Describe a job. Get a hire.
Every agent is built from a plain-English goal, a model choice, and a schedule. The agent reads your workspace, deals, properties, projects, budgets, logs, and returns a structured McKinsey-style report with findings, recommendations, risks, and KPIs.
Write a goal
"Surface the three deals most worth pushing this week and tell me why."
Pick a model & schedule
Gemini 2.5 Pro for depth, Flash for speed. Run on-demand or on a cron.
Read the report
Executive summary, findings with evidence, recommendations with priority, KPIs vs. target.
Ready-to-deploy agents.
Use ours, clone them, or build your own from scratch.
Land Acquisition Agent
Scans target ZIPs, scores parcels with LandIQ, surfaces 'likely-to-sell' owners, and writes the outreach memo.
Risk Sentinel
Watches every active deal & project for new flags, flood map updates, permit changes, schedule slips, budget burn, and alerts only when it matters.
Daily Report Author
Reads voice logs, photos, schedule progress, and weather. Drafts a McKinsey-style end-of-day update for every project owner by 6pm.
Procurement Strategist
Compares incoming bids across cost, schedule, and compliance, and recommends a best-fit awardee with rationale.
Portfolio Analyst
Rolls up every deal, project, and KPI into a weekly executive brief with prioritized actions.
Field Briefing Agent
Generates a daily 'what to focus on' brief for each superintendent based on today's schedule and yesterday's issues.
Why It's Different
Structured outputs, not stream-of-consciousness chat.
Other AI tools give you paragraphs. Our agents return a structured report: executive summary, findings with record-level evidence, prioritized recommendations, risks with mitigations, and KPIs scored against your targets.
Workspace-grounded
Agents read your actual deals, parcels, projects, and budgets, not the public web.
Confidence-gated
If the data is sparse or contradictory, scores cap and the report says so. No hallucinated certainty.
Schema-locked output
Every run produces the same structured fields, so the UI renders cleanly and downstream automations work.
Run on a schedule
Cron-based runs and event triggers, deal moved, project phase complete, weather change.
Pick your model
Gemini 2.5 Pro for deep research, Flash for speed. Switch per-agent, per-run.
Foreman AI assistant
A context-aware chat that follows you across every page, with the same data the agents use.
Audit Trail
Every output, every prompt, every cost, logged.
Per-run audit: prompt, model, tokens, cost, duration, full structured output.
Approve, edit, or discard AI drafts before they touch your records.
Workspace-level cost rollups so you know exactly what your AI team is spending.
Permissions: who can build agents, who can run them, who can see the output.
See your AI team in action.
Each agent reads your real workspace data and ships a structured, McKinsey-style report. Here's what you'll see in the app.
Land Acquisition Agent
Running · Gemini 2.5 Pro · 47 records analyzed
Executive Summary
Of 47 parcels analyzed across Coastal SC, 12 meet acquisition criteria and 3 show motivated-seller signals worth immediate outreach. Median projected margin is 24.6%, above the 20% portfolio target.
Key Findings
12 parcels match acquisition criteria in target ZIPs
High3 owners show high-likelihood-to-sell signals
HighMedian margin 24.6%, above 20% target
MedKPIs
Deals analyzed
47
target 50
Avg buildability
78
target 75
Pipeline value
$28.4M
target $25M
Live agent run
742 Evergreen Terrace
Charleston, SC · R-1 · 12,400 sqft
Build
92
Margin
26%
Risk
Low
Source data: buildability
Deal Pipeline
6 active · $4.18M projected margin
Discovery
1428 Pine Ridge Dr
82 Marsh Point Ln
Underwriting
742 Evergreen Ter
9 Heritage Oaks
Negotiation
316 Beachwood Ct
Closing
55 Lighthouse Way
AI nudged 316 Beachwood Ct to Negotiation, strong-buy score
Pipeline that agents watch
316 Beachwood Ct
Phase 3 of 6 · $1.24M budget · On schedule
Budget
62%
$768K used
Schedule
53%
Day 84/158
RFIs
3
1 awaiting
Project the agents report on