LESS REPETITION. MORE RESEARCH.

Research workflows & agents

Connect tools, data and human review around a recurring research task, with traceable execution.

Open for project inquiriesDiscuss this direction

Should a research task use an agent or a workflow?

Defined, repetitive steps can use a fixed workflow. Tasks that need tool choices based on intermediate results may benefit from an agent. We review the task, available tools and human checkpoints before scoping development.

Teams with repetitive tasks, frequent tool switching and definable inputs and output requirements.

We assess whether an agent is needed before building one. Fixed tasks use explicit workflows; dynamic tool selection can use agents, with human checkpoints retained.

What we can deliver together

  • Task and workflow mapping
  • A focused workflow or agent prototype
  • Tool integrations, run records and review checkpoints
  • Usage guidance and project feedback

What to prepare

  • Current workflow and tool inventory
  • De-identified examples and output requirements
  • Human decisions and access boundaries

How we evaluate completion

Evaluate representative tasks, traceability, failure handling and human takeover. Compare time and required corrections with the existing process, beyond a single successful demo.

Scope of collaboration

Literature organization, analysis tool orchestration and report preparation are discussion starting points. Integrations depend on access and APIs. Researchers retain responsibility for scientific judgments.

How collaboration works

  1. 01Select a recurring task
  2. 02Define inputs, outputs and review
  3. 03Connect tools and prototype
  4. 04Evaluate and iterate

Common questions

Will an agent make scientific judgments for us?

Outputs are not treated as research conclusions. Expert decisions retain human review and evidence should be inspectable.

Is a language model always necessary?

No. We favor a simpler, explainable script or rule-based workflow when it reliably solves the task.

Further reading

GOOD QUESTIONS START GOOD PROJECTS

Bring a question.
Let’s work on it.

A model, a repetitive workflow, or research that deserves a clearer story. Start there.

Let’s talk research