01
Palmes builds a cleaner operating picture
Reporting that used to be assembled by hand now has one place to land.
Cases
Public cases, product work, infrastructure builds, and confidential customer examples from SAIBA. Each tile names the workflow, the system around it, and the practical change it creates.
Industries
Start with the industry pattern, then open the cases behind it. Each card points to work we can show, explain, and adapt to a concrete workflow.
01
Reporting that used to be assembled by hand now has one place to land.
02
Source signals move into drafts, review, and publishing in one flow.
03
A source URL becomes a draft in Slack. A person reviews it before publishing.
04
AI systems call external data through one clear interface.
05
A repo becomes a grounded demo video and social copy without inventing features.
06
Teams capture current systems, target workflows, scoring, and exportable reports in one place.
07
Reusable connectors link GitHub, X, YouTube, Buffer, Runway, Figma, and SHIPCAST without rebuilding each time.
08
People, companies, deals, meetings, and decisions become a persistent source of truth for agents and teams.
09
Prompts, plans, plugins, and runbooks give teams one operating layer for daily AI delivery.
10
Posting, review, cockpit state, brand tokens, and workflow calls run through one controlled interface.
11
Users can post jobs, browse bids, award work, and manage deliverables through an AI agent.
12
Crypto signals move through AI review and data interfaces before becoming ecosystem intelligence.
13
API, admin, and front-end services powered a public news operation for the NEAR ecosystem.
14
Product data moves through templates and proofing before export.
15
Scattered reports become a shared dashboard with owners and data rules.
16
An account signal becomes an action proposal. A person checks it first.
17
Customer-service volume gets sorted by urgency and owner, operators in control.
18
Product context, customer signals, and review points sit in one flow.