continues.
Illustrative example. Format is the real Postgai.me output; the meeting, people and content are invented for demonstration.
The headline is doing more work than it looks like. It is the line you will scan in six months when you are trying to remember which meeting was the one where things shifted.
What this has to do with you
We built Postgai.me trust-first, into a category mostly failing the trust test. Nothing joins your meeting. Nothing records it. You decide what to say. For the people who try it, that works. The categorical fear subsides, and they start asking specific questions about specific tools instead of waving off the whole class.
Getting them to try it is still hard. The clearest signal we have: the privacy policy is the most-visited page on the site after the landing page. Pricing is next. People are not evaluating what it does. They are evaluating what it costs them, in both senses.
And the two are connected in a way worth knowing before you budget for anything. You can have free AI tools, and you can have private AI tools. You cannot have free, private AI tools, especially at scale. Wire a local model into an open-source harness and you have bought hardware. Run a zero-retention open-weight model in the cloud and you are paying market rates for server time. Postgai.me pays those rates to stay on the trust-first side of the line, and passes the cost to the user. The privacy premium never disappears. It only moves.
Most organizations we talk to are deciding whether to build, buy, or wait. We have opinions on that question that came from operating the thing, not from advising on it.
Two ways in
If you want the tool: your next meeting ends in a couple of hours. Debrief that one, then read the summary next week and see whether it tells you something you would otherwise have lost.
If you want the capability: the first conversation is about what your organization is actually trying to decide, not about Postgai.me.
30 minutes, no pitch deck. Pricing and product details live at postgai.me.
support@hayloftadvisors.com