@anitahdesire6: #desirelove #foryou #tiktok #vir @Hajjat safiinah

DESIRE LOVE 256
DESIRE LOVE 256
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Region: UG
Monday 06 July 2026 10:31:27 GMT
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shanie8584
shanie :
obaa ntuse ntyaaa wano
2026-07-06 15:53:55
9
sheilla25600
Sheilla256 :
Ekubi zameka senga
2026-07-06 10:46:13
5
nayiga.christine
christine kirabo 1981 :
webalenyo mukama akuwe kyosinga okwagala 🙏🙏
2026-07-07 06:19:48
7
user328218dadsdaughter
Double double :
2026-07-07 18:12:55
2
decemberbea16
December bae❤️🦋🦋 :
naye banange senga😁
2026-07-06 11:24:19
5
agneshairplanet0
Agnes :
sabula
2026-07-06 11:16:52
2
kamede8
MARY :
how much money
2026-07-07 21:18:08
1
amruth637
Ruth😍 :
i need
2026-07-07 08:37:31
1
abothteddy816
Aboth Teddy :
how can i get it
2026-07-07 15:29:59
1
superluel
crystal :
zameka
2026-07-07 14:50:21
1
bitjuma2
bitjuma2 :
mazima
2026-07-08 16:03:44
0
naluwooza55
Gianna 2023 :
how much
2026-07-07 13:47:59
1
phionah194
beautiful ❤️❤️❤️ :
obuwange
2026-07-06 18:23:11
3
mummys.daughter924
mummy's daughter :
2026-07-06 16:50:25
2
shadia1112
shadia1 :
nfuna ntya ekumbi am from iganga
2026-07-09 15:10:35
1
wonders286
wonders :
ok
2026-07-06 16:38:35
2
sandraug73
sandraug73 :
ekyimbini
2026-07-07 09:06:49
1
kaijajennifer
Jennifer ateenyi :
mazima
2026-07-06 20:41:40
1
kamede8
MARY :
thanks you 🙏🙏
2026-07-07 21:19:11
0
balqiisug3
balqiis ug35377423656382 :
soon coming love
2026-07-08 12:30:08
0
falida.78
Namu Namu ❤️‍🩹👌 :
Dazini ya meka
2026-07-19 08:07:42
0
kayiwameddy357
Nambalirwa sharifah :
@webalenyo
2026-07-07 21:34:24
0
user3707131321101
user3707131321101 :
naye nga lwaki ayenda
2026-07-08 20:34:07
0
juli.wa.bobi
juli wa Bobi :
how much money
2026-07-10 00:56:28
0
monicaproudmusamia
MONICA :
How much dear
2026-07-06 20:16:58
0
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Other Videos

Partnered with @google to talk about the glow-up your agent needs to go from “cool demo” to production-ready 💅🏻 Four things I keep coming back to: ❶ Multi-agent orchestration. The biggest unlock isn’t a smarter model, it’s stopping one agent from doing everything. A root orchestrator that routes queries to specialized sub-agents (each with its own tools, instructions, and settings) scales and debugs far better than one giant prompt trying to be everything at once. ❷ MCP (or Model Context Protocol). This is the USB-C for agents — a standard way to plug tools and live data sources into an LLM without writing custom integration code for every single source. Once you’ve wired an agent to MCP, giving it a new capability is a config change, not a rewrite. ❸ Callbacks as a security layer. This is the part that gets skipped in most tutorials. ADK lets you hook into the agent lifecycle at multiple points — before the model runs, after it responds, before a tool executes — and each hook is a chance to intercept, validate, or block: user Input → before_model → LLM → after_model → before_tool → tool ❹ Guardrails, not vibes. Prompt injection detection, PII redaction, tool-input validation — these aren’t nice-to-haves, they’re what separates something you’d ship from something you’d only show in a demo. ADK gives you the scaffolding for all of the above out of the box — orchestration, MCP tool integration, callback hooks, session state — so you spend your time on agent design instead of plumbing. I recorded a short demo pulling all of this together using a simple 3 agent example — as a vehicle to show the architecture, not the point in itself. Find links to the video and the demo in the comments. If you’re building agents, curious what patterns you’re using for orchestration and guardrails.
Partnered with @google to talk about the glow-up your agent needs to go from “cool demo” to production-ready 💅🏻 Four things I keep coming back to: ❶ Multi-agent orchestration. The biggest unlock isn’t a smarter model, it’s stopping one agent from doing everything. A root orchestrator that routes queries to specialized sub-agents (each with its own tools, instructions, and settings) scales and debugs far better than one giant prompt trying to be everything at once. ❷ MCP (or Model Context Protocol). This is the USB-C for agents — a standard way to plug tools and live data sources into an LLM without writing custom integration code for every single source. Once you’ve wired an agent to MCP, giving it a new capability is a config change, not a rewrite. ❸ Callbacks as a security layer. This is the part that gets skipped in most tutorials. ADK lets you hook into the agent lifecycle at multiple points — before the model runs, after it responds, before a tool executes — and each hook is a chance to intercept, validate, or block: user Input → before_model → LLM → after_model → before_tool → tool ❹ Guardrails, not vibes. Prompt injection detection, PII redaction, tool-input validation — these aren’t nice-to-haves, they’re what separates something you’d ship from something you’d only show in a demo. ADK gives you the scaffolding for all of the above out of the box — orchestration, MCP tool integration, callback hooks, session state — so you spend your time on agent design instead of plumbing. I recorded a short demo pulling all of this together using a simple 3 agent example — as a vehicle to show the architecture, not the point in itself. Find links to the video and the demo in the comments. If you’re building agents, curious what patterns you’re using for orchestration and guardrails.

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