Without HYPO.RAIL
- Agent creates
- It goes live
- Results are not tracked
- The agent forgets
Make your AI Agents learn
Every action your agent takes should be guided by previous results. HYPO.RAIL is the learning engine where every action is guided by what already worked, so that it grows and learns.
Agents that ship content still start from zero.
The next piece is produced in seconds, but the idea behind the last one is already gone. HYPO.RAIL keeps both — what it was testing, and how it did — so agents can use that themselves, over MCP, and the next piece can get better.
With HYPO.RAIL
- Agent creates
- It goes live
- Results are tracked
- The next run learns
Save the result for each version.
Every version keeps what it was testing, and how it did. The next piece can use that, instead of losing the trail.
Talk to it through MCP.
Built for agents first. Add the MCP and they can run tests themselves. No extra dashboard for the team.
The learning engine for your agents.
HYPO.RAIL lets your agents design, store, and track A/B tests in one central brain, connected over MCP. Marketing already tests — what usually never gets saved is what version one and two were about, and the data that belongs to them. Without that, the next ask is memory, a folder of leftovers, or a guess. HYPO.RAIL keeps the thesis, the run, and the result together, so the agent has a track record it can actually use.
Social, LinkedIn, anywhere they ship.
The thesis for the post lives with the result. Next time the agent writes, it has the record — not just the last draft.
Newsletters, sequences, campaigns.
Narrative, approach, and performance in the same place. So “what should we send next” isn’t an unstructured dump.
Landing pages, versioned.
Version one versus version two, with what each was testing. The winner isn’t just a gut feel or a false positive.
Meta, Google, statics, direction.
Visual and copy tests attributed back to the thesis. The agent knows what held up, not only what got spend.
Scripts, UGC, campaign narrative.
Same engine, other formats. The direction of a video or a still is a thesis too — and it should keep the score.
Outbound, support, any loop.
How to handle a type of client problem. Time to solve. Feedback. Then a second thesis. Anything that iterates can use it.
Sign up for waitlist.
For teams whose agents already ship content. We write back if it’s a fit.
We’ll write if it’s a fit.
You asked for a seat. We’ll write if HYPO.RAIL belongs in your loop.