Algo Trading
AlgoEdge
Automated PNL reporting platform for Tradetron Creators — real-time MTM tracking, drawdown alerts, and Telegram summaries
Tradetron APITelegram Bot
United States
AI Agent vs AI Chatbot
The difference is actions, not intelligence — and it's the difference between a $299 build and a $899 one. Which one your problem actually needs.
Not sure which is right for you?
Tell us the situation. We'll give you a straight answer, including when it's not us.
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A real quote in 24 hours — not a sales sequence.
We'll tell you when we're wrong for youA price in writingYou own everythingNo lock-in contractsUSD invoicing24-hour reply
The short answer
The short version
If you want people to get accurate answers, you want a chatbot, and it costs a third as much. If you want work to get done — records updated, documents processed, quotes calculated, emails drafted and sent — you want an agent. The mistake that costs money is buying an agent for a job a chatbot does perfectly well, because agents carry integration, guardrail and testing costs that only make sense when something is genuinely being actioned.
Comparison last reviewed
Side by side
Where each one actually wins
A comparison where one column wins every row isn't a comparison. These are the trade-offs as we'd describe them on a call.
| AI ChatbotFrom $299 | AI AgentFrom $899 | |
|---|---|---|
| What it does | Answers questions | Takes actions and reports back |
| Build cost | $299 – $1,999 | $899 – $5,999 |
| Time to build | 7–14 days | 3–6 weeks |
| Monthly running cost | Typically $10–$80 | Typically $30–$300 |
| System access | Reads your documents; can look things up | Reads and writes across your systems |
| Risk if it's wrong | A bad answer — recoverable | A wrong action — needs guardrails and approvals |
| Testing needed before launch | Answer accuracy check | Accuracy plus adversarial and permissions testing |
| Work actually removed | Deflects repetitive questions | Removes the task itself |
| Best fit | Support, pre-sales, FAQs | Operations, back office, research, triage |
When a chatbot is the better choice
Agents are the more expensive product and we still steer people to chatbots often. A chatbot wins when:
- The job is answering questions — pricing, policies, hours, how something works.
- Your customers mainly need information, not transactions.
- You want it live in a week rather than three.
- Nothing needs to change in your systems as a result of the conversation.
- You want the lowest running cost — chatbots make one model call, agents make several.
Start with a chatbot. If you find yourself wishing it could actually do the thing rather than explain it, that's the honest signal to move up to an agent.
Over three years
The comparison most people don't run
Month one is the wrong window. Here's what the two options cost once they've been running a while.
| AI Chatbot | AI Agent | |
|---|---|---|
| Build | $299 | $899 |
| Running cost, 3 years | About $1,100 | About $3,600 |
| Three-year total | About $299 + $1,100 | About $899 + $3,600 |
| What it replaces | Answering the same question repeatedly | A recurring task on someone's list |
Both figures assume our fixed build fee plus typical model usage at small-business volume. Neither carries a per-conversation or per-seat licence fee to us.
Practical steps
Starting with a chatbot and growing into an agent
This is the path we recommend most often, and the work isn't wasted — the knowledge base and integrations carry over.
- 1
Launch the chatbot and watch what people actually ask for over a month.
- 2
Look for the requests where the answer is 'I can't do that, but a person can' — that list is your agent's job description.
- 3
Reuse the document training and system connections already built for the chatbot.
- 4
Add tool access one action at a time, each behind an approval gate at first.
- 5
Loosen the approval gates only once the accuracy numbers justify it.
If you go our way
AI Agents — what it costs
Prices agreed in writing before anything starts.
Starter
Single Agent
One agent doing one job well — lead research, document extraction, ticket triage or first-draft replies.
$899one-time
- 1 agent, scoped to a single task
- Connected to up to 3 of your systems
- Guardrails and approval gates
- Full action logging
- Accuracy test set you can rerun
- Live in 3 weeks
- 30 days of tuning
Most Popular
Multi-Agent System
Several agents handling a whole function, passing work between each other with a human supervising.
$2,499one-time
- Up to 4 coordinated agents
- Shared memory and context across agents
- Retrieval over your own documents
- Supervisor dashboard with override
- Escalation to a human on low confidence
- Live in 5–6 weeks
- 60 days of tuning
- Team training included
Advanced
Custom Agent Platform
A production agent platform with custom infrastructure, for teams putting agents in front of customers or regulated data.
$5,999from
- Unlimited agents on shared infrastructure
- Custom tool and API development
- Role-based access and audit logging
- Model routing to control cost and quality
- Load and adversarial testing before launch
- Timeline quoted after discovery
- 90 days of support, then optional retainer
Pay byWire / ACH transferCredit card (Stripe)PayPalZelleWise— invoiced in USD
Our Work
Real websites and apps we've shipped
Every one of these is live right now — click through and judge the work yourself.
Car Service
JustFix Automotive
Designed and built a fast, user-friendly website for JustFix Automotive, a trusted mechanic workshop in Sunshine North, VIC. We executed a comprehensive on-page and technical SEO strategy optimizing site speed, local schema, and service-page architecture—to boost search rankings, capture high-intent local traffic, and drive online service bookings.
NEXT JSHOSTINGTAILWINDMONGODB
Logistics website
Dwaraka Packers & Movers – Sirisilla
After the successful launch of the first website, the client partnered with Mana Studio again to develop a dedicated website for their Sirisilla branch.
Next.jsReact.jsJavaScript (ES6+)HTML5
logistics website
Dwaraka Packers and Movers
A modern, SEO-optimized website designed and developed by Mana Studio for a professional packers and movers company. From UI/UX design to full-stack development, we built a fast, mobile-friendly, and conversion-focused website that helps generate leads, build customer trust, and strengthen the brand's online presence.
Next.js React.js JavaScript (ES6+) HTML5 CSS3
Automotive PWA
Sri Laxmi Carz
Pre-owned car dealership platform for a trusted dealer in Warangal — live inventory browsing, certified listings, and an installable PWA with offline access and instant new-arrival notifications
Next.jsPWASEOPush Notifications
Job Portal
Sarkari Job Samachar
Comprehensive job portal for government job seekers with real-time updates and notifications
Next.jsAppwriteSEOContent Management
Why us
What you're actually buying
Not just the deliverable — the way the project runs.
Fixed scope, not an hourly meter
One number agreed before we start, quoted in USD against a written scope. No hourly billing, no change-order for work that was always in scope.
We work your hours
Daily overlap with US Eastern, Central and Pacific. Calls at 9am your time, not 9am ours.
Fluent English, direct access
You talk to the people building it — no account manager relay, no translation gap.
NDA signed before you share anything
Send yours or use ours, signed same-day at no cost. Your idea, code and data stay yours.
Prices in writing
A dated proposal with scope, milestones and the final number. No hourly meter.
You own everything, always
Code, designs, hosting, domains and logins handed over in full. Nothing is locked to us.
FAQ
Agent vs Chatbot — your questions answered
What actually makes something an agent rather than a chatbot?+
Tool use. A chatbot generates a response; an agent decides which tools to call, calls them, reads the results and decides what to do next. That loop is why agents can update a CRM record or process a document, and also why they need permissions, guardrails and far more testing.
Can one system do both?+
Yes, and many should. A support bot that answers policy questions and also looks up a live order status is doing both. The line matters less for architecture than for cost and risk — the moment it can change something, it needs the guardrails of an agent.
Which is more likely to make something up?+
Both can, and both are handled the same way: answer only from your documents, and say 'I don't know' rather than guessing. The consequence differs though. A chatbot that invents an answer misinforms someone; an agent that acts on a wrong conclusion changes your data. That asymmetry is why agents get approval gates by default.
Do I need an agent to book appointments?+
Not necessarily — a chatbot with a calendar integration handles straightforward booking, and that's our Support tier at $899. You need an agent when the booking involves judgement: which technician, what duration, whether this customer qualifies, what to do when the preferred slot is gone.
Why are agents so much more expensive to run?+
Because one task is several model calls, not one. The agent reads the request, decides on a tool, interprets the result, decides again, and often re-reads context along the way. We route each step to the cheapest model that does it well, which cuts this substantially, but it will always exceed a single-answer chatbot.
Free consultation
Still not sure which way to go?
Free 30-minute call. We'll tell you honestly which option fits — including when the answer isn't us.
Prefer to talk now? +91 86885 48048 — we call US numbers back same day.