What I'm jamming on Jared R.:
I've been building on a concept Jacob Dietle calls "Context OS" - but applying it to client work through something I'm calling "Market Voice".
The idea: I use my clients' context on their behalf. Synthesizing their call recordings, deploying agents for deep and wide-reaching research, and turning scattered inputs into actionable GTM strategy.
The problem it solves:
GTM teams have context scattered everywhere - call recordings, CRM notes, competitor intel, customer feedback. It's all there, but nobody can talk to it. So insights stay trapped and strategy gets built on partial information.
How Market Voice works:
- Deploy agents to do research that would take a team days
- Ingest everything: recordings, transcripts, docs, research
- Synthesize it into a unified context the AI can access
- Output: ICPs, messaging, segments, campaign strategy, signal-stacked angles - all grounded in actual customer voice
Sample process - campaign strategy:
Before: Multiple discovery calls, manual industry research, guess at segments. 2-3 days.
After: Ingest recordings + docs, deploy research agents, get pain-based segments with scoring and personalized messaging. 2-3 hours.
Impact:
- Campaign strategy: 2-3 days → 2-3 hours
- Prospect research: 30-45 min per → 5-10 min
- Running a solo agency doing work that would normally need 2-3 people
- Clients get strategy grounded in their actual market voice, not generic scripts
