YOUR DIGITAL CHIEF OF STAFF Coming Soon • Research Preview

Keep complex projects moving.

Assistant You coordinates parallel work, delegates tasks to AI agents, tracks dependencies, and brings you the evidence and decisions needed to move forward.

Currently accepting research teams & lab directors for early cohort access.

Illustrative project — sample data Simulation demonstrating concurrent work, dependency resolution, and deliverable verification.

Coordinating Complex Research Workstreams

See how Assistant You maintains durable project context, unblocks parallel threads, and isolates the high-leverage decisions that require human scientific judgment.

Example Project

Cancer Genomics Research

Biomarker stratification & oncogenic driver discovery across 120 tumor RNA-seq samples.

Coordination State 3 Active • 1 Blocked • 1 Ready
Durable Checkpoint #24 — Raw QC Completed
1. Literature Review Running

Research agent reviewing candidate papers for target oncogenes.

Agent: BioLit-Synthesizer 84 of 110 papers indexed
Dependency: Independent background stream
2. Data Quality Audit Ready for review

Audit report available with flagged outlier samples.

Agent: FASTQC-Auditor Audit Report v1.2 ready (14 flagged)
Dependency: Feeds into Analysis Plan
3. Analysis Plan Awaiting your decision

Choose how to handle flagged samples before normalization.

Assigned to: Principal Investigator Requires sample exclusion policy
Critical: Blocks Comparative Analysis
4. Comparative Analysis Blocked

Differential expression analysis queued. Blocked pending approved analysis plan.

Agent: DESeq2-Executor Queued (needs clean cohort matrix)
Dependency: Depends on approved Analysis Plan
5. Methods Draft Ready to start

Can proceed independently using the recorded sequencing protocol.

Agent: Protocol-Drafter Library prep & instrumentation logged
Dependency: Independent of data audit resolution
Action Item for Human Judgment
Interactive Demo Simulation

Decision needed: How should flagged samples be handled?

The Data Quality Audit detected batch variance in 14 of 120 samples from Sequencing Batch #3. Assistant You surfaced this fork with supporting evidence and concrete options rather than stalling execution.

📄 Supporting Audit Evidence: QC_Audit_Report_v1.2.pdf

Finding: 14 samples from Batch #3 exhibited mean read depth <12M reads with high GC-bias variance (p=0.003). Statistical power analysis shows retaining them untreated risks false-positive oncogene calls in comparative differential expression.

Work this unblocks:

Unblocks Comparative Analysis. Agent will generate Normalized Expression Matrix v1.4 and execute differential expression across the 106 verified samples.

Verified Deliverable Record Traceable Output Artifact

Deliverable: Normalized Expression Matrix v1.4 & Batch Diagnostics

Output File tcga_brca_norm_matrix_v1.4.h5ad
Artifact Checksum sha256:7f8c92a...e4d01b
Source Provenance GDC TCGA-BRCA Manifest #4912 (106 passed samples)
Execution Record Agent qc-pipeline-agent v2.1 • Protocol: TMM Normalization
Agent Finished

Pipeline script executed with 0 exit errors. Automated dimensionality check passed (106 samples × 20,412 genes). Checksum sealed.

Verified Complete

Principal Investigator reviewed PCA cluster distribution, confirmed outlier exclusion criteria, and formally approved output for publication manuscript.

Why this matters: Assistant You strictly separates an AI agent reporting task completion from an output meeting verified project criteria. Your science remains auditable and publication-ready.

How Project Coordination Works

A structured operating model that replaces fragmented chat prompts with coordinated execution.

01

Define the Project

Establish the research question, core objectives, workstream scopes, and verifiable completion criteria before any background work begins.

  • Decompose complex aims into modular streams
  • Specify input datasets, parameters & constraints
  • Set explicit acceptance criteria for deliverables
02

Coordinate the Work

Authorised AI agents execute parallel tasks within bounded scopes. Dependencies govern exactly what proceeds, what queues, and what is blocked.

  • Background tasks run concurrently without conflict
  • Dynamic dependencies ensure proper ordering
  • Upstream deliverable updates trigger downstream work
03

Make the Decisions

When forks in methodology, data anomalies, or trade-offs occur, Assistant You synthesizes the evidence and queues a decision for your human judgment.

  • Actionable options with projected consequences
  • Direct links to underlying audit & analysis logs
  • Immediate dependency unblocking upon confirmation

Launch-Focused Capabilities

Purpose-built for researchers, lab directors, and technical teams orchestrating multi-step AI initiatives.

Transparency & Development Roadmap: Assistant You is in active research preview. Capabilities described above reflect the current orchestration model. Advanced features such as private on-premise model execution, institutional identity integration, and custom compute sandbox environments are planned for subsequent releases.
Research Early Access

Be the First to Experience It

We are accepting select research labs, clinical researchers, and technical project leaders for early access cohorts. Request an invitation below.