Good behavior is hard to specify.
Your experts recognize the right answer, but the important distinctions and exceptions are missing from the AI’s instructions or training material.
Forward Alignment · Work with our team
Turn expert judgment into AI improvements you can test.
Work directly with the people building Teammately. A Forward Alignment Scientist works with your AI team and domain experts to define good behavior, build useful benchmarks, and test changes your team can keep improving.
A useful place to start
Bring a problem your team recognizes.
The benchmark misses what matters.
A score leaves your team uncertain about which situations it represents and whether a change will help in the conditions your business cares about.
A failure keeps coming back.
Prompt, harness, or model changes haven’t resolved a behavior. You need to understand the missing judgment and test an intervention.
Starting a new initiative? Bring the decision your AI needs to make and the expertise you already have. A production system or finished benchmark is not required.
Forward Alignment Scientist
Make the development decision testable.
The scientist separates unclear standards and coverage gaps from system failures, designs a fair experiment, and interprets what the evidence supports.
Agents do the preparation and experimentation.
Teammately’s agents prepare expert reviews, adapt follow-up questions, propose criteria, construct cases, and run supported experiments and evaluations.
Explore Lemon’s capabilitiesYour team sets the standard and chooses what to adopt.
Domain experts contribute judgment and review its interpretation. Your AI team directs the work; your organization approves standards and implementation changes.
How we work together
Build it together. Keep improving it with your team.
Teammately guides
Define what to test.
Choose a development question and initial coverage. Agents prepare expert contributions; your experts review the proposed standards.
We work together
Build and compare.
Build benchmark cases, investigate a change, and compare it with the baseline. The scientist interprets the evidence with your team.
Your team leads
Run the next iteration.
Your team updates a standard, directs the relevant cases and assessment, and chooses what to adopt. We assess this workflow at the agreed checkpoint.
Any remaining assistance after the checkpoint has an explicit scope.
Planning the work
A clear next step.
Send a few sentences about what you are building and what needs to improve. We’ll arrange a conversation about a useful scope.
What should we bring?
A development question and the materials you already have: examples, policies, an existing benchmark, or a harness. For a new initiative, start with the intended behavior and the experts who understand it.
Who from our team participates?
An AI engineering counterpart, domain experts for the relevant judgments, and an owner who can approve standards and adoption. We scope expert contribution and review time before you allocate it; these responsibilities can belong to different people.
How do we assess an improvement?
Compare a documented baseline and candidate under comparable conditions, using separate assessment cases where appropriate. Examine important situations, regressions, and unresolved judgments. Record expert time, engineering effort, and compute separately, including unsuccessful experiments. A specific gain is not guaranteed.
How do we collaborate?
Through remote working sessions and targeted onsite collaboration where useful. Before work starts, the proposal sets out participation, working access, a start window, delivery capacity, and the checkpoint for your team to lead an iteration.
How do engagement and platform pricing fit together?
Published platform pricing covers subscriptions and metered capabilities. Your Forward Alignment proposal specifies the scientific assistance, platform access, usage allowances, and any external inference or training compute covered. Training execution is scoped separately. Commercial terms are confirmed before work begins.
Can we use Teammately independently?
Yes. Forward Alignment is optional. Your team can use the platform directly and retain ownership of its expertise, standards, benchmarks, and development assets.
Customer-content access requires authorization. Research, publication, and customer stories require a separate agreement. See our Trust Center for the policies and controls.
What does your AI need to get right?
Tell us where progress is difficult. We’ll work out a useful next step with you.