NOW / BUILDING IN PUBLIC
What Bloss0m is tracking and building now
Daily AI signals, active research, and side-project progress, published as a living engineering log.
- latest signals shown
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- active directions
- 2
- active side projects
- 2
DAILY AI RADAR
Signals worth following now
Models, agents, MCP, developer tools, and enterprise adoption. Tracked daily; published when a signal deserves technical context.
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Bundesliga Partners with AWS: Generative AI Creates a Global Fan Experience
How the Bundesliga is leveraging AWS and Generative AI to bring an innovative, closer-to-the-action experience and automated content production to its 1 billion fans worldwide.
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What Is Meta Muse Image? Agentic Generation, Availability, and Limits
A source-backed analysis of Muse Image's search, coding tools, self-refinement, and test-time compute, with its product availability, evidence, and adoption limits.
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Nano Banana 2 Lite and Gemini Omni Flash: Official Specs, Preview Limits, and Adoption Checks
A grounded review of Google's published specs, pricing, and preview limitations for Nano Banana 2 Lite and Gemini Omni Flash, plus what to validate before adopting an image-to-video pipeline.
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NotebookLM Short Video Summaries: Verify the Source Boundary First
NotebookLM can turn source material into roughly one-minute vertical summaries; this article separates observed features from undocumented implementation assumptions.
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The Impact of AI on the Labor Market: A New Measure from 'Theoretical Capability' to 'Observed Exposure'
A summary based on Anthropic's 'Labor market impacts of AI: A new measure and early evidence': introduces the 'observed exposure' metric, explains which occupations are most exposed to AI, its relationship with employment growth and unemployment rates, and implications for policy, businesses, and individual careers.
CURRENT DIRECTIONS
Long-term workstreams in motion
Each direction has a current stage, concrete next step, and public evidence.
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Continuous tracking and validation
Enterprise Agent Technology Radar
Track models, agent harnesses, MCP, memory, evaluation, observability, security, and enterprise adoption, translating frontier signals into actionable engineering decisions.
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Development center expansion
Clubhouse Games: One-shot / Few-shot Development Center
Test whether AI can complete game specifications, scaffolding, interaction logic, testing, and publishing from one or a few instructions.
SIDE PROJECTS
Projects moving forward
Stage and next milestone are shown instead of arbitrary completion percentages.
IN PROGRESS
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In progress
Clubhouse Games
Expanding the existing game collection into a One-shot / Few-shot AI game-development test bed.
Open project → -
Reference system evolution
LINE Chatbot · n8n Workflow Platform
Continuing to turn Agent platform experiments into reusable enterprise architecture patterns.
Open project →
RECENTLY DOCUMENTED
- Titanic — Machine Learning from Disaster Three pipelines tie; Step 5 feature recipe alone adds +3% LB
- pdf2ppt: Convert NotebookLM PDFs to Editable PPTs NotebookLM / slide-style PDF → editable PPTX
- Portfolio Opening Bell Agent Combine real holdings, realtime quotes, and news context into a structured opening report and decision dashboard so investors can gauge risk and opportunity before the open.
RESEARCH QUEUE
Questions waiting to be tested
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Validating
Enterprise Agent evaluation and observability
How should teams connect task success, traces, cost, latency, and human review?
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Next
Agent memory and context engineering
Compare persistent memory, retrieval updates, forgetting risk, and long-running context strategies.
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Watching
Self-improving and computer-use agents
Track reliability, security boundaries, and where autonomous interaction becomes useful in enterprise workflows.
FOLLOW THE WORK
Choose the signal you want to follow
Use RSS for new writing, GitHub for source changes, or email for the small digest pilot.