![The image displays a stylized world map with glowing network lines connecting various points, overlaid with numerous small rectangular boxes containing images of people and text labels. Prominently in the center, large blue text reads "AITINKERERS" and "POST-TRAINING", suggesting an informational or promotional graphic.. Text: AITINKERERS
"POST-TRAINING"
PALLADIUM
ELENIOM
BANDICAM
GARDENWARE
MOI AFARLE
ENIGMA
NO FARM IN RAIN CINE PLENIUR
Mianny Hotel
FREELANCE
ALPHONSO
S. Africa
THE FUGA
AL PRUUCE MAGNA COREM ABDUILE BERLLINE ME CEULANTEPIC AN
[numerous other small, unreadable labels and names]](https://sloppy-joe-app.imgix.net/blog_images/post-training-screen-png-7AO1.png?h=475&w=700&fit=crop&auto=format%2Ccompress&q=68)
Tinkering at Scale focused on agentic orchestration, knowledge graphs, and creative AI, highlighting practical ways to coordinate complex workflows and connect structured knowledge for better outcomes. The session shared concrete wins from creative applications, and the community energy made it easy to translate ideas into experiments.
Agent version control plus pipeline-parallel LLMs help teams iterate safely while scaling throughput. By tracking changes across agent versions and running models in parallel stages, you reduce risk and speed up experimentation—so workflows stay consistent as you push new ideas into production.
WebMCP is coming to Chrome, alongside a 3D “Codebase Cities” view to explore code visually. The stack pairs with self-improving coding agents that iterate over your codebase—helping developers move faster with clearer context and tighter feedback loops.
AI Tinkerers #18 spotlights MemoryLane’s screen context and on-device voice models—sharing how to use screen context effectively and keep voice processing on your device. Join the community discussions and learn practical approaches for building and experimenting with on-device voice experiences.
After three months deploying OpenClaw for clients, I learned agents stick when they become background infrastructure: a nightly arXiv research agent (“NO_REPLY” if fewer than 3 strong papers), a two-layer knowledge system (facts in Obsidian + decision reasoning in Honcho queried together), SnapshotClaw versioning for OpenClaw state/config/cron/skills, and a Reachy Mini robot brain wired into Botwick for persistent voice + context.
In AI Tinkerers #17, we build multi-agent Openclaw comics and tackle security considerations while adding an AI fact-checker. Thanks to the community, we’ll share practical notes on prompting and safety—plus how the fact-checker helps keep claims grounded.
AI Tinkerers #16 dives into vector database evolution and persistent agent memory. The session highlights practical shifts in how embeddings are stored and retrieved, plus strategies for keeping agent context across sessions—so builders can design more reliable, stateful AI systems.
Community Spotlights • Issue #15.
Community Spotlights Issue #14 highlights reliability, offline safety, and product-ready AI builds.
Community Spotlights • Issue #13.
