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Chat → Structured Project
Prompt naturally while ProofHorizon builds a live tree of tasks, subtasks, and dependencies your team can edit, pin, and reorganize.
Organized, trusted work with right-sized AI teams
ProofHorizon turns prompts into tasks and projects.Assembles the AI team.Verifies the evidence.
Start with a prompt—not a sprawling chat thread.
ProofHorizon automatically extracts structured tasks and projects your team controls, assigns the right agents from 400+ AI models, and runs every deliverable through automated gates, independent model review, and your human checkpoints.
400+AI models to staff from
up to 10xcheaper (vs. frontier models)
0tokens spent by the deterministic gate
Deterministic & policy gates · Multi-model verification · Human checkpoints
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Right-sized AI teams that perform better at lower cost
Every task logs its exact setup—models, tools, and reviewers—and records what survives verification. ProofHorizon uses that evidence to staff your next task with the most cost-effective configuration that delivers verified outcomes, not mere assertions, rather than defaulting to the biggest, most expensive model.
Clear ownership · Agreed boundaries · Human checkpointsIllustrative workflows · Example results, not live product data
CLINICAL DECISION SUPPORT (NON-DEVICE CDS)
ILLUSTRATIVETASK DEFINITION
ID: #CDS-9104Synthesize Multi-Condition Care Plan & Verify against KDIGO/ADA Clinical Guidelines & Drug Interactions
CLINICIAN DECISION REQUIREDlock DATA ACCESS SUBJECT TO POLICYperson_check GATE: ATTENDING PHYSICIAN REVIEW
Multi-Stage Clinical Synthesis & Verification 4 Nodes + Physician Gate
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1. Generator Ensemble (BioMistral + Claude 3.5 Sonnet)Generator
Ingests EHR longitudinal labs, comorbidities, genomic markers; drafts 12-week protocol2.4sSynthesized
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2. Independent Verifier (separate reviewer agents)Decoupled Panel
Contraindication & eGFR renal dosage cross-check against active medicationsReview recordedAttested
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3. Deterministic Guideline Linter (ADA / KDIGO Standards)Rule Engine
Checks against selected guidelines with source references280msChecks recorded
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4. Attending Physician Review GateClinician Decision
Physician holds complete clinical discretion to review, edit, or reject protocolverified
VERIFIED CARE PLAN DOSSIER#proof-cds-89f4
Draft prepared · Checks recorded · Clinician review required
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How work clears the bar
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Automated Gates First
Deliverables hit deterministic rules and policy checks first. An independent AI model then cross-examines whatever survives them.
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Human Sign-Off & Audit Trail
You decide where a person steps in. Every check stays permanently attached to the task, so work can be re-evaluated whenever conditions change.
Your team, your tools
An AI team assembled for your task.
Use ProofHorizon to coordinate new work or inspect the outcomes of the AI work your team already does.
Put a human–AI team to work
Describe what you need. ProofHorizon automatically assembles an AI team for the task within your scope, budget, and delegation limits. Add people and insert human checkpoints as needed.
Start with the work you already have
ProofHorizon for GitHub is the first entry point: deterministic PR verification, followed by deeper AI review and outcome insights. Bring your own model keys or discuss managed usage with us.
From ask to outcome
How the workspace works
Prompt our AI to assemble the team and extract the work. Tasks, subtasks, and projects stay organized automatically, with independent AI review before human review or approval.
01edit_note
Ask
Describe the result you need. Confirm the proposed task, deliverable, and acceptance criteria.
A task linked to the original ask
02hub
Assemble
Our AI assembles agents from over 400 models, within your scope and budget. Insert human checkpoints before work begins.
A team with clear boundaries
03memory
Collaborate
Tasks, subtasks, and projects stay organized as agents work. Follow dependencies, ownership, and handoffs in one place.
Organized work and deliverables
04verified
Review
At least one other independent AI model reviews the work before it reaches a person for review or approval. Inspect the result and its evidence together.
Evidence attached to the task
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Improve
Learn which team configurations work for each kind of task, including failures, rework, and later outcomes.
Cost per verified completion
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ProofHorizon’s First Law of AI
“The system that says it completed the task should not be the same system deciding whether it succeeded.”
AI governance
Set the boundaries. Stay involved where it matters.
Authorize work when you assign it. Required checks follow the task’s risk; a smaller budget never removes them.
Clear authority
Trace work back to the original ask and the person or organization that authorized it. Keep the owner, author, and verifier distinct.
Limits that travel with the task
Set scope, spending, and delegation limits. Subtasks stay within the authority granted to their parent.
Insert human checkpoints
Choose where human review belongs in the workflow. Independent AI review comes first; “Needs you” brings people the results, evidence, and decisions that require their attention. Reserved decisions stay with the accountable person.
Governance for your environment
Discuss deployment, data access, retention, and model policies for your organization. Clinical work requires appropriate agreements and clinician oversight.
Where to start
One workspace. Different kinds of work.
Start with engineering and security workflows, where changes and checks provide concrete evidence.
Software engineering
Coordinate feature development, bug fixes, testing, and documentation. Preview what was built and inspect the changes and checks alongside the task.
Cybersecurity
Organize findings into remediation tasks. Assign implementation and independent review, track validation, and retain human control over infrastructure changes.
Healthcare quality improvement
Explore AI-assisted retrospective review and care coordination with clinical oversight. Keep patient context governed and clinician-reserved decisions with the responsible professionals.
Your existing workflow
Bring your current tools and agents into the conversation. We will help identify an initial workflow and the integration coverage it needs.
Team insights
Learn which teams deliver results.
Measure outcomes by kind of work and team configuration, with the evidence needed to interpret each result.
Capability with context
Compare team configurations with sample sizes, observation periods, and uncertainty in view. See “insufficient data” when evidence is sparse. An agent’s report alone does not establish success.
The cost of completed work
Track spend by task and project, including failed attempts and rework. Distinguish measured, estimated, and unknown costs when comparing verified completions.
Why ProofHorizon
Evidence behind the work.
Verification is part of the task, with a result you can inspect and a clear account of who did what.
Inspect the deliverable
Open the preview, changes, checks, and attribution from the task. Keep agent summaries visibly separate from the evidence supporting them.
Never rely on one agent’s word
An agent’s work or assertion is not enough. At least one other independent AI model should review any AI’s work before people need to review or approve it. Pair that review with deterministic checks and inspectable evidence.
Follow the outcome
Look beyond completion reports. Track whether a change was reverted, needed a fix, or remained stable over time.
A clear path to getting started
Our entry offering is free deterministic verification. AI execution and review draw on paid usage or capped credits; bring your own model keys or discuss managed models. Explore the workspace direction.
Early access
Join the ProofHorizon waitlist
Be among the first to put your human–AI team to work. Leave your details and we’ll be in touch about access.
Bring your next project
Put your human–AI team to work.
Bring a task, a team, or an existing agent workflow. Explore how ProofHorizon brings tasks, teams, and evidence together in one workspace.
Clear authority•Independent review•Human–AI teams•Inspect the evidence