AI Agent Development

Custom Social Media AI Agent for Marketing Ideas

Social media ai agent build that interviews you, writes bilingual post briefs, and sends approved Higgsfield AI video or image assets.

✓Deployed for B2B teams✓Discovery to production in 3–6 weeks

37+Automation projects delivered

60+Tools built

71+Client workflows delivered

4.9/5Client satisfaction

Case Studies

Work we've shipped

Real engagements. Relevant to what you need.

Representative workflow

Dreamix

AI Agent Development

4-6 weeks

Initial problem

Content ops team spent 70% of time on mechanical tasks — asset tagging, metadata entry, channel scheduling — with minimal creative capacity remaining.

Our solution

Built AI agent development for the content pipeline: autonomous agents handling asset classification, metadata generation, and publishing scheduling.

Result

✓

Team creative time increased from 30% to 78% of the working week.

PythonLangChainCrewAIOpenAIAnthropic

"Autonomous AI agents now manage the content pipeline end-to-end, escalating only genuine editorial decisions. The team went from reactive to creative in weeks."

Representative workflow

Altoros

AI Agent Development

4-6 weeks

Initial problem

Software release required manual coordination across four teams — development, QA, security review, and deployment — creating delays and bottlenecks.

Our solution

Developed a multi-agent AI system using CrewAI with specialized autonomous agents per domain: a release coordinator agent, QA gate agent.

Result

✓

Multi-agent system handles 90% of releases end-to-end; release cadence increased from twice monthly to weekly.

PythonLangChainCrewAIOpenAIAnthropic

"The multi-agent system CogWorkLabs built orchestrates all of it autonomously. AI agents now manage our entire release workflow from code merge to production sign-off."

Representative workflow

Addepto

AI Agent Development

4-6 weeks

Initial problem

IT helpdesk was receiving 400+ tickets per week — 60% of which were common, repeatable issues that still required human triage, response, and closure.

Our solution

AI agent development built on LangChain with a RAG-powered knowledge base: autonomous agents classify incoming tickets, attempt automated resolution.

Result

✓

Average resolution time fell from 18 hours to 6.5 hours; 60% of tickets resolved autonomously without human involvement.

PythonLangChainCrewAIOpenAIAnthropic

"The AI agents operate 24/7 — something our human team obviously could not. Resolution time dropped dramatically."

Social Proof

Trusted by B2B teams

Representative clients and feedback from automation engagements across sales, ops, and logistics teams.

Representative clients

Dreamix

AI Agent Development

Altoros

AI Agent Development

Addepto

AI Agent Development

Vention

AI Agent Development

Netguru

AI Agent Development

A3Logics

AI Agent Development

"Autonomous AI agents now manage the content pipeline end-to-end, escalating only genuine editorial decisions. The team went from reactive to creative in weeks."

S. Mitov

CEO & Partner · Dreamix

"The multi-agent system CogWorkLabs built orchestrates all of it autonomously. AI agents now manage our entire release workflow from code merge to production sign-off."

R. Khasanshyn

Founder & CEO · Altoros

"The AI agents operate 24/7 — something our human team obviously could not. Resolution time dropped dramatically."

A. Haponik

CEO & Co-Founder · Addepto

"We scaled 45% in revenue over six months with the same operations team size. That leverage is the point of AI agent development."

S. Kovalenko

Co-Founder & CEO · Vention

Ready to get started?

See exactly what we'd automate for your team

A 30-minute discovery call is enough to map your workflow and tell you whether automation makes sense.

Estimate this project

✓Typical engagement: 3–6 weeks✓Discovery to working prototype in 2 weeks

Why Us

What makes us different

Four principles built into every engagement — not marketing copy, but verifiable commitments you can hold us to.

Nothing goes out without your sign-off

AI automations can send the wrong email, update the wrong record, or take an action you didn't approve — silently. We build a review step into every automation that touches customers or data, so a human approves it before it goes live. You're never finding out about a mistake after it's already out the door.

How we prove it

✓

Every engagement includes an approval queue before production go-live.

We recommend what's right for you — not what pays us

A lot of agencies steer you toward the platform that gives them a referral fee, even if it's the wrong fit for your systems. We don't take referral fees. We map your existing tools first, then recommend the stack that fits — and we show you the alternatives we considered and why we didn't pick them.

How we prove it

✓

Integration design doc lists options with tradeoffs before build starts.

We don't disappear after launch

Automations break quietly — an API changes, a token expires, nobody notices until a customer complains. We build monitoring and alerting into every project, so we catch the failure before it costs you anything. And you get 30 days of support after go-live, not a one-time handoff.

How we prove it

✓

Every project includes a monitoring dashboard; 30-day post-launch support standard.

No surprise invoices, ever

You'll always know exactly what we're building this week, what's done, and what's been pushed to a later phase — before we touch a line of code. No scope creep, no "oh, that wasn't included" conversations at the end.

How we prove it

✓

Weekly milestone updates and a signed scope doc before prototype work begins.

Client Feedback

Trusted by Teams Like Yours

A few words from the teams we've partnered with, sharing what it's been like to work with us and the impact automation has had on their day-to-day.

"Autonomous AI agents now manage the content pipeline end-to-end, escalating only genuine editorial decisions. The team went from reactive to creative in weeks."

✓

Team creative time increased from 30% to 78% of the working week.

S. Mitov

CEO & Partner · Dreamix

"The multi-agent system CogWorkLabs built orchestrates all of it autonomously. AI agents now manage our entire release workflow from code merge to production sign-off."

✓

Multi-agent system handles 90% of releases end-to-end; release cadence increased from twice monthly to weekly.

R. Khasanshyn

Founder & CEO · Altoros

"The AI agents operate 24/7 — something our human team obviously could not. Resolution time dropped dramatically."

✓

Average resolution time fell from 18 hours to 6.5 hours; 60% of tickets resolved autonomously without human involvement.

A. Haponik

CEO & Co-Founder · Addepto

Led byZegham Ali — AI Agent & LLM Engineer ↗

Named Experts

The team on your project

You'll work with named engineers and a dedicated delivery manager — not an anonymous team bench.

Mughees Rehman

Conversational AI / Chatbot Specialist

Mughees designs the conversational AI behind chat automation — qualify, route, deflect, and hand off cleanly to a human — across ManyChat, Telegram, and Discord.

Experience

Designing conversational flows and chatbot logic across ManyChat, Telegram, and Discord
Intent routing, deflection optimization, and clean human handoff design

View on X

Awais Ahmad

Senior RPA & Workflow Engineer

Awais builds the workflow automation itself — retries that actually retry, idempotency, audit trails — turning brittle scripts into RPA that holds up at production volume.

Experience

Designing and deploying RPA bots for high-volume, repetitive business processes
Building production workflow logic with retries, idempotency, and audit trails

View on X View GitHub

Awais Shahid

Automation Consultant & Solutions Advisor

Awais runs discovery, maps your process, and turns it into a scoped, build-ready plan for custom scripting and automation — staying your one named point of contact through sign-off.

Experience

Process discovery and translating client workflows into scoped, build-ready plans
Client communication and milestone delivery as the single point of contact

View on X View GitHub

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Ready to remove the manual work from your workflow?

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✓No retainer required✓Discovery to production in 3–6 weeks✓Human-in-the-loop by default