
@hone, prev @ midjourney, a16z scout, swedish
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Joined September 2021
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Pushing the frontier of persistent multiplayer agents at @hone carries a ton of interesting challenges:
• How can we safely and securely generate organizational learnings from engine sessions that had access to personal connectors?
• How can we separate access (reads) from authority (writes)? I may want an engine to draft emails for 20 different users without having access to their personal connectors.
• When should a learning be considered a user preference versus an organizational best practice?
historically, most of our internal agents (openswe for coding, gtm agent for outreach) have acted "on behalf of" whoever is using them
but as they start to do more proactive, background work... I wonder if that should change. eg i really like the idea Hone put forward of agents that are striving towards a goal (xitter.cf/hone/status/2108218574…)... these kind of seem like coworkers, and i wonder if they should be treated as such
Former OpenAI, Cognition staffers want AI agents running businesses bloomberg.com/news/articles/…
“You can give the Engine a goal or an ambiguous workstream, and it creates the loop to understand, measure, iterate, and self-improve.”
Hear how @ChrisPrinz at @modal is rethinking GTM with Hone Engines that go beyond executing tasks to own entire workstreams, continuously measure results, and improve performance.
See what Engines can do for your organization at Hone.com.
We believe translating frontier intelligence into economic value takes AI systems that work for the organization, own outcomes instead of tasks, and get better the longer they run.
That's why we built engines.
Today we're sharing some of what we've learned building them, starting with our simulation work for self-improving harnesses.
A company can't be rewound. For an engine to test a change to itself, we simulate the systems and people around it and replay weeks of work in minutes.
We're a small, talent-dense team of engineers who helped build frontier AI products at Cognition, Mercor, Decagon, Ramp and Midjourney.
If this work is interesting to you, DM me.
Today Hone launches Engines: AI that owns business outcomes.
Chatbots give answers. Agents do tasks. Engines deliver outcomes, and we hold them responsible for creating real value, measured in actual dollars instead of tokens or vibes.
You point it at a business metric, and the Engine figures out the rest. It onboards itself, builds the necessary agents, skills, and memories, collaborates with the right people, and gets better with experience.
From AI leaders to global enterprises, our customers have already used Engines to:
• Uncover millions in procurement savings
• Optimize product funnels
• Manage credit risk
• Increase qualified pipeline in new territories
• Accelerate implementations and improve account management
To scale this impact across the economy, we’ve raised a $60M seed led by Benchmark and Index with participation from Elad Gil, Hanabi, Definition, Diffusion, Lux, SV Angel, and Align.
AI’s raw capabilities are far ahead of the value it creates in the real world, and Engines will help close the gap.
Here’s how they work…
Matheus retweeted
Somewhere between personal agents booking flights and frontier labs solving Navier-Stokes sits a large, quiet gap. Inside most organizations, AI still produces no measurable return.
Five months ago I founded Hone with Moritz Stephan and Oliver Brady. Today we’re announcing our $60M seed led by Benchmark and Index Ventures, and launching AI Engines: persistent agents that own business outcomes.
Most AI products serve individual productivity. They assist with tasks, answer to no outcome, and get a fraction of the freedom or accountability you’d give a model this smart. The few that run at the organizational level are usually lengthy custom builds. Today it is surprisingly hard for a business to point frontier intelligence at its most critical outcomes.
An Engine is built for exactly that. You point it at a business outcome. It onboards itself, builds the agents, skills, and memories the job needs, works with the right people, and gets better with experience. It doesn’t produce output. It produces results.
As a team, we believe AI should be held to a higher standard. We measure our work not by benchmarks, but by the business results we drive for customers in the real world.
Intelligence is no longer scarce, and the economy should grow like it. That happens when subject matter experts stop doing the work and start building the systems that do it. Watch the demo to see how Hone enables that.
Today Hone launches Engines: AI that owns business outcomes.
Chatbots give answers. Agents do tasks. Engines deliver outcomes, and we hold them responsible for creating real value, measured in actual dollars instead of tokens or vibes.
You point it at a business metric, and the Engine figures out the rest. It onboards itself, builds the necessary agents, skills, and memories, collaborates with the right people, and gets better with experience.
From AI leaders to global enterprises, our customers have already used Engines to:
• Uncover millions in procurement savings
• Optimize product funnels
• Manage credit risk
• Increase qualified pipeline in new territories
• Accelerate implementations and improve account management
To scale this impact across the economy, we’ve raised a $60M seed led by Benchmark and Index with participation from Elad Gil, Hanabi, Definition, Diffusion, Lux, SV Angel, and Align.
AI’s raw capabilities are far ahead of the value it creates in the real world, and Engines will help close the gap.
Here’s how they work…
Matheus retweeted
As intelligence becomes less of a bottleneck, the real challenge is making a business outcome well specified so that it can be automatically hill climbed.
At Hone, that means turning production traces into replayable multi-turn evals, building high fidelity simulations of messy real world environments, and getting systems to robustly learn from their own experience.
We’re a team of Thiel Fellows, Jane Street quants, published researchers, and early engineers from Cognition, Mercor, Decagon, and Ramp.
If you want to work on AI that owns real outcomes at real companies, send me a DM or check out our careers page below.
hone.com/careers/
Today Hone launches Engines: AI that owns business outcomes.
Chatbots give answers. Agents do tasks. Engines deliver outcomes, and we hold them responsible for creating real value, measured in actual dollars instead of tokens or vibes.
You point it at a business metric, and the Engine figures out the rest. It onboards itself, builds the necessary agents, skills, and memories, collaborates with the right people, and gets better with experience.
From AI leaders to global enterprises, our customers have already used Engines to:
• Uncover millions in procurement savings
• Optimize product funnels
• Manage credit risk
• Increase qualified pipeline in new territories
• Accelerate implementations and improve account management
To scale this impact across the economy, we’ve raised a $60M seed led by Benchmark and Index with participation from Elad Gil, Hanabi, Definition, Diffusion, Lux, SV Angel, and Align.
AI’s raw capabilities are far ahead of the value it creates in the real world, and Engines will help close the gap.
Here’s how they work…
Engines are the new paradigm for autonomous AI, and in the coming months they'll become the standard. I'm so proud of what we've managed to build, with so much still left to do. We're a small team with big ambitions to shape the next form factor. The Hone team is exceptional, and I'm proud to work alongside them. We're looking for more amazing people to join us, so please reach out if you want to be part of it!
Today Hone launches Engines: AI that owns business outcomes.
Chatbots give answers. Agents do tasks. Engines deliver outcomes, and we hold them responsible for creating real value, measured in actual dollars instead of tokens or vibes.
You point it at a business metric, and the Engine figures out the rest. It onboards itself, builds the necessary agents, skills, and memories, collaborates with the right people, and gets better with experience.
From AI leaders to global enterprises, our customers have already used Engines to:
• Uncover millions in procurement savings
• Optimize product funnels
• Manage credit risk
• Increase qualified pipeline in new territories
• Accelerate implementations and improve account management
To scale this impact across the economy, we’ve raised a $60M seed led by Benchmark and Index with participation from Elad Gil, Hanabi, Definition, Diffusion, Lux, SV Angel, and Align.
AI’s raw capabilities are far ahead of the value it creates in the real world, and Engines will help close the gap.
Here’s how they work…
Today Hone launches Engines: AI that owns business outcomes.
Chatbots give answers. Agents do tasks. Engines deliver outcomes, and we hold them responsible for creating real value, measured in actual dollars instead of tokens or vibes.
You point it at a business metric, and the Engine figures out the rest. It onboards itself, builds the necessary agents, skills, and memories, collaborates with the right people, and gets better with experience.
From AI leaders to global enterprises, our customers have already used Engines to:
• Uncover millions in procurement savings
• Optimize product funnels
• Manage credit risk
• Increase qualified pipeline in new territories
• Accelerate implementations and improve account management
To scale this impact across the economy, we’ve raised a $60M seed led by Benchmark and Index with participation from Elad Gil, Hanabi, Definition, Diffusion, Lux, SV Angel, and Align.
AI’s raw capabilities are far ahead of the value it creates in the real world, and Engines will help close the gap.
Here’s how they work…
i've been using @conductor_build a lot recently and its way more useful than i thought it was going to be, its actually so nice. Can recommend!
Matheus retweeted
we're proudly optimizing business metrics
@chrisbarber appreciate the shoutout!
I made a list of great startups to join. It's called the Breakout List.
The list has 92 companies. These are the 20 with 25 or fewer employees:
- Hone (@moritz_stephan, @CarloWillem, @oqbrady)
- Normal (@ansonyuu, @hudzah)
- Standard Intelligence (@G413N, @devanshpandey)
- Tacit Labs (@ninklefitz, @AmDroste)
- American Terawatt (@atroyn, @rslparker, @aranibatta)
- Conduit (@clemvonstengel, @riopopper)
- Convergent (Omkar Savant, Vivek Katara, @debnilsur)
- Core Automation (@MillionInt, @_arohan_)
- Engram (@dan_biderman, @EyubogluSabri, @realJessyLin)
- Instinct (@noahrshinn)
- Keenable (@styskin, Matthias Petri)
- Lumaril (Mark Elliot, Ben Duffield)
- Neion Bio (@Dimkell, Sam Levin)
- Pangram Labs (@max_spero_, @bradley_emi)
- Quadrillion (@echinaceous)
- Re (@karnsaroya, @AnandDhillon, @thecliffwhite, @benaneesh)
- Ricursive (@annadgoldie, @Azaliamirh)
- Sail Research (@neilmovva, @blintzbase)
- Trajectory (@rronak_, @michaelelabd, @QuantumArjun)
- Watney Robotics (Sean Cheong, Ryan Gannon)
Picks from Elad Gil, Charlie Songhurst, Keith Rabois, Mike Vernal, Alana Goyal, Sonya Huang, Ramtin Naimi, Marc Bhargava, Cory Levy, Aashay Sanghvi, Konstantine Buhler, John Luttig, Varun Gupta, Ray Tonsing and Avichal Garg.
Disclosure: I'm a small investor in American Terawatt, Convergent, Standard Intelligence and Trajectory (in this post), and in Factory, Physical Intelligence and SF Compute (elsewhere on the list). I didn't vote.
The full list is on Breakout List.













