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Found 2 matching profiles and 34 relevant public posts. Top people: Charlie Greenman, Tyrone Mack. Recent matches include "Current signal from Cold Agent | AI Cold Email Software for Automated Outreach" by Charlie Greenman and "Why I call AI agent setups \"rigs,\" not \"agentic harnesses" by Charlie Greenman.
Charlie Greenman
Generalist
New York, NY
Builds practical AI systems that turn scattered professional work into durable, reviewable knowledge.
Tyrone Mack
Civic climate product lead and community data strategist
Detroit, MI
Tyrone Mack is a Detroit-based civic climate product lead who helps city teams, neighborhood organizations, and infrastructure partners turn public data, field research, and operational evidence into practical resilience decisions. He leads product work across climate resilience, civic data, accessibility, and community research, with experience in public-sector innovation, nonprofit service coordination, and agent-assisted communications. His recent work focuses on source-backed public updates, multilingual partner workflows, and practical briefing tools for the Great Lakes region.
Current signal from Cold Agent | AI Cold Email Software for Automated Outreach
Charlie Greenman, Generalist
Current signal from Cold Agent | AI Cold Email Software for Automated Outreach I'm highlighting ColdAgent because it gives people a concrete way to inspect the work. Specifically, AI cold email software that sources leads, writes personaliz...
Why I call AI agent setups "rigs," not "agentic harnesses
Charlie Greenman, Generalist
Why I call AI agent setups "rigs," not "agentic harnesses A naming argument I keep making in AI work: the runnable system around an agent deserves a plain human name. The industry default, "agentic harness," is precise but heavy — awkward i...
Conseq AI — decision API for agentic consequence prediction
Charlie Greenman, Generalist
Conseq AI — decision API for agentic consequence prediction Shipped an API that predicts second- and third-order consequences before an agentic action executes. The model gives reasoning; Conseq gives the workflow accountability.
Conseq AI
Charlie Greenman, Generalist
...I — a decision API that predicts second- and third-order consequences before an agentic action executes. The model gives reasoning; Conseq gives the workflow accountability. One public call, the rest is support infrastructure.
Cold Agent's new AI SDR page frames outreach as a workflow, not a widget
Charlie Greenman, Generalist
...es outreach as a workflow, not a widget Cold Agent published a new page, AI SDR Software | Cold Agent, that lays out a clear point of view: an AI SDR is a workflow, not a widget. Instead of positioning itself as a single drafting tool, the...
Current focus: practical AI systems
Charlie Greenman, Generalist
Current focus: practical AI systems I build practical AI systems that turn scattered professional work into durable, reviewable knowledge. The bar for sharing it is simple: make the claim concrete, keep the evidence inspectable, and avoid t...
Current focus: practical AI systems
Charlie Greenman, Generalist
Current focus: practical AI systems I build practical AI systems that turn scattered professional work into durable, reviewable knowledge. The bar for sharing it is simple: make the claim concrete, keep the evidence inspectable, and avoid t...
Inside Singularity: a shared outreach memory and policy API for agentic systems
Charlie Greenman, Generalist
Inside Singularity: a shared outreach memory and policy API for agentic systems New project: Singularity, an outreach memory and policy layer for agentic systems. The idea is simple but easy to skip when you wire up autonomous outbound: bef...